Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As a Senior Analyst - BCG Vantage on our Client Focus (CF) path within BCG's Transform Practice Area you will work in a growing global team, delivering value to clients via individual expertise and/or institutionalized BCG Vantage assets (products, tools, data, workshops, frameworks, surveys, domain-specific data and related expertise, etc.). You will contribute on cases and proposals by contributing relevant analysis and insights and help case teams create strong impact for the client. While contributing to client cases, workshops and proposals, occasional travel to serve clients onsite during staffing assignments is expected to understand client requirements, and design / develop solutions. You will support commercialization efforts for the topic/sector working, in conjunction with business leaders, through contributing analysis and insights to proposals, client workshops and marketing materials. Additionally, as a Senior Analyst - BCG Vantage, you will contribute to developing intellectual property & assets for the business and assist in onboarding and training junior colleagues based on your topic/sector expertise. BCG Transform's mission is to shape and accelerate transformation programs to deliver rapid and sustained impact with executional certainty. Our work is underpinned by a distinctive approach that addresses both the 'HOW' and the 'WHAT' of strategic transformation. The WHAT focuses on the strategic improvements necessary in operations and processes. Our methodology encompasses a holistic strategy to elevate end-to-end business performance. This strategy is supported by actions to drive revenue growth, such as pricing optimization and salesforce effectiveness, tied to clear metrics and KPIs. We also work on cost reduction through various measures like cost excellence and organizational simplicity, while enhancing the balance sheet through better working capital and liquidity management. The HOW involves setting companies up for sustained success. This includes establishing executional certainty through a well-coordinated transformation office, ensuring financial tracking, and implementing rigorous processes and tools. We focus on enabling leaders, engaging people, and fostering a culture aligned with the transformation vision. Leaders are empowered and accountable, while teams are motivated and equipped to contribute to the transformation, supported by target behaviors that are reinforced throughout the organization. YOU'RE GOOD AT Partner and work closely with case teams and client stakeholders across large-scale transformation, restructuring, and turnaround cases to drive actionable outcomes Solve complex business and transformation challenges through targeted research, analytics, and problem-solving approaches evelop insights on industry trends, transformation topics, and proprietary data/tools to support client impact and codify intellectual property Apply knowledge of transformation, restructuring, turnaround, change management, and related topics to support delivery of client solutions Bring a good understanding of P&L and Balance Sheet KPIs to support financial and operational analyses Use Excel and financial modelling capabilities to analyze business performance and support decision-making Leverage data analysis and visualization tools (e.g., Tableau, Alteryx) to generate insights and improve client outcomes Communicate clearly and credibly with case teams and client stakeholders, contributing confidently in problem-solving discussions Working collaboratively and effectively in a group dynamic both virtual and in-person, proficient in agile ways of working Operate effectively within a matrix organization, demonstrating ownership, initiative, and the ability to influence stakeholders Bring a curious, flexible, and creative mindset, with the ability to challenge thinking and propose innovative solutions Navigate ambiguity and complexity with a structured and solution-oriented approach Applying Generative AI tools and techniques (e.g., LLM workflows, agentic systems, retrieval-based solutions) to accelerate transformation and change management outcomes What You'll Bring 4+ years of consulting experience in driving transformation, restructuring, turnaround and/or change management work; candidates with consulting experience strongly preferred. In lieu of consulting experience, 5+ years minimum industry experience required Master's Degree preferred or Bachelor's Degree will be considered if they have demonstrated the minimum required work experience Fluency in English Strong business acumen and problem-solving capabilities Strong written and verbal communication skills Familiarity with Generative AI ecosystems, large language models (LLMs), agentic workflows, and enterprise AI applications Ability to rapidly prototype analytical and AI-driven solutions using modern tolling and iterative experimental approaches Using Python, SQL, and modern analytics/AI tooling to support problem-solving, automation, and insight generation is a plus Who You'll Work With As a Senior Analyst - BCG Vantage, you will work face to face with clients and with BCG Project Leaders, Associates and Consultants. In the period between cases, you will collaborate with global topic leads and colleagues across BCG to bring expertise and capabilities to the service of our internal and external clients. Our team is made up a diverse pool of BCG Vantage positions that allow us to pursue exciting, innovative BCG Vantage careers. Additional info BCG Vantage is a powerhouse of expertise, seamlessly embedded within Practice Areas and markets to drive extraordinary impact. It equips BCG case teams and clients with cutting-edge expertise, proprietary assets, actionable data, and transformative insights that empower our case teams and enable our clients to achieve their aspirations. With global experts across 20 Practices, covering more than 100 topics, sectors and offers, plus four focused geographic markets, BCG Vantage delivers unparalleled depth and breadth of insight & expertise. BCG Vantage consists of three career paths, each playing a crucial role in delivering value to clients, case teams and practice teams. Client Focus (Embedded Expertise) Integrates into client-facing teams to deliver direct client impact through expertise, know-how, and proprietary tools and assets Topic Activation (Sector Expertise with Proprietary Tool & Data Solutions) Combines deep domain insights with our know-how and proprietary assets to address targeted challenges directly with clients and project teams; co-creates insights on industry trends and functional topics, proprietary data and tools, and teams to codify IP that all enables BCG to deliver excellent business value with its clients Research (Practice Topic and Sector-Aligned Research and Insights) Delivers actionable research and insights tailored to the client project's needs; works with qualitative and quantitative data, conducts research and provides synthesized results from sources including commercial data, public and open source, company and industry research, macro-economic, commodities and trade data Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
27/06/2026
Full time
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As a Senior Analyst - BCG Vantage on our Client Focus (CF) path within BCG's Transform Practice Area you will work in a growing global team, delivering value to clients via individual expertise and/or institutionalized BCG Vantage assets (products, tools, data, workshops, frameworks, surveys, domain-specific data and related expertise, etc.). You will contribute on cases and proposals by contributing relevant analysis and insights and help case teams create strong impact for the client. While contributing to client cases, workshops and proposals, occasional travel to serve clients onsite during staffing assignments is expected to understand client requirements, and design / develop solutions. You will support commercialization efforts for the topic/sector working, in conjunction with business leaders, through contributing analysis and insights to proposals, client workshops and marketing materials. Additionally, as a Senior Analyst - BCG Vantage, you will contribute to developing intellectual property & assets for the business and assist in onboarding and training junior colleagues based on your topic/sector expertise. BCG Transform's mission is to shape and accelerate transformation programs to deliver rapid and sustained impact with executional certainty. Our work is underpinned by a distinctive approach that addresses both the 'HOW' and the 'WHAT' of strategic transformation. The WHAT focuses on the strategic improvements necessary in operations and processes. Our methodology encompasses a holistic strategy to elevate end-to-end business performance. This strategy is supported by actions to drive revenue growth, such as pricing optimization and salesforce effectiveness, tied to clear metrics and KPIs. We also work on cost reduction through various measures like cost excellence and organizational simplicity, while enhancing the balance sheet through better working capital and liquidity management. The HOW involves setting companies up for sustained success. This includes establishing executional certainty through a well-coordinated transformation office, ensuring financial tracking, and implementing rigorous processes and tools. We focus on enabling leaders, engaging people, and fostering a culture aligned with the transformation vision. Leaders are empowered and accountable, while teams are motivated and equipped to contribute to the transformation, supported by target behaviors that are reinforced throughout the organization. YOU'RE GOOD AT Partner and work closely with case teams and client stakeholders across large-scale transformation, restructuring, and turnaround cases to drive actionable outcomes Solve complex business and transformation challenges through targeted research, analytics, and problem-solving approaches evelop insights on industry trends, transformation topics, and proprietary data/tools to support client impact and codify intellectual property Apply knowledge of transformation, restructuring, turnaround, change management, and related topics to support delivery of client solutions Bring a good understanding of P&L and Balance Sheet KPIs to support financial and operational analyses Use Excel and financial modelling capabilities to analyze business performance and support decision-making Leverage data analysis and visualization tools (e.g., Tableau, Alteryx) to generate insights and improve client outcomes Communicate clearly and credibly with case teams and client stakeholders, contributing confidently in problem-solving discussions Working collaboratively and effectively in a group dynamic both virtual and in-person, proficient in agile ways of working Operate effectively within a matrix organization, demonstrating ownership, initiative, and the ability to influence stakeholders Bring a curious, flexible, and creative mindset, with the ability to challenge thinking and propose innovative solutions Navigate ambiguity and complexity with a structured and solution-oriented approach Applying Generative AI tools and techniques (e.g., LLM workflows, agentic systems, retrieval-based solutions) to accelerate transformation and change management outcomes What You'll Bring 4+ years of consulting experience in driving transformation, restructuring, turnaround and/or change management work; candidates with consulting experience strongly preferred. In lieu of consulting experience, 5+ years minimum industry experience required Master's Degree preferred or Bachelor's Degree will be considered if they have demonstrated the minimum required work experience Fluency in English Strong business acumen and problem-solving capabilities Strong written and verbal communication skills Familiarity with Generative AI ecosystems, large language models (LLMs), agentic workflows, and enterprise AI applications Ability to rapidly prototype analytical and AI-driven solutions using modern tolling and iterative experimental approaches Using Python, SQL, and modern analytics/AI tooling to support problem-solving, automation, and insight generation is a plus Who You'll Work With As a Senior Analyst - BCG Vantage, you will work face to face with clients and with BCG Project Leaders, Associates and Consultants. In the period between cases, you will collaborate with global topic leads and colleagues across BCG to bring expertise and capabilities to the service of our internal and external clients. Our team is made up a diverse pool of BCG Vantage positions that allow us to pursue exciting, innovative BCG Vantage careers. Additional info BCG Vantage is a powerhouse of expertise, seamlessly embedded within Practice Areas and markets to drive extraordinary impact. It equips BCG case teams and clients with cutting-edge expertise, proprietary assets, actionable data, and transformative insights that empower our case teams and enable our clients to achieve their aspirations. With global experts across 20 Practices, covering more than 100 topics, sectors and offers, plus four focused geographic markets, BCG Vantage delivers unparalleled depth and breadth of insight & expertise. BCG Vantage consists of three career paths, each playing a crucial role in delivering value to clients, case teams and practice teams. Client Focus (Embedded Expertise) Integrates into client-facing teams to deliver direct client impact through expertise, know-how, and proprietary tools and assets Topic Activation (Sector Expertise with Proprietary Tool & Data Solutions) Combines deep domain insights with our know-how and proprietary assets to address targeted challenges directly with clients and project teams; co-creates insights on industry trends and functional topics, proprietary data and tools, and teams to codify IP that all enables BCG to deliver excellent business value with its clients Research (Practice Topic and Sector-Aligned Research and Insights) Delivers actionable research and insights tailored to the client project's needs; works with qualitative and quantitative data, conducts research and provides synthesized results from sources including commercial data, public and open source, company and industry research, macro-economic, commodities and trade data Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As a Senior Analyst - BCG Vantage on our Client Focus (CF) path within BCG's Transform Practice Area you will work in a growing global team, delivering value to clients via individual expertise and/or institutionalized BCG Vantage assets (products, tools, data, workshops, frameworks, surveys, domain-specific data and related expertise, etc.). You will contribute on cases and proposals by contributing relevant analysis and insights and help case teams create strong impact for the client. While contributing to client cases, workshops and proposals, occasional travel to serve clients onsite during staffing assignments is expected to understand client requirements, and design / develop solutions. You will support commercialization efforts for the topic/sector working, in conjunction with business leaders, through contributing analysis and insights to proposals, client workshops and marketing materials. Additionally, as a Senior Analyst - BCG Vantage, you will contribute to developing intellectual property & assets for the business and assist in onboarding and training junior colleagues based on your topic/sector expertise. BCG Transform's mission is to shape and accelerate transformation programs to deliver rapid and sustained impact with executional certainty. Our work is underpinned by a distinctive approach that addresses both the 'HOW' and the 'WHAT' of strategic transformation. The WHAT focuses on the strategic improvements necessary in operations and processes. Our methodology encompasses a holistic strategy to elevate end-to-end business performance. This strategy is supported by actions to drive revenue growth, such as pricing optimization and salesforce effectiveness, tied to clear metrics and KPIs. We also work on cost reduction through various measures like cost excellence and organizational simplicity, while enhancing the balance sheet through better working capital and liquidity management. The HOW involves setting companies up for sustained success. This includes establishing executional certainty through a well-coordinated transformation office, ensuring financial tracking, and implementing rigorous processes and tools. We focus on enabling leaders, engaging people, and fostering a culture aligned with the transformation vision. Leaders are empowered and accountable, while teams are motivated and equipped to contribute to the transformation, supported by target behaviors that are reinforced throughout the organization. YOU'RE GOOD AT Partner and work closely with case teams and client stakeholders across large-scale transformation, restructuring, and turnaround cases to drive actionable outcomes Solve complex business and transformation challenges through targeted research, analytics, and problem-solving approaches evelop insights on industry trends, transformation topics, and proprietary data/tools to support client impact and codify intellectual property Apply knowledge of transformation, restructuring, turnaround, change management, and related topics to support delivery of client solutions Bring a good understanding of P&L and Balance Sheet KPIs to support financial and operational analyses Use Excel and financial modelling capabilities to analyze business performance and support decision-making Leverage data analysis and visualization tools (e.g., Tableau, Alteryx) to generate insights and improve client outcomes Communicate clearly and credibly with case teams and client stakeholders, contributing confidently in problem-solving discussions Working collaboratively and effectively in a group dynamic both virtual and in-person, proficient in agile ways of working Operate effectively within a matrix organization, demonstrating ownership, initiative, and the ability to influence stakeholders Bring a curious, flexible, and creative mindset, with the ability to challenge thinking and propose innovative solutions Navigate ambiguity and complexity with a structured and solution-oriented approach Applying Generative AI tools and techniques (e.g., LLM workflows, agentic systems, retrieval-based solutions) to accelerate transformation and change management outcomes What You'll Bring 4+ years of consulting experience in driving transformation, restructuring, turnaround and/or change management work; candidates with consulting experience strongly preferred. In lieu of consulting experience, 5+ years minimum industry experience required Master's Degree preferred or Bachelor's Degree will be considered if they have demonstrated the minimum required work experience Fluency in English Strong business acumen and problem-solving capabilities Strong written and verbal communication skills Familiarity with Generative AI ecosystems, large language models (LLMs), agentic workflows, and enterprise AI applications Ability to rapidly prototype analytical and AI-driven solutions using modern tolling and iterative experimental approaches Using Python, SQL, and modern analytics/AI tooling to support problem-solving, automation, and insight generation is a plus Who You'll Work With As a Senior Analyst - BCG Vantage, you will work face to face with clients and with BCG Project Leaders, Associates and Consultants. In the period between cases, you will collaborate with global topic leads and colleagues across BCG to bring expertise and capabilities to the service of our internal and external clients. Our team is made up a diverse pool of BCG Vantage positions that allow us to pursue exciting, innovative BCG Vantage careers. Additional info BCG Vantage is a powerhouse of expertise, seamlessly embedded within Practice Areas and markets to drive extraordinary impact. It equips BCG case teams and clients with cutting-edge expertise, proprietary assets, actionable data, and transformative insights that empower our case teams and enable our clients to achieve their aspirations. With global experts across 20 Practices, covering more than 100 topics, sectors and offers, plus four focused geographic markets, BCG Vantage delivers unparalleled depth and breadth of insight & expertise. BCG Vantage consists of three career paths, each playing a crucial role in delivering value to clients, case teams and practice teams. Client Focus (Embedded Expertise) Integrates into client-facing teams to deliver direct client impact through expertise, know-how, and proprietary tools and assets Topic Activation (Sector Expertise with Proprietary Tool & Data Solutions) Combines deep domain insights with our know-how and proprietary assets to address targeted challenges directly with clients and project teams; co-creates insights on industry trends and functional topics, proprietary data and tools, and teams to codify IP that all enables BCG to deliver excellent business value with its clients Research (Practice Topic and Sector-Aligned Research and Insights) Delivers actionable research and insights tailored to the client project's needs; works with qualitative and quantitative data, conducts research and provides synthesized results from sources including commercial data, public and open source, company and industry research, macro-economic, commodities and trade data Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
27/06/2026
Full time
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As a Senior Analyst - BCG Vantage on our Client Focus (CF) path within BCG's Transform Practice Area you will work in a growing global team, delivering value to clients via individual expertise and/or institutionalized BCG Vantage assets (products, tools, data, workshops, frameworks, surveys, domain-specific data and related expertise, etc.). You will contribute on cases and proposals by contributing relevant analysis and insights and help case teams create strong impact for the client. While contributing to client cases, workshops and proposals, occasional travel to serve clients onsite during staffing assignments is expected to understand client requirements, and design / develop solutions. You will support commercialization efforts for the topic/sector working, in conjunction with business leaders, through contributing analysis and insights to proposals, client workshops and marketing materials. Additionally, as a Senior Analyst - BCG Vantage, you will contribute to developing intellectual property & assets for the business and assist in onboarding and training junior colleagues based on your topic/sector expertise. BCG Transform's mission is to shape and accelerate transformation programs to deliver rapid and sustained impact with executional certainty. Our work is underpinned by a distinctive approach that addresses both the 'HOW' and the 'WHAT' of strategic transformation. The WHAT focuses on the strategic improvements necessary in operations and processes. Our methodology encompasses a holistic strategy to elevate end-to-end business performance. This strategy is supported by actions to drive revenue growth, such as pricing optimization and salesforce effectiveness, tied to clear metrics and KPIs. We also work on cost reduction through various measures like cost excellence and organizational simplicity, while enhancing the balance sheet through better working capital and liquidity management. The HOW involves setting companies up for sustained success. This includes establishing executional certainty through a well-coordinated transformation office, ensuring financial tracking, and implementing rigorous processes and tools. We focus on enabling leaders, engaging people, and fostering a culture aligned with the transformation vision. Leaders are empowered and accountable, while teams are motivated and equipped to contribute to the transformation, supported by target behaviors that are reinforced throughout the organization. YOU'RE GOOD AT Partner and work closely with case teams and client stakeholders across large-scale transformation, restructuring, and turnaround cases to drive actionable outcomes Solve complex business and transformation challenges through targeted research, analytics, and problem-solving approaches evelop insights on industry trends, transformation topics, and proprietary data/tools to support client impact and codify intellectual property Apply knowledge of transformation, restructuring, turnaround, change management, and related topics to support delivery of client solutions Bring a good understanding of P&L and Balance Sheet KPIs to support financial and operational analyses Use Excel and financial modelling capabilities to analyze business performance and support decision-making Leverage data analysis and visualization tools (e.g., Tableau, Alteryx) to generate insights and improve client outcomes Communicate clearly and credibly with case teams and client stakeholders, contributing confidently in problem-solving discussions Working collaboratively and effectively in a group dynamic both virtual and in-person, proficient in agile ways of working Operate effectively within a matrix organization, demonstrating ownership, initiative, and the ability to influence stakeholders Bring a curious, flexible, and creative mindset, with the ability to challenge thinking and propose innovative solutions Navigate ambiguity and complexity with a structured and solution-oriented approach Applying Generative AI tools and techniques (e.g., LLM workflows, agentic systems, retrieval-based solutions) to accelerate transformation and change management outcomes What You'll Bring 4+ years of consulting experience in driving transformation, restructuring, turnaround and/or change management work; candidates with consulting experience strongly preferred. In lieu of consulting experience, 5+ years minimum industry experience required Master's Degree preferred or Bachelor's Degree will be considered if they have demonstrated the minimum required work experience Fluency in English Strong business acumen and problem-solving capabilities Strong written and verbal communication skills Familiarity with Generative AI ecosystems, large language models (LLMs), agentic workflows, and enterprise AI applications Ability to rapidly prototype analytical and AI-driven solutions using modern tolling and iterative experimental approaches Using Python, SQL, and modern analytics/AI tooling to support problem-solving, automation, and insight generation is a plus Who You'll Work With As a Senior Analyst - BCG Vantage, you will work face to face with clients and with BCG Project Leaders, Associates and Consultants. In the period between cases, you will collaborate with global topic leads and colleagues across BCG to bring expertise and capabilities to the service of our internal and external clients. Our team is made up a diverse pool of BCG Vantage positions that allow us to pursue exciting, innovative BCG Vantage careers. Additional info BCG Vantage is a powerhouse of expertise, seamlessly embedded within Practice Areas and markets to drive extraordinary impact. It equips BCG case teams and clients with cutting-edge expertise, proprietary assets, actionable data, and transformative insights that empower our case teams and enable our clients to achieve their aspirations. With global experts across 20 Practices, covering more than 100 topics, sectors and offers, plus four focused geographic markets, BCG Vantage delivers unparalleled depth and breadth of insight & expertise. BCG Vantage consists of three career paths, each playing a crucial role in delivering value to clients, case teams and practice teams. Client Focus (Embedded Expertise) Integrates into client-facing teams to deliver direct client impact through expertise, know-how, and proprietary tools and assets Topic Activation (Sector Expertise with Proprietary Tool & Data Solutions) Combines deep domain insights with our know-how and proprietary assets to address targeted challenges directly with clients and project teams; co-creates insights on industry trends and functional topics, proprietary data and tools, and teams to codify IP that all enables BCG to deliver excellent business value with its clients Research (Practice Topic and Sector-Aligned Research and Insights) Delivers actionable research and insights tailored to the client project's needs; works with qualitative and quantitative data, conducts research and provides synthesized results from sources including commercial data, public and open source, company and industry research, macro-economic, commodities and trade data Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Job Title Airport Capacity Planning Data Scientist Reports to: Process Information Manager Location: London - Heathrow (All Terminals) Contract Type: Permanent Introduction We are seeking an experienced Capacity Planning Data Scientist to join the Airport Capacity & Planning team at Vanderlande, embedded within Heathrow Airport's baggage handling operations. This is a technically demanding role at the intersection of data science, operations research, and airport systems engineering. Role Responsibilities Develop and maintain machine learning models, simulation tools, and analytical frameworks that directly inform capacity planning decisions across one of the world's busiest airport baggage systems-processing in excess of 80 million bags annually across four terminals. Design, build, and validate machine learning models (e.g. XGBoost, GBM, random forests) for forecasting baggage volumes, capacity utilisation, and recirculation rates across all terminals. Engineer temporal and lag based features from high volume trace datasets (180M+ historical rows, 80,000+ daily ingestions) to improve model accuracy. Conduct hyperparameter tuning, cross validation, and model selection using rigorous statistical methods; target production grade performance metrics (e.g. R > 0.95, low RMSE/MAE). Develop time series decomposition and anomaly detection pipelines to identify emerging operational bottlenecks. Build and calibrate discrete event simulation (DES) models of terminal baggage systems to stress test capacity under various demand scenarios. Produce peak flow analyses, what if modelling, and scenario planning outputs to support infrastructure investment decisions and airline schedule changes. Translate complex analytical outputs into clear, actionable capacity recommendations for operational stakeholders and airline partners. Develop interactive Shiny applications and dashboards for real time and historical performance monitoring. Create publication quality reports and presentations using LaTeX and PowerPoint for senior leadership, airline customers, and Heathrow Airport Ltd stakeholders. Present findings to non technical audiences, distilling complex statistical concepts into clear operational insights. Stay current with advances in applied machine learning, operations research, and airport technology. Identify opportunities to apply AI/ML techniques (e.g. GPU accelerated training, LLM assisted analysis) to improve operational decision making. Contribute to the team's code standards, documentation, and reproducible research practices. Role Qualification and Skills Master's degree (or equivalent) in Data Science, Statistics, Operations Research, Computer Science, Mathematics, or a closely related quantitative discipline. Demonstrable portfolio of applied machine learning projects with real world datasets. Advanced proficiency in R programming, including tidyverse, data.table, caret/tidymodels, xgboost, and Shiny. Strong SQL skills with experience querying large scale relational databases (Azure SQL, PostgreSQL, or equivalent). Hands on experience with DuckDB or similar columnar/analytical databases for high performance local analytics. Solid understanding of supervised learning algorithms (gradient boosting, ensemble methods, regularised regression) with practical deployment experience. Experience with feature engineering for time series and operational data, including lag features, rolling aggregates, and temporal encoding. Proficiency in data pipeline development using Azure Data Factory, or similar orchestration tools. Proven ability to translate business problems into analytical frameworks and deliver actionable recommendations. Excellent written and verbal communication skills; comfortable presenting to senior leadership and external stakeholders. Strong problem solving mindset with attention to statistical rigour and reproducibility. Ability to work effectively within a team of 9 analysts while managing independent workstreams. Experience in aviation, airport operations, logistics, or baggage handling systems. Familiarity with discrete event simulation tools and methodologies. Knowledge of LaTeX for technical documentation and report generation. Experience with GPU accelerated machine learning (CUDA, cuML) or high performance computing environments. Exposure to version control (Git) and collaborative development workflows. Familiarity with Python as a secondary language for interoperability. Benefits 28 days annual leave (excluding public holidays) Bupa Medical Cover YuLife - Wellbeing membership with fast access to GP appointments, promotion of health and wellbeing along with daily quests to gain Yucoins that can be swapped for shopping vouchers A challenging work environment with lots of opportunities of career progression. Cycle to work scheme Yellow Nest is a salary exchange scheme that reduces childcare costs for parents and employers Pension with Aviva Access to Achievers an award winning recognition platform that inspires to recognise your coworkers where points are awarded that can be exchanged for a range of goods and discounts. Diversity & Inclusion Vanderlande is an equal opportunity/affirmative action employer. Qualified applicants will be considered without regards to race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status. If you feel there is a barrier that potentially prevents you from applying, we are always happy to discuss or explore, any reasonable adjustments can be made to support your application.
26/06/2026
Full time
Job Title Airport Capacity Planning Data Scientist Reports to: Process Information Manager Location: London - Heathrow (All Terminals) Contract Type: Permanent Introduction We are seeking an experienced Capacity Planning Data Scientist to join the Airport Capacity & Planning team at Vanderlande, embedded within Heathrow Airport's baggage handling operations. This is a technically demanding role at the intersection of data science, operations research, and airport systems engineering. Role Responsibilities Develop and maintain machine learning models, simulation tools, and analytical frameworks that directly inform capacity planning decisions across one of the world's busiest airport baggage systems-processing in excess of 80 million bags annually across four terminals. Design, build, and validate machine learning models (e.g. XGBoost, GBM, random forests) for forecasting baggage volumes, capacity utilisation, and recirculation rates across all terminals. Engineer temporal and lag based features from high volume trace datasets (180M+ historical rows, 80,000+ daily ingestions) to improve model accuracy. Conduct hyperparameter tuning, cross validation, and model selection using rigorous statistical methods; target production grade performance metrics (e.g. R > 0.95, low RMSE/MAE). Develop time series decomposition and anomaly detection pipelines to identify emerging operational bottlenecks. Build and calibrate discrete event simulation (DES) models of terminal baggage systems to stress test capacity under various demand scenarios. Produce peak flow analyses, what if modelling, and scenario planning outputs to support infrastructure investment decisions and airline schedule changes. Translate complex analytical outputs into clear, actionable capacity recommendations for operational stakeholders and airline partners. Develop interactive Shiny applications and dashboards for real time and historical performance monitoring. Create publication quality reports and presentations using LaTeX and PowerPoint for senior leadership, airline customers, and Heathrow Airport Ltd stakeholders. Present findings to non technical audiences, distilling complex statistical concepts into clear operational insights. Stay current with advances in applied machine learning, operations research, and airport technology. Identify opportunities to apply AI/ML techniques (e.g. GPU accelerated training, LLM assisted analysis) to improve operational decision making. Contribute to the team's code standards, documentation, and reproducible research practices. Role Qualification and Skills Master's degree (or equivalent) in Data Science, Statistics, Operations Research, Computer Science, Mathematics, or a closely related quantitative discipline. Demonstrable portfolio of applied machine learning projects with real world datasets. Advanced proficiency in R programming, including tidyverse, data.table, caret/tidymodels, xgboost, and Shiny. Strong SQL skills with experience querying large scale relational databases (Azure SQL, PostgreSQL, or equivalent). Hands on experience with DuckDB or similar columnar/analytical databases for high performance local analytics. Solid understanding of supervised learning algorithms (gradient boosting, ensemble methods, regularised regression) with practical deployment experience. Experience with feature engineering for time series and operational data, including lag features, rolling aggregates, and temporal encoding. Proficiency in data pipeline development using Azure Data Factory, or similar orchestration tools. Proven ability to translate business problems into analytical frameworks and deliver actionable recommendations. Excellent written and verbal communication skills; comfortable presenting to senior leadership and external stakeholders. Strong problem solving mindset with attention to statistical rigour and reproducibility. Ability to work effectively within a team of 9 analysts while managing independent workstreams. Experience in aviation, airport operations, logistics, or baggage handling systems. Familiarity with discrete event simulation tools and methodologies. Knowledge of LaTeX for technical documentation and report generation. Experience with GPU accelerated machine learning (CUDA, cuML) or high performance computing environments. Exposure to version control (Git) and collaborative development workflows. Familiarity with Python as a secondary language for interoperability. Benefits 28 days annual leave (excluding public holidays) Bupa Medical Cover YuLife - Wellbeing membership with fast access to GP appointments, promotion of health and wellbeing along with daily quests to gain Yucoins that can be swapped for shopping vouchers A challenging work environment with lots of opportunities of career progression. Cycle to work scheme Yellow Nest is a salary exchange scheme that reduces childcare costs for parents and employers Pension with Aviva Access to Achievers an award winning recognition platform that inspires to recognise your coworkers where points are awarded that can be exchanged for a range of goods and discounts. Diversity & Inclusion Vanderlande is an equal opportunity/affirmative action employer. Qualified applicants will be considered without regards to race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status. If you feel there is a barrier that potentially prevents you from applying, we are always happy to discuss or explore, any reasonable adjustments can be made to support your application.
The starting salary for this role is £42,958 per annum, based on a 36-hour working week. This role is a fixed term contract / secondment opportunity until 31st March 2027. We have an exciting opportunity for a Performance Data Analyst to join our Performance and Analytics Team within Adults, Wellbeing, and Health Partnerships (AWHP). This role will be hybrid which means a blend of working from home, Surrey offices and predominantly from a warehouse located between Guildford and Woking. This role is officially based at Millmead House in Guildford but will also require travel to locations that are not easily accessible by public transport, therefore the successful applicant will need to have their own method of transport. There is an expectation for the post holder to work from the office at least one day per week. Our Offer to You 26 days' holiday, rising to 28 days after 2 years' service and 31 days after 5 years' service (pro rata for part time staff) Option to buy up to 10 days of additional annual leave A generous local government salary related pension Up to 5 days of carer's leave and 2 paid volunteering days per year Paternity, adoption and dependents leave An Employee Assistance Programme (EAP) to support health and wellbeing. Learning and development hub where you can access a wealth of resources. Wellbeing and lifestyle discounts including gym, travel, and shopping. A chance to make a real difference to the lives of our residents. About the Role We are looking for a highly motivated and conscientious individual to join our dynamic and friendly Performance and Analytics team as a Performance Data Analyst. The key focus of this post will be to support Surrey's Community Equipment Service (CES) Team with critical analytics and insights to support the smooth, safe and efficient running and development of the service. This is an exciting opportunity to apply and develop your skills in data analytics, stakeholder collaboration and commercial awareness within Local Government and the Adults, Wellbeing and Health Partnerships (AWHP) Directorate. The key aspects of this role are: Empowering teams within sights: Your role will be crucial in providing actionable insights to Commissioners and Contract Managers, enabling them to understand trends, measure outcomes, and implement best practices. By translating complex data into clear, impactful information, you will support them in delivering a more effective equipment service, ultimately improving the lives of our residents. Driving informed decision making: Your work will directly influence the strategic decisions that enhance the quality of services provided. By analysing and presenting data on service performance, your recommendations and insights will help identify areas for improvement, ensuring that Surrey's equipment offer is continuously optimised to meet the needs of our most vulnerable residents. Enhancing efficiency and resource allocation: Through robust data analysis, you will support the streamlining of operations and ensure resources are targeted where they are needed most. This will enable more efficient use of time and funding, allowing greater investment in service improvements. Devolution & Local Government Reorganisation: As a subject matter expert, your insight will be crucial in supporting Surrey's preparations for Devolution and Local Government Reorganisation. You will provide essential data and analytics, as well as making informed recommendations to support decision-making. Your Application To be considered for shortlisting your application will clearly evidence the following skills and align with our behaviours: Strong analytical skills: Proven ability to analyse complex data sets, identify trends, and draw actionable insights. Experience with data visualisation tools and statistical analysis software is essential. Technical proficiency: Proficiency in data visualisation software Tableau, knowledge of programming languages such as SQL, Python, or R, and familiarity with big data technologies. Experience with Tableau Software is critical and Tableau Skills will be assessed as part of the recruitment process through a test on the day of the interview. Attention to detail and accuracy: Strong attention to detail with a commitment to accuracy and quality in data analysis. Ability to meticulously check data integrity and ensure that all analysis is based on reliable and precise data. Creative problem-solving ability: Ability to develop innovative solutions to data-related challenges. Ability to think outside the box and approach problems from multiple angles to find effective and unique solutions. Initiative: Ability to progress multiple ongoing projects, manage competing deadlines, and take ownership of and prioritise own workload. Use of initiative to work with stakeholders to resolve and/or escalate blockers to facilitate project completion. Communication and collaboration: Excellent communication skills to effectively present findings and recommendations to both technical and non-technical stakeholders. Experience working in cross-functional teams and collaborating with diverse groups. Proven track record of developing strong professional relationships with internal and external stakeholders and collaborating effectively to identify analytics requirements, resolve data issues, and progress projects through to completion. To apply, we request that you submit a CV and you will be asked the following 4 questions (maximum of 250-300 words each): Adult Social Care data often comes from multiple sources with varying levels of completeness and accuracy, and some datasets are very large and complex. How would you assess, clean, and validate data before using it for analysis? Please describe a time when you analysed data and identified a trend or issue that supported strategic decision-making at a senior level. What approach did you take and what was the impact? This role involves working closely with commissioners, finance colleagues, and operational managers who may have different levels of data literacy. How would you adapt your communication style to engage, influence, and build trust with these stakeholders? Please give an example of a time when you developed a new approach, tool, or method that improved the way data was processed, analysed, visualised, or used for decision-making. How did this benefit your team or organisation? Before submitting your application, we recommend you read the job description and our Life at Surrey handbook to get an insight into working at Surrey. The job advert closes at 23:59 on 05/07/2026 with face-to-face interviews planned to follow. We look forward to receiving your application, please click on the apply online button below to submit. Local Government Reorganisation (LGR) Surrey County Council is undergoing Local Government Reorganisation, moving from a two-tier system to two new unitary councils in April 2027. If you are employed by Surrey on 1st April 2027, your role will transfer with current terms and conditions to one of the new organisations, supporting local devolution and greater powers for our communities. Join our dynamic team and shape the future of local government. Make a lasting impact with innovative solutions and improved services for our community. Help us build a brighter future for our residents! Please see more information on our website. Our Commitment We are a disability confident employer which means if you have shared a disability on your application form and have evidenced you meet the minimum criteria, we guarantee you an interview. Your skills and experience truly matter to us. From application to your first day, we're committed to supporting you with any adjustments you need, we value inclusion and warmly welcome you to join and help build a workplace where everyone belongs.
26/06/2026
Full time
The starting salary for this role is £42,958 per annum, based on a 36-hour working week. This role is a fixed term contract / secondment opportunity until 31st March 2027. We have an exciting opportunity for a Performance Data Analyst to join our Performance and Analytics Team within Adults, Wellbeing, and Health Partnerships (AWHP). This role will be hybrid which means a blend of working from home, Surrey offices and predominantly from a warehouse located between Guildford and Woking. This role is officially based at Millmead House in Guildford but will also require travel to locations that are not easily accessible by public transport, therefore the successful applicant will need to have their own method of transport. There is an expectation for the post holder to work from the office at least one day per week. Our Offer to You 26 days' holiday, rising to 28 days after 2 years' service and 31 days after 5 years' service (pro rata for part time staff) Option to buy up to 10 days of additional annual leave A generous local government salary related pension Up to 5 days of carer's leave and 2 paid volunteering days per year Paternity, adoption and dependents leave An Employee Assistance Programme (EAP) to support health and wellbeing. Learning and development hub where you can access a wealth of resources. Wellbeing and lifestyle discounts including gym, travel, and shopping. A chance to make a real difference to the lives of our residents. About the Role We are looking for a highly motivated and conscientious individual to join our dynamic and friendly Performance and Analytics team as a Performance Data Analyst. The key focus of this post will be to support Surrey's Community Equipment Service (CES) Team with critical analytics and insights to support the smooth, safe and efficient running and development of the service. This is an exciting opportunity to apply and develop your skills in data analytics, stakeholder collaboration and commercial awareness within Local Government and the Adults, Wellbeing and Health Partnerships (AWHP) Directorate. The key aspects of this role are: Empowering teams within sights: Your role will be crucial in providing actionable insights to Commissioners and Contract Managers, enabling them to understand trends, measure outcomes, and implement best practices. By translating complex data into clear, impactful information, you will support them in delivering a more effective equipment service, ultimately improving the lives of our residents. Driving informed decision making: Your work will directly influence the strategic decisions that enhance the quality of services provided. By analysing and presenting data on service performance, your recommendations and insights will help identify areas for improvement, ensuring that Surrey's equipment offer is continuously optimised to meet the needs of our most vulnerable residents. Enhancing efficiency and resource allocation: Through robust data analysis, you will support the streamlining of operations and ensure resources are targeted where they are needed most. This will enable more efficient use of time and funding, allowing greater investment in service improvements. Devolution & Local Government Reorganisation: As a subject matter expert, your insight will be crucial in supporting Surrey's preparations for Devolution and Local Government Reorganisation. You will provide essential data and analytics, as well as making informed recommendations to support decision-making. Your Application To be considered for shortlisting your application will clearly evidence the following skills and align with our behaviours: Strong analytical skills: Proven ability to analyse complex data sets, identify trends, and draw actionable insights. Experience with data visualisation tools and statistical analysis software is essential. Technical proficiency: Proficiency in data visualisation software Tableau, knowledge of programming languages such as SQL, Python, or R, and familiarity with big data technologies. Experience with Tableau Software is critical and Tableau Skills will be assessed as part of the recruitment process through a test on the day of the interview. Attention to detail and accuracy: Strong attention to detail with a commitment to accuracy and quality in data analysis. Ability to meticulously check data integrity and ensure that all analysis is based on reliable and precise data. Creative problem-solving ability: Ability to develop innovative solutions to data-related challenges. Ability to think outside the box and approach problems from multiple angles to find effective and unique solutions. Initiative: Ability to progress multiple ongoing projects, manage competing deadlines, and take ownership of and prioritise own workload. Use of initiative to work with stakeholders to resolve and/or escalate blockers to facilitate project completion. Communication and collaboration: Excellent communication skills to effectively present findings and recommendations to both technical and non-technical stakeholders. Experience working in cross-functional teams and collaborating with diverse groups. Proven track record of developing strong professional relationships with internal and external stakeholders and collaborating effectively to identify analytics requirements, resolve data issues, and progress projects through to completion. To apply, we request that you submit a CV and you will be asked the following 4 questions (maximum of 250-300 words each): Adult Social Care data often comes from multiple sources with varying levels of completeness and accuracy, and some datasets are very large and complex. How would you assess, clean, and validate data before using it for analysis? Please describe a time when you analysed data and identified a trend or issue that supported strategic decision-making at a senior level. What approach did you take and what was the impact? This role involves working closely with commissioners, finance colleagues, and operational managers who may have different levels of data literacy. How would you adapt your communication style to engage, influence, and build trust with these stakeholders? Please give an example of a time when you developed a new approach, tool, or method that improved the way data was processed, analysed, visualised, or used for decision-making. How did this benefit your team or organisation? Before submitting your application, we recommend you read the job description and our Life at Surrey handbook to get an insight into working at Surrey. The job advert closes at 23:59 on 05/07/2026 with face-to-face interviews planned to follow. We look forward to receiving your application, please click on the apply online button below to submit. Local Government Reorganisation (LGR) Surrey County Council is undergoing Local Government Reorganisation, moving from a two-tier system to two new unitary councils in April 2027. If you are employed by Surrey on 1st April 2027, your role will transfer with current terms and conditions to one of the new organisations, supporting local devolution and greater powers for our communities. Join our dynamic team and shape the future of local government. Make a lasting impact with innovative solutions and improved services for our community. Help us build a brighter future for our residents! Please see more information on our website. Our Commitment We are a disability confident employer which means if you have shared a disability on your application form and have evidenced you meet the minimum criteria, we guarantee you an interview. Your skills and experience truly matter to us. From application to your first day, we're committed to supporting you with any adjustments you need, we value inclusion and warmly welcome you to join and help build a workplace where everyone belongs.
Description As a Senior Data Analyst at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data-led. You'll join our data team in its mission to get data knowledge and skills out of silos and embedded into delivery teams. You will provide advanced data modelling, predictive analytics, and data visualisation, allowing us to deliver more sophisticated and customised solutions to our clients. The role is very hands on and you'll support as a senior contributor role for a project, focusing on: Data analysis and reporting: Conducting in depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation: Producing BI dashboards using industry standard tools - Power BI, Tableau, Quicksight etc. Client interaction: Collaborating with clients to understand their needs, translating these into analytical solutions, and presenting findings in a clear, actionable manner. Mentoring junior analysts, leading data focused projects, and setting best practices in data analysis. Technical Skills Application of analytical techniques: Proficiency in applying various analytical methods such as statistical analysis, data mining, and qualitative analysis. Ability to select and apply appropriate techniques based on the context and research data. Synthesis of research data: Experience in synthesising research data to present actionable insights and solutions. Ability to articulate the impact of their analysis on decision making and problem solving. Engagement with sceptical colleagues: Effective communication and persuasion skills to engage and gain buy in from sceptical colleagues. Ability to foster collaboration and address concerns to ensure adherence to best practices. Advisory and critique skills: Capability to advise on the choice and application of analytical techniques and critique colleagues' findings to ensure high standards in data analysis. Understanding of data sources and storage: Knowledge of various data sources, data organisation, and storage practices. Commitment to maintaining data integrity and accessibility. Advocacy for data governance: Experience in advocating for data governance standards and influencing team adherence to data quality practices. Continuous improvement: Ability to communicate and implement continuous improvements in data management practices through documentation, training, and regular team engagement. Toolset management: Proficiency in defining and supporting common toolsets for data management, ensuring efficiency and seamless integration. Automation of data management: Experience in automating data management activities to streamline processes and increase accuracy. Compliance with data governance policies: Understanding and ensuring compliance with data governance policies, maintaining data security and ethical standards. Data modelling expertise: Proficient in conceptual, logical, and physical data modelling. Ability to adhere to data modelling standards and best practices. Data cleansing and standardisation: Experience in resolving data quality issues and ensuring data accuracy through cleansing and standardisation techniques. Use of data integration tools: Skilled in using ETL tools for data integration and storage. Ensures data interoperability with other datasets. Collaboration with data professionals: Experience collaborating with other data professionals to improve modelling and integration standards and patterns. Interpretation of requirements: Ability to interpret data visualisation requirements and create meaningful, visually appealing representations tailored to the audience. Proficiency in visualisation tools: Experience with tools such as Tableau, Power BI, and Python libraries like Matplotlib and Seaborn. Knowledge of selecting appropriate visualisation types. Application of visualisation standards: Application of design principles to create clear, accurate, and accessible visualisations. Awareness of accessibility considerations. Mentorship in visualisation: Experience in reviewing and advising junior members to improve the quality and efficiency of data visualisations. Data quality assurance: Experience in implementing processes for data quality assessment and improvement, including data profiling, cleansing and standardisation. Data validation and linkage: Ability to perform data validation checks and integrate data from various sources to ensure consistency and accuracy. Data cleansing and preparation: Proficiency in defining data cleansing processes and preparing data for analysis by handling missing values, outliers and duplicates. Communication of data limitations: Skilled in articulating data constraints and limitations to stakeholders, providing context for informed decision making. Peer review and quality control: Experience in conducting peer reviews to validate data outputs, ensuring high standards of accuracy and reliability. Knowledge of statistical methodologies: Proficient in various statistical methods, such as hypothesis testing, regression analysis, clustering and time series analysis. Ability to select appropriate techniques based on project requirements. Data analysis and interpretation: Experience in using statistical software or programming languages to perform data analysis and generate insights. Skilled in communicating findings to technical and non technical stakeholders. Application of emerging theory: Willingness to explore and apply new statistical methodologies or practices to solve practical problems and adapt to emerging theories. Business Skills Stakeholder communication: Experience in effectively engaging with a diverse range of stakeholders, including technical and business individuals. Ability to manage expectations and facilitate productive discussions. Active and reactive communication: Proficiency in handling both proactive communication (updates, insights) and reactive communication (responding to inquiries, addressing concerns) to maintain a collaborative atmosphere. Interpretation of stakeholder needs: Ability to understand and translate stakeholder requirements into technical solutions. Experience in bridging the gap between technical and non technical stakeholders. Presentation and sharing of insights: Skilled in presenting complex data in a clear, understandable manner tailored to diverse audiences, including senior management. Problem solving approach: Ability to apply logical and creative thinking to resolve complex problems by breaking them down and generating innovative solutions. Decision making and action taking: Skilled in making informed decisions, prioritising tasks, and taking appropriate actions to resolve issues efficiently. Adaptability and learning orientation: Demonstrates adaptability in strategies and a commitment to continuous learning and improvement. Interpretation of stakeholder needs: Ability to understand and translate stakeholder requirements into technical solutions. Experience in bridging the gap between technical and non technical stakeholders. Presentation and sharing of insights: Skilled in presenting complex data in a clear, understandable manner tailored to diverse audiences, including senior management. Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to chat with each other. The Slack groups that have formed give an idea of the diversity within Made Tech. If you'd like to speak to someone from one of these groups about their experience as an employee, let your recruitment agent or Made Tech Talent Partner know. The groups are: antiracist-activists disability lgbtqiaplus-allies-and-activists neurodiversity parents-carers women-in-tech We are always listening to our growing teams and evolving the benefits available to our people. As we scale, so do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We're also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. Here are some of our most popular benefits listed below: 30 days Holiday - we offer 30 days of paid annual leave. Flexible Parental Leave - we offer flexible parental leave options. Remote Working - we offer part time remote working for all our staff. Paid counselling - we offer paid counselling as well as financial and legal advice. An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility . click apply for full job details
25/06/2026
Full time
Description As a Senior Data Analyst at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data-led. You'll join our data team in its mission to get data knowledge and skills out of silos and embedded into delivery teams. You will provide advanced data modelling, predictive analytics, and data visualisation, allowing us to deliver more sophisticated and customised solutions to our clients. The role is very hands on and you'll support as a senior contributor role for a project, focusing on: Data analysis and reporting: Conducting in depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation: Producing BI dashboards using industry standard tools - Power BI, Tableau, Quicksight etc. Client interaction: Collaborating with clients to understand their needs, translating these into analytical solutions, and presenting findings in a clear, actionable manner. Mentoring junior analysts, leading data focused projects, and setting best practices in data analysis. Technical Skills Application of analytical techniques: Proficiency in applying various analytical methods such as statistical analysis, data mining, and qualitative analysis. Ability to select and apply appropriate techniques based on the context and research data. Synthesis of research data: Experience in synthesising research data to present actionable insights and solutions. Ability to articulate the impact of their analysis on decision making and problem solving. Engagement with sceptical colleagues: Effective communication and persuasion skills to engage and gain buy in from sceptical colleagues. Ability to foster collaboration and address concerns to ensure adherence to best practices. Advisory and critique skills: Capability to advise on the choice and application of analytical techniques and critique colleagues' findings to ensure high standards in data analysis. Understanding of data sources and storage: Knowledge of various data sources, data organisation, and storage practices. Commitment to maintaining data integrity and accessibility. Advocacy for data governance: Experience in advocating for data governance standards and influencing team adherence to data quality practices. Continuous improvement: Ability to communicate and implement continuous improvements in data management practices through documentation, training, and regular team engagement. Toolset management: Proficiency in defining and supporting common toolsets for data management, ensuring efficiency and seamless integration. Automation of data management: Experience in automating data management activities to streamline processes and increase accuracy. Compliance with data governance policies: Understanding and ensuring compliance with data governance policies, maintaining data security and ethical standards. Data modelling expertise: Proficient in conceptual, logical, and physical data modelling. Ability to adhere to data modelling standards and best practices. Data cleansing and standardisation: Experience in resolving data quality issues and ensuring data accuracy through cleansing and standardisation techniques. Use of data integration tools: Skilled in using ETL tools for data integration and storage. Ensures data interoperability with other datasets. Collaboration with data professionals: Experience collaborating with other data professionals to improve modelling and integration standards and patterns. Interpretation of requirements: Ability to interpret data visualisation requirements and create meaningful, visually appealing representations tailored to the audience. Proficiency in visualisation tools: Experience with tools such as Tableau, Power BI, and Python libraries like Matplotlib and Seaborn. Knowledge of selecting appropriate visualisation types. Application of visualisation standards: Application of design principles to create clear, accurate, and accessible visualisations. Awareness of accessibility considerations. Mentorship in visualisation: Experience in reviewing and advising junior members to improve the quality and efficiency of data visualisations. Data quality assurance: Experience in implementing processes for data quality assessment and improvement, including data profiling, cleansing and standardisation. Data validation and linkage: Ability to perform data validation checks and integrate data from various sources to ensure consistency and accuracy. Data cleansing and preparation: Proficiency in defining data cleansing processes and preparing data for analysis by handling missing values, outliers and duplicates. Communication of data limitations: Skilled in articulating data constraints and limitations to stakeholders, providing context for informed decision making. Peer review and quality control: Experience in conducting peer reviews to validate data outputs, ensuring high standards of accuracy and reliability. Knowledge of statistical methodologies: Proficient in various statistical methods, such as hypothesis testing, regression analysis, clustering and time series analysis. Ability to select appropriate techniques based on project requirements. Data analysis and interpretation: Experience in using statistical software or programming languages to perform data analysis and generate insights. Skilled in communicating findings to technical and non technical stakeholders. Application of emerging theory: Willingness to explore and apply new statistical methodologies or practices to solve practical problems and adapt to emerging theories. Business Skills Stakeholder communication: Experience in effectively engaging with a diverse range of stakeholders, including technical and business individuals. Ability to manage expectations and facilitate productive discussions. Active and reactive communication: Proficiency in handling both proactive communication (updates, insights) and reactive communication (responding to inquiries, addressing concerns) to maintain a collaborative atmosphere. Interpretation of stakeholder needs: Ability to understand and translate stakeholder requirements into technical solutions. Experience in bridging the gap between technical and non technical stakeholders. Presentation and sharing of insights: Skilled in presenting complex data in a clear, understandable manner tailored to diverse audiences, including senior management. Problem solving approach: Ability to apply logical and creative thinking to resolve complex problems by breaking them down and generating innovative solutions. Decision making and action taking: Skilled in making informed decisions, prioritising tasks, and taking appropriate actions to resolve issues efficiently. Adaptability and learning orientation: Demonstrates adaptability in strategies and a commitment to continuous learning and improvement. Interpretation of stakeholder needs: Ability to understand and translate stakeholder requirements into technical solutions. Experience in bridging the gap between technical and non technical stakeholders. Presentation and sharing of insights: Skilled in presenting complex data in a clear, understandable manner tailored to diverse audiences, including senior management. Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to chat with each other. The Slack groups that have formed give an idea of the diversity within Made Tech. If you'd like to speak to someone from one of these groups about their experience as an employee, let your recruitment agent or Made Tech Talent Partner know. The groups are: antiracist-activists disability lgbtqiaplus-allies-and-activists neurodiversity parents-carers women-in-tech We are always listening to our growing teams and evolving the benefits available to our people. As we scale, so do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We're also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. Here are some of our most popular benefits listed below: 30 days Holiday - we offer 30 days of paid annual leave. Flexible Parental Leave - we offer flexible parental leave options. Remote Working - we offer part time remote working for all our staff. Paid counselling - we offer paid counselling as well as financial and legal advice. An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility . click apply for full job details
Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.
24/06/2026
Full time
Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Note: The above information relates to a specific client requirement About the Team Our Advanced Technology Centre is a hub of innovation where we deliver high quality data and technology services to clients across both the public and private sectors. If you're looking for a dynamic role that offers hands on experience with modern data technologies and the chance to shape large scale data solutions, this position offers you the opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.
Description As a Senior Data Analyst at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data-led. You'll join our data team in its mission to get data knowledge and skills out of silos and embedded into delivery teams. You will provide advanced data modelling, predictive analytics, and data visualisation, allowing us to deliver more sophisticated and customised solutions to our clients. The role is very hands on and you'll support as a senior contributor role for a project, focusing on: Data analysis and reporting: Conducting in depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation: Producing BI dashboards using industry standard tools - Power BI, Tableau, Quicksight etc. Client interaction: Collaborating with clients to understand their needs, translating these into analytical solutions, and presenting findings in a clear, actionable manner. Mentoring junior analysts, leading data focused projects, and setting best practices in data analysis. Technical Skills Application of analytical techniques: Proficiency in applying various analytical methods such as statistical analysis, data mining, and qualitative analysis. Ability to select and apply appropriate techniques based on the context and research data. Synthesis of research data: Experience in synthesising research data to present actionable insights and solutions. Ability to articulate the impact of their analysis on decision making and problem solving. Engagement with sceptical colleagues: Effective communication and persuasion skills to engage and gain buy in from sceptical colleagues. Ability to foster collaboration and address concerns to ensure adherence to best practices. Advisory and critique skills: Capability to advise on the choice and application of analytical techniques and critique colleagues' findings to ensure high standards in data analysis. Understanding of data sources and storage: Knowledge of various data sources, data organisation, and storage practices. Commitment to maintaining data integrity and accessibility. Advocacy for data governance: Experience in advocating for data governance standards and influencing team adherence to data quality practices. Continuous improvement: Ability to communicate and implement continuous improvements in data management practices through documentation, training, and regular team engagement. Toolset management: Proficiency in defining and supporting common toolsets for data management, ensuring efficiency and seamless integration. Automation of data management: Experience in automating data management activities to streamline processes and increase accuracy. Compliance with data governance policies: Understanding and ensuring compliance with data governance policies, maintaining data security and ethical standards. Data modelling expertise: Proficient in conceptual, logical, and physical data modelling. Ability to adhere to data modelling standards and best practices. Data cleansing and standardisation: Experience in resolving data quality issues and ensuring data accuracy through cleansing and standardisation techniques. Use of data integration tools: Skilled in using ETL tools for data integration and storage. Ensures data interoperability with other datasets. Collaboration with data professionals: Experience collaborating with other data professionals to improve modelling and integration standards and patterns. Interpretation of requirements: Ability to interpret data visualisation requirements and create meaningful, visually appealing representations tailored to the audience. Proficiency in visualisation tools: Experience with tools such as Tableau, Power BI, and Python libraries like Matplotlib and Seaborn. Knowledge of selecting appropriate visualisation types. Application of visualisation standards: Application of design principles to create clear, accurate, and accessible visualisations. Awareness of accessibility considerations. Mentorship in visualisation: Experience in reviewing and advising junior members to improve the quality and efficiency of data visualisations. Data quality assurance: Experience in implementing processes for data quality assessment and improvement, including data profiling, cleansing and standardisation. Data validation and linkage: Ability to perform data validation checks and integrate data from various sources to ensure consistency and accuracy. Data cleansing and preparation: Proficiency in defining data cleansing processes and preparing data for analysis by handling missing values, outliers and duplicates. Communication of data limitations: Skilled in articulating data constraints and limitations to stakeholders, providing context for informed decision making. Peer review and quality control: Experience in conducting peer reviews to validate data outputs, ensuring high standards of accuracy and reliability. Knowledge of statistical methodologies: Proficient in various statistical methods, such as hypothesis testing, regression analysis, clustering and time series analysis. Ability to select appropriate techniques based on project requirements. Data analysis and interpretation: Experience in using statistical software or programming languages to perform data analysis and generate insights. Skilled in communicating findings to technical and non technical stakeholders. Application of emerging theory: Willingness to explore and apply new statistical methodologies or practices to solve practical problems and adapt to emerging theories. Business Skills Stakeholder communication: Experience in effectively engaging with a diverse range of stakeholders, including technical and business individuals. Ability to manage expectations and facilitate productive discussions. Active and reactive communication: Proficiency in handling both proactive communication (updates, insights) and reactive communication (responding to inquiries, addressing concerns) to maintain a collaborative atmosphere. Interpretation of stakeholder needs: Ability to understand and translate stakeholder requirements into technical solutions. Experience in bridging the gap between technical and non technical stakeholders. Presentation and sharing of insights: Skilled in presenting complex data in a clear, understandable manner tailored to diverse audiences, including senior management. Problem solving approach: Ability to apply logical and creative thinking to resolve complex problems by breaking them down and generating innovative solutions. Decision making and action taking: Skilled in making informed decisions, prioritising tasks, and taking appropriate actions to resolve issues efficiently. Adaptability and learning orientation: Demonstrates adaptability in strategies and a commitment to continuous learning and improvement. Interpretation of stakeholder needs: Ability to understand and translate stakeholder requirements into technical solutions. Experience in bridging the gap between technical and non technical stakeholders. Presentation and sharing of insights: Skilled in presenting complex data in a clear, understandable manner tailored to diverse audiences, including senior management. Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to chat with each other. The Slack groups that have formed give an idea of the diversity within Made Tech. If you'd like to speak to someone from one of these groups about their experience as an employee, let your recruitment agent or Made Tech Talent Partner know. The groups are: antiracist-activists disability lgbtqiaplus-allies-and-activists neurodiversity parents-carers women-in-tech We are always listening to our growing teams and evolving the benefits available to our people. As we scale, so do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We're also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. Here are some of our most popular benefits listed below: 30 days Holiday - we offer 30 days of paid annual leave. Flexible Parental Leave - we offer flexible parental leave options. Remote Working - we offer part time remote working for all our staff. Paid counselling - we offer paid counselling as well as financial and legal advice. An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility . click apply for full job details
24/06/2026
Full time
Description As a Senior Data Analyst at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data-led. You'll join our data team in its mission to get data knowledge and skills out of silos and embedded into delivery teams. You will provide advanced data modelling, predictive analytics, and data visualisation, allowing us to deliver more sophisticated and customised solutions to our clients. The role is very hands on and you'll support as a senior contributor role for a project, focusing on: Data analysis and reporting: Conducting in depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation: Producing BI dashboards using industry standard tools - Power BI, Tableau, Quicksight etc. Client interaction: Collaborating with clients to understand their needs, translating these into analytical solutions, and presenting findings in a clear, actionable manner. Mentoring junior analysts, leading data focused projects, and setting best practices in data analysis. Technical Skills Application of analytical techniques: Proficiency in applying various analytical methods such as statistical analysis, data mining, and qualitative analysis. Ability to select and apply appropriate techniques based on the context and research data. Synthesis of research data: Experience in synthesising research data to present actionable insights and solutions. Ability to articulate the impact of their analysis on decision making and problem solving. Engagement with sceptical colleagues: Effective communication and persuasion skills to engage and gain buy in from sceptical colleagues. Ability to foster collaboration and address concerns to ensure adherence to best practices. Advisory and critique skills: Capability to advise on the choice and application of analytical techniques and critique colleagues' findings to ensure high standards in data analysis. Understanding of data sources and storage: Knowledge of various data sources, data organisation, and storage practices. Commitment to maintaining data integrity and accessibility. Advocacy for data governance: Experience in advocating for data governance standards and influencing team adherence to data quality practices. Continuous improvement: Ability to communicate and implement continuous improvements in data management practices through documentation, training, and regular team engagement. Toolset management: Proficiency in defining and supporting common toolsets for data management, ensuring efficiency and seamless integration. Automation of data management: Experience in automating data management activities to streamline processes and increase accuracy. Compliance with data governance policies: Understanding and ensuring compliance with data governance policies, maintaining data security and ethical standards. Data modelling expertise: Proficient in conceptual, logical, and physical data modelling. Ability to adhere to data modelling standards and best practices. Data cleansing and standardisation: Experience in resolving data quality issues and ensuring data accuracy through cleansing and standardisation techniques. Use of data integration tools: Skilled in using ETL tools for data integration and storage. Ensures data interoperability with other datasets. Collaboration with data professionals: Experience collaborating with other data professionals to improve modelling and integration standards and patterns. Interpretation of requirements: Ability to interpret data visualisation requirements and create meaningful, visually appealing representations tailored to the audience. Proficiency in visualisation tools: Experience with tools such as Tableau, Power BI, and Python libraries like Matplotlib and Seaborn. Knowledge of selecting appropriate visualisation types. Application of visualisation standards: Application of design principles to create clear, accurate, and accessible visualisations. Awareness of accessibility considerations. Mentorship in visualisation: Experience in reviewing and advising junior members to improve the quality and efficiency of data visualisations. Data quality assurance: Experience in implementing processes for data quality assessment and improvement, including data profiling, cleansing and standardisation. Data validation and linkage: Ability to perform data validation checks and integrate data from various sources to ensure consistency and accuracy. Data cleansing and preparation: Proficiency in defining data cleansing processes and preparing data for analysis by handling missing values, outliers and duplicates. Communication of data limitations: Skilled in articulating data constraints and limitations to stakeholders, providing context for informed decision making. Peer review and quality control: Experience in conducting peer reviews to validate data outputs, ensuring high standards of accuracy and reliability. Knowledge of statistical methodologies: Proficient in various statistical methods, such as hypothesis testing, regression analysis, clustering and time series analysis. Ability to select appropriate techniques based on project requirements. Data analysis and interpretation: Experience in using statistical software or programming languages to perform data analysis and generate insights. Skilled in communicating findings to technical and non technical stakeholders. Application of emerging theory: Willingness to explore and apply new statistical methodologies or practices to solve practical problems and adapt to emerging theories. Business Skills Stakeholder communication: Experience in effectively engaging with a diverse range of stakeholders, including technical and business individuals. Ability to manage expectations and facilitate productive discussions. Active and reactive communication: Proficiency in handling both proactive communication (updates, insights) and reactive communication (responding to inquiries, addressing concerns) to maintain a collaborative atmosphere. Interpretation of stakeholder needs: Ability to understand and translate stakeholder requirements into technical solutions. Experience in bridging the gap between technical and non technical stakeholders. Presentation and sharing of insights: Skilled in presenting complex data in a clear, understandable manner tailored to diverse audiences, including senior management. Problem solving approach: Ability to apply logical and creative thinking to resolve complex problems by breaking them down and generating innovative solutions. Decision making and action taking: Skilled in making informed decisions, prioritising tasks, and taking appropriate actions to resolve issues efficiently. Adaptability and learning orientation: Demonstrates adaptability in strategies and a commitment to continuous learning and improvement. Interpretation of stakeholder needs: Ability to understand and translate stakeholder requirements into technical solutions. Experience in bridging the gap between technical and non technical stakeholders. Presentation and sharing of insights: Skilled in presenting complex data in a clear, understandable manner tailored to diverse audiences, including senior management. Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to chat with each other. The Slack groups that have formed give an idea of the diversity within Made Tech. If you'd like to speak to someone from one of these groups about their experience as an employee, let your recruitment agent or Made Tech Talent Partner know. The groups are: antiracist-activists disability lgbtqiaplus-allies-and-activists neurodiversity parents-carers women-in-tech We are always listening to our growing teams and evolving the benefits available to our people. As we scale, so do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We're also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. Here are some of our most popular benefits listed below: 30 days Holiday - we offer 30 days of paid annual leave. Flexible Parental Leave - we offer flexible parental leave options. Remote Working - we offer part time remote working for all our staff. Paid counselling - we offer paid counselling as well as financial and legal advice. An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility . click apply for full job details
About UBDS UBDS Group empowers organizations to achieve remarkable digital transformations through innovative technology solutions. We work with clients across the public and private sector to design and build products, platforms and services that genuinely make a difference to users. We're looking for a Senior Data Engineer who combines deep technical capability with a strong consulting mindset. Someone who enjoys ambiguity, cares about users, and can turn messy business problems into robust, production-grade data solutions. The Role As a Senior Data Engineer at UBDS, you'll work closely with clients, designers, analysts and engineers to shape and deliver modern data solutions end to end. You'll be trusted to lead technical thinking, make pragmatic design decisions, and support teams in delivering high quality outcomes that stand up in the real world. This is a hands on role with influence: you'll be building, guiding others, and helping clients understand what good looks like. What You'll Do Turn ambiguous business problems into clear data, analytical and technical solutions. Design, build and operate production grade data pipelines, models and products using SQL, Python and modern data engineering frameworks. Architect and work across data warehouses, lakehouse and event driven patterns, including strong semantic models for analytics and visualisation. Deliver solutions on cloud data and AI platforms (AWS/Azure), applying solid software engineering, testing and CI/CD practices. Embed analytics, experimentation, AI/ML integration, governance, security and data quality best practices by default. Create clear data visualisations, narratives and consultant grade materials that help clients understand and act on insight. Work closely with users and stakeholders in Agile, client driven environments, learning from live services and real world feedback. Apply strong critical thinking, attention to detail and relevant industry and government standards to deliver solutions that are easy to hand over, maintain and evolve. What We're Looking For Core Data & Technical Skills Ability to translate ambiguous business problems into clear data, analytical and technical requirements. Strong SQL and Python skills for data modelling, transformation, automation and analysis. Experience designing data models and architectures across data warehouses, lakehouse and event driven patterns, or strong semantic modelling in Power BI or other visualisation tools. Hands on experience with modern data engineering frameworks such as Spark / PySpark, Pandas and orchestration tools. Experience working with cloud data and AI platforms on AWS or Azure (e.g. Databricks, Redshift, Bedrock, Microsoft Fabric). Solid software engineering fundamentals, including Git, testing and QA, CI/CD pipelines and modular, maintainable design. Strong analytics and statistical reasoning, including metric design, experimentation and interpretation of results. Practical AI/ML literacy, including integrating model APIs, evaluation approaches and prompt orchestration. Experience applying data governance, security and quality best practices, such as access control, data catalogues, lineage and GDPR awareness. Ability to communicate insight through data visualisation and storytelling using tools like Power BI, Tableau or Python based charts. Consulting & Delivery Mindset A user centred approach: curiosity about who will use the solution, why it matters, and the impact it will have. Confidence communicating clearly and working effectively in ambiguous, client driven environments. Ability to produce high quality, consultant grade slides and written materials. Strong critical thinking, with a clear and logical approach to defining and delivering data solutions. Proven experience delivering production grade solutions to real users, supporting live services and learning from real world feedback. High attention to detail, including readable code, consistent naming conventions and clear technical and user documentation. A product driven mindset, with experience delivering features and outcomes iteratively in Agile teams. Familiarity with relevant industry and government standards, and a habit of seeking out appropriate standards at the start of delivery rather than reinventing solutions. Employee Benefits Training - All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies. We want you to grow with us and to help us achieve more. Private medical cover for you and your spouse/partner, offered via Vitality. Discretionary bonus based on a blend of personal and company performance. Holiday - You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays. Electric Vehicle leasing with salary sacrifice. Contributed Pension Scheme. Death in service cover. Equal Opportunities We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
23/06/2026
Full time
About UBDS UBDS Group empowers organizations to achieve remarkable digital transformations through innovative technology solutions. We work with clients across the public and private sector to design and build products, platforms and services that genuinely make a difference to users. We're looking for a Senior Data Engineer who combines deep technical capability with a strong consulting mindset. Someone who enjoys ambiguity, cares about users, and can turn messy business problems into robust, production-grade data solutions. The Role As a Senior Data Engineer at UBDS, you'll work closely with clients, designers, analysts and engineers to shape and deliver modern data solutions end to end. You'll be trusted to lead technical thinking, make pragmatic design decisions, and support teams in delivering high quality outcomes that stand up in the real world. This is a hands on role with influence: you'll be building, guiding others, and helping clients understand what good looks like. What You'll Do Turn ambiguous business problems into clear data, analytical and technical solutions. Design, build and operate production grade data pipelines, models and products using SQL, Python and modern data engineering frameworks. Architect and work across data warehouses, lakehouse and event driven patterns, including strong semantic models for analytics and visualisation. Deliver solutions on cloud data and AI platforms (AWS/Azure), applying solid software engineering, testing and CI/CD practices. Embed analytics, experimentation, AI/ML integration, governance, security and data quality best practices by default. Create clear data visualisations, narratives and consultant grade materials that help clients understand and act on insight. Work closely with users and stakeholders in Agile, client driven environments, learning from live services and real world feedback. Apply strong critical thinking, attention to detail and relevant industry and government standards to deliver solutions that are easy to hand over, maintain and evolve. What We're Looking For Core Data & Technical Skills Ability to translate ambiguous business problems into clear data, analytical and technical requirements. Strong SQL and Python skills for data modelling, transformation, automation and analysis. Experience designing data models and architectures across data warehouses, lakehouse and event driven patterns, or strong semantic modelling in Power BI or other visualisation tools. Hands on experience with modern data engineering frameworks such as Spark / PySpark, Pandas and orchestration tools. Experience working with cloud data and AI platforms on AWS or Azure (e.g. Databricks, Redshift, Bedrock, Microsoft Fabric). Solid software engineering fundamentals, including Git, testing and QA, CI/CD pipelines and modular, maintainable design. Strong analytics and statistical reasoning, including metric design, experimentation and interpretation of results. Practical AI/ML literacy, including integrating model APIs, evaluation approaches and prompt orchestration. Experience applying data governance, security and quality best practices, such as access control, data catalogues, lineage and GDPR awareness. Ability to communicate insight through data visualisation and storytelling using tools like Power BI, Tableau or Python based charts. Consulting & Delivery Mindset A user centred approach: curiosity about who will use the solution, why it matters, and the impact it will have. Confidence communicating clearly and working effectively in ambiguous, client driven environments. Ability to produce high quality, consultant grade slides and written materials. Strong critical thinking, with a clear and logical approach to defining and delivering data solutions. Proven experience delivering production grade solutions to real users, supporting live services and learning from real world feedback. High attention to detail, including readable code, consistent naming conventions and clear technical and user documentation. A product driven mindset, with experience delivering features and outcomes iteratively in Agile teams. Familiarity with relevant industry and government standards, and a habit of seeking out appropriate standards at the start of delivery rather than reinventing solutions. Employee Benefits Training - All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies. We want you to grow with us and to help us achieve more. Private medical cover for you and your spouse/partner, offered via Vitality. Discretionary bonus based on a blend of personal and company performance. Holiday - You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays. Electric Vehicle leasing with salary sacrifice. Contributed Pension Scheme. Death in service cover. Equal Opportunities We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
Engineering Manager - Data and Analytics, Network Flow and Technologies Job ID: Amazon UK Services Ltd. Are you a hands on leader passionate about automation, logistics and solving complex problems at vast scale? Join our mission to build foundational systems that shape the future of Amazon's global fulfillment network. Key job responsibilities Lead and manage a team of junior and mid level business intelligence engineers, data engineers and software development engineers Establish team business practices, roles and responsibilities, and professional development opportunities Build and maintain the data infrastructure to answer business questions with data using data engineering best practices Define the data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, cost, and storage requirements Collaborate with Data Engineers, Business Intelligence Engineers, Data Scientists, Business Analysts, and Product/Program Managers to understand the business and technical requirements, and make decisions that help make the products/programs smoother Interface with other technology/data engineering teams to extract, transform, and load data from a wide variety of data sources using AWS data technologies Lead the technical design and implementation of the data infrastructure Design and manage data audit, quality, and reconciliation processes in collaboration with various stakeholders A day in the life To be successful in the role, you need strong team management, communication and analytical skills, alongside the ability to manage stakeholders' expectations to deliver the strategic plan with your team. You will work in a collaborative and empowering work environment where cross functional teamwork drives success, and your expertise in data driven innovation is highly valued. You'll have the autonomy to lead initiatives, the support to grow professionally, and the opportunity to make a meaningful impact by delivering actionable insights that shape key business decisions. About the team The Network Flow and Technologies (NFT) team is responsible for building data solutions that drive operational efficiency and enhance the Amazon customer experience. We work across the supply chain to optimize for the network, while minimizing complexity and reducing variation to ensure streamlined operations and consistent outcomes. By providing comprehensive reporting, insightful attribution, and accurate forecasting, we empower our stakeholders to understand what happened, why it happened, and what will happen next. We own the results, not just the technology. We rigorously audit outputs with metrics and experiments, ensuring accuracy and holding dependencies accountable for input quality. Basic Qualifications Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures and hands on SQL coding Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software Experience working directly with business stakeholders to translate between data and business needs Experience leading and influencing the BI strategy of your team or organization Experience working with very large data warehousing environment Experience managing a data or BI team Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live site operations Preferred Qualifications Experience managing, analyzing and communicating results to senior leadership Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We value a diverse workforce and provide accommodations for candidates with disabilities throughout the hiring process. Please refer to Amazon's privacy notice for information about how we collect, use, and transfer the personal data of our candidates.
22/06/2026
Full time
Engineering Manager - Data and Analytics, Network Flow and Technologies Job ID: Amazon UK Services Ltd. Are you a hands on leader passionate about automation, logistics and solving complex problems at vast scale? Join our mission to build foundational systems that shape the future of Amazon's global fulfillment network. Key job responsibilities Lead and manage a team of junior and mid level business intelligence engineers, data engineers and software development engineers Establish team business practices, roles and responsibilities, and professional development opportunities Build and maintain the data infrastructure to answer business questions with data using data engineering best practices Define the data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, cost, and storage requirements Collaborate with Data Engineers, Business Intelligence Engineers, Data Scientists, Business Analysts, and Product/Program Managers to understand the business and technical requirements, and make decisions that help make the products/programs smoother Interface with other technology/data engineering teams to extract, transform, and load data from a wide variety of data sources using AWS data technologies Lead the technical design and implementation of the data infrastructure Design and manage data audit, quality, and reconciliation processes in collaboration with various stakeholders A day in the life To be successful in the role, you need strong team management, communication and analytical skills, alongside the ability to manage stakeholders' expectations to deliver the strategic plan with your team. You will work in a collaborative and empowering work environment where cross functional teamwork drives success, and your expertise in data driven innovation is highly valued. You'll have the autonomy to lead initiatives, the support to grow professionally, and the opportunity to make a meaningful impact by delivering actionable insights that shape key business decisions. About the team The Network Flow and Technologies (NFT) team is responsible for building data solutions that drive operational efficiency and enhance the Amazon customer experience. We work across the supply chain to optimize for the network, while minimizing complexity and reducing variation to ensure streamlined operations and consistent outcomes. By providing comprehensive reporting, insightful attribution, and accurate forecasting, we empower our stakeholders to understand what happened, why it happened, and what will happen next. We own the results, not just the technology. We rigorously audit outputs with metrics and experiments, ensuring accuracy and holding dependencies accountable for input quality. Basic Qualifications Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures and hands on SQL coding Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software Experience working directly with business stakeholders to translate between data and business needs Experience leading and influencing the BI strategy of your team or organization Experience working with very large data warehousing environment Experience managing a data or BI team Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live site operations Preferred Qualifications Experience managing, analyzing and communicating results to senior leadership Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We value a diverse workforce and provide accommodations for candidates with disabilities throughout the hiring process. Please refer to Amazon's privacy notice for information about how we collect, use, and transfer the personal data of our candidates.
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity At Relay, we rely on data to guide how every parcel moves through our network - from when it enters the system to when it's delivered at the doorstep. Our data infrastructure is the backbone that powers everything from real-time operational decisions to strategic business insights to networks of autonomous AI agents. We're looking for a Senior Analytics Engineer to sit within our Last Mile squad; our biggest and most data rich squad. Your role will help contribute to the success of the key agentic workflows that power our Last Mile marketplace. You'll be joining at an exciting moment as we grow rapidly and expand our network across the UK. Who Will Thrive in this role? Design core data models - Partner with engineers and business leaders within the Last Mile squad to design and build foundational data models that power analytics, data science and AI workflows Build the foundations for our key AI systems - Our Last Mile marketplace is becoming increasingly agentic, you will be a key owner of the inputs that power these systems Drive data quality - Implement testing, monitoring, and alerting to ensure our data is accurate, timely, and trustworthy Collaborate - Work with team members across the business to understand their data needs and deliver solutions Shape our practices - Help define and evolve our analytics engineering processes and standards as we scale What We're Looking For 5+ years of experience as an analytics engineer, data engineer, data analyst or similar role Extensive experience with SQL, particularly with BigQuery and PostgreSQL Demonstrated experience with dbt, with a track record of building and maintaining efficient, scalable, and reliable DAGs Python proficiency for data manipulation, scripting, and automation Experience with data visualisation tools such as Tableau, Looker, or similar Experience in effective communication, particularly in gathering requirements and guiding non-technical stakeholders to the right data solutions Familiarity with using AI tools to accelerate your workflow Nice to Have Experience with orchestration tools like Dagster, Airflow, or similar Experience building real-time or near-real-time data pipelines Familiarity with machine learning workflows and feature engineering Experience embedded in teams building customer facing products Previous experience of learning and modelling an unfamiliar operational domain A desire to see the real world impact of what you work on! Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
22/06/2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity At Relay, we rely on data to guide how every parcel moves through our network - from when it enters the system to when it's delivered at the doorstep. Our data infrastructure is the backbone that powers everything from real-time operational decisions to strategic business insights to networks of autonomous AI agents. We're looking for a Senior Analytics Engineer to sit within our Last Mile squad; our biggest and most data rich squad. Your role will help contribute to the success of the key agentic workflows that power our Last Mile marketplace. You'll be joining at an exciting moment as we grow rapidly and expand our network across the UK. Who Will Thrive in this role? Design core data models - Partner with engineers and business leaders within the Last Mile squad to design and build foundational data models that power analytics, data science and AI workflows Build the foundations for our key AI systems - Our Last Mile marketplace is becoming increasingly agentic, you will be a key owner of the inputs that power these systems Drive data quality - Implement testing, monitoring, and alerting to ensure our data is accurate, timely, and trustworthy Collaborate - Work with team members across the business to understand their data needs and deliver solutions Shape our practices - Help define and evolve our analytics engineering processes and standards as we scale What We're Looking For 5+ years of experience as an analytics engineer, data engineer, data analyst or similar role Extensive experience with SQL, particularly with BigQuery and PostgreSQL Demonstrated experience with dbt, with a track record of building and maintaining efficient, scalable, and reliable DAGs Python proficiency for data manipulation, scripting, and automation Experience with data visualisation tools such as Tableau, Looker, or similar Experience in effective communication, particularly in gathering requirements and guiding non-technical stakeholders to the right data solutions Familiarity with using AI tools to accelerate your workflow Nice to Have Experience with orchestration tools like Dagster, Airflow, or similar Experience building real-time or near-real-time data pipelines Familiarity with machine learning workflows and feature engineering Experience embedded in teams building customer facing products Previous experience of learning and modelling an unfamiliar operational domain A desire to see the real world impact of what you work on! Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Introduction In just 10 years, Octopus Energy has evolved from a disruptive challenger into the UK's largest energy retailer and a well loved brand, serving more than 8 million customers. Our rapid expansion has been powered by consistently strong growth across diverse sales channels, the smooth integration of retailer acquisitions, and impressive customer retention. We continue to lead and redefine the energy market through innovative time of use tariffs and data driven commercial strategies that transform how customers engage with energy. We empower customers with dynamic pricing and Intelligent EV charging, rewarding them for shifting consumption to greener, cheaper periods. Role Summary You will be the leading analyst in the GB Commercial Analytics "pod", delivering pricing operations, commercial reporting, and growth insight to drive sales and retention, margin, compliance, and customer satisfaction. You will act as a strategic business partner to Commercial, Sales, Marketing and Energy Markets teams, combining hands on technical expertise with strong team leadership. What you'll do Own end to end pricing operations for domestic tariffs, including launches, quarterly price changes, margin reporting and intelligence, and ensuring regulatory/price cap compliance for millions of customers. Drive pricing strategy and optimisation through competitor intelligence, market analysis, and data driven recommendations to the Senior Leadership Team. Own and evolve commercial reporting pipelines across customer switching, sales activity from all channels, marketing campaigns, retention and competitor insight. Deliver growth and customer insight, including key metric reporting, funnel analysis, customer forecasting, and retention initiatives. Set priorities, coordinate and review the work of a small, high performance team of data analysts. Partner with Commercial, Sales, Marketing, Energy Markets, Flexibility, Gross Margin and Strategic Finance teams to provide customer forecasting inputs, KPI reporting, margin analysis and strategic support. Contribute to and collaborate with our global working groups to ensure aligned reporting and shared analytics projects. Champion data best practices and continuous improvement in analytics engineering, tools and automated processes. What you'll have Hands on expertise with modern data platforms and analytical tools (especially SQL and python). Strong commercial acumen, preferably in pricing, margin optimisation, and/or growth analytics. Proven experience mentoring and developing data professionals. Strong communication skills to influence non technical stakeholders and senior leadership. A track record of delivering actionable insights that drive measurable business impact. Our Data Platform Stack Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment CI/CD with GitHub and CircleCI Infrastructure on AWS, deployed with Terraform / Spacelift Contact us with any questions at . As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone. If you require any specific accommodations or have any preferences, let us know, and we will do what we can to customise your interview process for your comfort.
21/06/2026
Full time
Introduction In just 10 years, Octopus Energy has evolved from a disruptive challenger into the UK's largest energy retailer and a well loved brand, serving more than 8 million customers. Our rapid expansion has been powered by consistently strong growth across diverse sales channels, the smooth integration of retailer acquisitions, and impressive customer retention. We continue to lead and redefine the energy market through innovative time of use tariffs and data driven commercial strategies that transform how customers engage with energy. We empower customers with dynamic pricing and Intelligent EV charging, rewarding them for shifting consumption to greener, cheaper periods. Role Summary You will be the leading analyst in the GB Commercial Analytics "pod", delivering pricing operations, commercial reporting, and growth insight to drive sales and retention, margin, compliance, and customer satisfaction. You will act as a strategic business partner to Commercial, Sales, Marketing and Energy Markets teams, combining hands on technical expertise with strong team leadership. What you'll do Own end to end pricing operations for domestic tariffs, including launches, quarterly price changes, margin reporting and intelligence, and ensuring regulatory/price cap compliance for millions of customers. Drive pricing strategy and optimisation through competitor intelligence, market analysis, and data driven recommendations to the Senior Leadership Team. Own and evolve commercial reporting pipelines across customer switching, sales activity from all channels, marketing campaigns, retention and competitor insight. Deliver growth and customer insight, including key metric reporting, funnel analysis, customer forecasting, and retention initiatives. Set priorities, coordinate and review the work of a small, high performance team of data analysts. Partner with Commercial, Sales, Marketing, Energy Markets, Flexibility, Gross Margin and Strategic Finance teams to provide customer forecasting inputs, KPI reporting, margin analysis and strategic support. Contribute to and collaborate with our global working groups to ensure aligned reporting and shared analytics projects. Champion data best practices and continuous improvement in analytics engineering, tools and automated processes. What you'll have Hands on expertise with modern data platforms and analytical tools (especially SQL and python). Strong commercial acumen, preferably in pricing, margin optimisation, and/or growth analytics. Proven experience mentoring and developing data professionals. Strong communication skills to influence non technical stakeholders and senior leadership. A track record of delivering actionable insights that drive measurable business impact. Our Data Platform Stack Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment CI/CD with GitHub and CircleCI Infrastructure on AWS, deployed with Terraform / Spacelift Contact us with any questions at . As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone. If you require any specific accommodations or have any preferences, let us know, and we will do what we can to customise your interview process for your comfort.
Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.
21/06/2026
Full time
Data Engineer Role: Data Engineer Location: Newcastle Upon Tyne Salary: TBC - Depending on experience Levels: Senior Analyst, Specialist Hybrid Working: 3 days per week in our Newcastle, Cobalt business park office Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) and declaration of being a British or EU passport holder or hold Indefinite Leave to remain within the UK at the point of application. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You'll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud based architectures that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data quality, lineage, governance, and security controls are applied consistently. DevOps & Deployment Deploy and maintain data applications using CI/CD tooling (Azure DevOps, GitHub Actions, Jenkins). Use Infrastructure as Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well structured datasets. Participate in code reviews and internal knowledge sharing sessions. Provide guidance to junior engineers where needed. Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins etc.). Infrastructure as Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years' experience working on data engineering or large scale data solutions. Comfortable working in Agile delivery teams. Strong communication skills and ability to collaborate with technical and non technical stakeholders. Desirable Experience in client facing or consulting environments. Professional cloud or data engineering certifications. Experience mentoring or supporting junior engineers. Background in designing or operating real time, low latency systems.
The starting salary for this role is 42,958 per annum, based on a 36-hour working week. This role is a fixed term contract / secondment opportunity until 31st March 2027. We have an exciting opportunity for a Performance Data Analyst to join our Performance and Analytics Team within Adults, Wellbeing, and Health Partnerships (AWHP). This role will be hybrid which means a blend of working from home, Surrey offices and predominantly from a warehouse located between Guildford and Woking. This role is officially based at Millmead House in Guildford but will also require travel to locations that are not easily accessible by public transport, therefore the successful applicant will need to have their own method of transport. There is an expectation for the post holder to work from the office at least one day per week. Our Offer to You 26 days' holiday, rising to 28 days after 2 years' service and 31 days after 5 years' service (pro rata for part time staff) Option to buy up to 10 days of additional annual leave A generous local government salary related pension Up to 5 days of carer's leave and 2 paid volunteering days per year Paternity, adoption and dependents leave An Employee Assistance Programme (EAP) to support health and wellbeing. Learning and development hub where you can access a wealth of resources. Wellbeing and lifestyle discounts including gym, travel, and shopping. A chance to make a real difference to the lives of our residents. About the Role We are looking for a highly motivated and conscientious individual to join our dynamic and friendly Performance and Analytics team as a Performance Data Analyst. The key focus of this post will be to support Surrey's Community Equipment Service (CES) Team with critical analytics and insights to support the smooth, safe and efficient running and development of the service. This is an exciting opportunity to apply and develop your skills in data analytics, stakeholder collaboration and commercial awareness within Local Government and the Adults, Wellbeing and Health Partnerships (AWHP) Directorate. The key aspects of this role are: Empowering teams within sights: Your role will be crucial in providing actionable insights to Commissioners and Contract Managers, enabling them to understand trends, measure outcomes, and implement best practices. By translating complex data into clear, impactful information, you will support them in delivering a more effective equipment service, ultimately improving the lives of our residents. Driving informed decision making: Your work will directly influence the strategic decisions that enhance the quality of services provided. By analysing and presenting data on service performance, your recommendations and insights will help identify areas for improvement, ensuring that Surrey's equipment offer is continuously optimised to meet the needs of our most vulnerable residents. Enhancing efficiency and resource allocation: Through robust data analysis, you will support the streamlining of operations and ensure resources are targeted where they are needed most. This will enable more efficient use of time and funding, allowing greater investment in service improvements. Devolution & Local Government Reorganisation: As a subject matter expert, your insight will be crucial in supporting Surrey's preparations for Devolution and Local Government Reorganisation. You will provide essential data and analytics, as well as making informed recommendations to support decision-making. Your Application To be considered for shortlisting your application will clearly evidence the following skills and align with our behaviours: Strong analytical skills: Proven ability to analyse complex data sets, identify trends, and draw actionable insights. Experience with data visualisation tools and statistical analysis software is essential. Technical proficiency: Proficiency in data visualisation software Tableau, knowledge of programming languages such as SQL, Python, or R, and familiarity with big data technologies. Experience with Tableau Software is critical and Tableau Skills will be assessed as part of the recruitment process through a test on the day of the interview. Attention to detail and accuracy: Strong attention to detail with a commitment to accuracy and quality in data analysis. Ability to meticulously check data integrity and ensure that all analysis is based on reliable and precise data. Creative problem-solving ability: Ability to develop innovative solutions to data-related challenges. Ability to think outside the box and approach problems from multiple angles to find effective and unique solutions. Initiative: Ability to progress multiple ongoing projects, manage competing deadlines, and take ownership of and prioritise own workload. Use of initiative to work with stakeholders to resolve and/or escalate blockers to facilitate project completion. Communication and collaboration: Excellent communication skills to effectively present findings and recommendations to both technical and non-technical stakeholders. Experience working in cross-functional teams and collaborating with diverse groups. Proven track record of developing strong professional relationships with internal and external stakeholders and collaborating effectively to identify analytics requirements, resolve data issues, and progress projects through to completion. To apply, we request that you submit a CV and you will be asked the following 4 questions (maximum of (Apply online only) words each): Adult Social Care data often comes from multiple sources with varying levels of completeness and accuracy, and some datasets are very large and complex. How would you assess, clean, and validate data before using it for analysis? Please describe a time when you analysed data and identified a trend or issue that supported strategic decision-making at a senior level. What approach did you take and what was the impact? This role involves working closely with commissioners, finance colleagues, and operational managers who may have different levels of data literacy. How would you adapt your communication style to engage, influence, and build trust with these stakeholders? Please give an example of a time when you developed a new approach, tool, or method that improved the way data was processed, analysed, visualised, or used for decision-making. How did this benefit your team or organisation? Before submitting your application, we recommend you read the job description and our Life at Surrey handbook to get an insight into working at Surrey. The job advert closes at 23:59 on 05/07/2026 with face-to-face interviews planned to follow. We look forward to receiving your application, please click on the apply online button below to submit. Local Government Reorganisation (LGR) Surrey County Council is undergoing Local Government Reorganisation, moving from a two-tier system to two new unitary councils in April 2027. If you are employed by Surrey on 1st April 2027, your role will transfer with current terms and conditions to one of the new organisations, supporting local devolution and greater powers for our communities. Join our dynamic team and shape the future of local government. Make a lasting impact with innovative solutions and improved services for our community. Help us build a brighter future for our residents! Please see more information on our website. Our Commitment We are a disability confident employer which means if you have shared a disability on your application form and have evidenced you meet the minimum criteria, we guarantee you an interview. Your skills and experience truly matter to us. From application to your first day, we're committed to supporting you with any adjustments you need, we value inclusion and warmly welcome you to join and help build a workplace where everyone belongs.
19/06/2026
Contractor
The starting salary for this role is 42,958 per annum, based on a 36-hour working week. This role is a fixed term contract / secondment opportunity until 31st March 2027. We have an exciting opportunity for a Performance Data Analyst to join our Performance and Analytics Team within Adults, Wellbeing, and Health Partnerships (AWHP). This role will be hybrid which means a blend of working from home, Surrey offices and predominantly from a warehouse located between Guildford and Woking. This role is officially based at Millmead House in Guildford but will also require travel to locations that are not easily accessible by public transport, therefore the successful applicant will need to have their own method of transport. There is an expectation for the post holder to work from the office at least one day per week. Our Offer to You 26 days' holiday, rising to 28 days after 2 years' service and 31 days after 5 years' service (pro rata for part time staff) Option to buy up to 10 days of additional annual leave A generous local government salary related pension Up to 5 days of carer's leave and 2 paid volunteering days per year Paternity, adoption and dependents leave An Employee Assistance Programme (EAP) to support health and wellbeing. Learning and development hub where you can access a wealth of resources. Wellbeing and lifestyle discounts including gym, travel, and shopping. A chance to make a real difference to the lives of our residents. About the Role We are looking for a highly motivated and conscientious individual to join our dynamic and friendly Performance and Analytics team as a Performance Data Analyst. The key focus of this post will be to support Surrey's Community Equipment Service (CES) Team with critical analytics and insights to support the smooth, safe and efficient running and development of the service. This is an exciting opportunity to apply and develop your skills in data analytics, stakeholder collaboration and commercial awareness within Local Government and the Adults, Wellbeing and Health Partnerships (AWHP) Directorate. The key aspects of this role are: Empowering teams within sights: Your role will be crucial in providing actionable insights to Commissioners and Contract Managers, enabling them to understand trends, measure outcomes, and implement best practices. By translating complex data into clear, impactful information, you will support them in delivering a more effective equipment service, ultimately improving the lives of our residents. Driving informed decision making: Your work will directly influence the strategic decisions that enhance the quality of services provided. By analysing and presenting data on service performance, your recommendations and insights will help identify areas for improvement, ensuring that Surrey's equipment offer is continuously optimised to meet the needs of our most vulnerable residents. Enhancing efficiency and resource allocation: Through robust data analysis, you will support the streamlining of operations and ensure resources are targeted where they are needed most. This will enable more efficient use of time and funding, allowing greater investment in service improvements. Devolution & Local Government Reorganisation: As a subject matter expert, your insight will be crucial in supporting Surrey's preparations for Devolution and Local Government Reorganisation. You will provide essential data and analytics, as well as making informed recommendations to support decision-making. Your Application To be considered for shortlisting your application will clearly evidence the following skills and align with our behaviours: Strong analytical skills: Proven ability to analyse complex data sets, identify trends, and draw actionable insights. Experience with data visualisation tools and statistical analysis software is essential. Technical proficiency: Proficiency in data visualisation software Tableau, knowledge of programming languages such as SQL, Python, or R, and familiarity with big data technologies. Experience with Tableau Software is critical and Tableau Skills will be assessed as part of the recruitment process through a test on the day of the interview. Attention to detail and accuracy: Strong attention to detail with a commitment to accuracy and quality in data analysis. Ability to meticulously check data integrity and ensure that all analysis is based on reliable and precise data. Creative problem-solving ability: Ability to develop innovative solutions to data-related challenges. Ability to think outside the box and approach problems from multiple angles to find effective and unique solutions. Initiative: Ability to progress multiple ongoing projects, manage competing deadlines, and take ownership of and prioritise own workload. Use of initiative to work with stakeholders to resolve and/or escalate blockers to facilitate project completion. Communication and collaboration: Excellent communication skills to effectively present findings and recommendations to both technical and non-technical stakeholders. Experience working in cross-functional teams and collaborating with diverse groups. Proven track record of developing strong professional relationships with internal and external stakeholders and collaborating effectively to identify analytics requirements, resolve data issues, and progress projects through to completion. To apply, we request that you submit a CV and you will be asked the following 4 questions (maximum of (Apply online only) words each): Adult Social Care data often comes from multiple sources with varying levels of completeness and accuracy, and some datasets are very large and complex. How would you assess, clean, and validate data before using it for analysis? Please describe a time when you analysed data and identified a trend or issue that supported strategic decision-making at a senior level. What approach did you take and what was the impact? This role involves working closely with commissioners, finance colleagues, and operational managers who may have different levels of data literacy. How would you adapt your communication style to engage, influence, and build trust with these stakeholders? Please give an example of a time when you developed a new approach, tool, or method that improved the way data was processed, analysed, visualised, or used for decision-making. How did this benefit your team or organisation? Before submitting your application, we recommend you read the job description and our Life at Surrey handbook to get an insight into working at Surrey. The job advert closes at 23:59 on 05/07/2026 with face-to-face interviews planned to follow. We look forward to receiving your application, please click on the apply online button below to submit. Local Government Reorganisation (LGR) Surrey County Council is undergoing Local Government Reorganisation, moving from a two-tier system to two new unitary councils in April 2027. If you are employed by Surrey on 1st April 2027, your role will transfer with current terms and conditions to one of the new organisations, supporting local devolution and greater powers for our communities. Join our dynamic team and shape the future of local government. Make a lasting impact with innovative solutions and improved services for our community. Help us build a brighter future for our residents! Please see more information on our website. Our Commitment We are a disability confident employer which means if you have shared a disability on your application form and have evidenced you meet the minimum criteria, we guarantee you an interview. Your skills and experience truly matter to us. From application to your first day, we're committed to supporting you with any adjustments you need, we value inclusion and warmly welcome you to join and help build a workplace where everyone belongs.
The options provided in this section allow you to customise your consent preferences for any tracking technology used for the purposes described below. To learn more about how these trackers help us and how they work, refer to the . Please be aware that denying consent for a particular purpose may make related features unavailable.Always ActiveThese trackers are used for activities that are strictly necessary to operate or deliver the service you requested from us and, therefore, do not require you to consent.These trackers help us to deliver personalised ads or marketing content to you, and to measure their performance.# Senior Product AnalystLondon Who we are: AlphaSights is the leading global knowledge platform. Our sophisticated technology platform enables our clients, our people, and our experts to connect, collaborate, and transfer globally distributed knowledge faster than ever before. Professionals at investment firms, consultancies, corporations and nonprofits rely on us to connect them seamlessly with knowledgeable domain experts who help enhance their thinking, inform critical decisions and propel their business forward. Founded in 2008, AlphaSights currently employs more than 1,500 professionals in nine offices around the globe and regularly ranks as one of the fastest-growing companies in the world. The role: As a Senior Product Analyst at AlphaSights' Technology & Strategy team, you'll drive growth from day one by optimizing our technology investments. Teaming up with a Group Product Manager, you'll report on product usage and unveil insights to guide product development. We value bright minds over titles, empowering you with the autonomy to solve complex problems and continuously strive for excellence in your product area. This role is a unique opportunity for proactive problem-solvers who crave impact, thrive in dynamic teams, and relish diverse challenges in a disruptive, fast-growing industry. We seek hardworking, motivated individuals eager to apply their analytical skills to boost business growth. What you'll do: Data-informed insight generation : Leverage internal and external analytics tools to analyze user behavior and develop structured insights that shape our product roadmap. Adoption monitoring & reporting : Create compelling dashboards and presentations that highlight user adoption trends and impact measurements. Product discovery support : Collaborate with product managers to identify user problems and commercial opportunities through analytics and user interviews. End-to-end metric definition : Work with software engineering teams to plan database structures for new products, ensuring crucial user actions are tracked effectively. Impact goal setting: Define, measure, and monitor key performance indicators (KPIs) to ensure our products drive meaningful business outcomes. Who you are: High-achieving professional with 2+ years of analytical experience with a successful track record. Analytical problem solver : You thrive in data-rich environments and love using your technical skills to solve problems. Autonomous: You quickly take ownership of your work and always look for ways to improve current processes and techniques. Proactive and relentless : Your deep passion for your work drives you to navigate obstacles with tenacity, even in ambiguous situations. Effective communicator : You excel at conveying complex technical analyses to non-technical audiences in an accessible manner. Insatiably curious : For you, simply completing a task isn't enough; you strive unyieldingly until you've discovered the best possible solution. Team-oriented : You believe in the power of collaboration to drive success. Impact-focused : Your approach is consistently outcome-oriented. Technical skills: Proficiency in Excel, PowerPoint and Word Proficiency in SQL is a strong plus Experience with multiple reporting mediums (e.g., Hex, Tableau, etc.) is a plus Familiarity with coding (Python, R, or VBA / Apps Script) is a plus Candidates must pass a quantitative test to proceed with the application process.AlphaSights is an equal opportunity employer. For more information about our team, how we build our tech, and our benefits, visit . For example: - Context as to why you have gaps in your CV. - Context as to why you are applying for a role that differs from your previous experience or degree subject. This field is required. Options are provided in accordance to the CEFR Framework. If you have not taken this language test please select to the best of your knowledge. This field is required.This field is required.
19/06/2026
Full time
The options provided in this section allow you to customise your consent preferences for any tracking technology used for the purposes described below. To learn more about how these trackers help us and how they work, refer to the . Please be aware that denying consent for a particular purpose may make related features unavailable.Always ActiveThese trackers are used for activities that are strictly necessary to operate or deliver the service you requested from us and, therefore, do not require you to consent.These trackers help us to deliver personalised ads or marketing content to you, and to measure their performance.# Senior Product AnalystLondon Who we are: AlphaSights is the leading global knowledge platform. Our sophisticated technology platform enables our clients, our people, and our experts to connect, collaborate, and transfer globally distributed knowledge faster than ever before. Professionals at investment firms, consultancies, corporations and nonprofits rely on us to connect them seamlessly with knowledgeable domain experts who help enhance their thinking, inform critical decisions and propel their business forward. Founded in 2008, AlphaSights currently employs more than 1,500 professionals in nine offices around the globe and regularly ranks as one of the fastest-growing companies in the world. The role: As a Senior Product Analyst at AlphaSights' Technology & Strategy team, you'll drive growth from day one by optimizing our technology investments. Teaming up with a Group Product Manager, you'll report on product usage and unveil insights to guide product development. We value bright minds over titles, empowering you with the autonomy to solve complex problems and continuously strive for excellence in your product area. This role is a unique opportunity for proactive problem-solvers who crave impact, thrive in dynamic teams, and relish diverse challenges in a disruptive, fast-growing industry. We seek hardworking, motivated individuals eager to apply their analytical skills to boost business growth. What you'll do: Data-informed insight generation : Leverage internal and external analytics tools to analyze user behavior and develop structured insights that shape our product roadmap. Adoption monitoring & reporting : Create compelling dashboards and presentations that highlight user adoption trends and impact measurements. Product discovery support : Collaborate with product managers to identify user problems and commercial opportunities through analytics and user interviews. End-to-end metric definition : Work with software engineering teams to plan database structures for new products, ensuring crucial user actions are tracked effectively. Impact goal setting: Define, measure, and monitor key performance indicators (KPIs) to ensure our products drive meaningful business outcomes. Who you are: High-achieving professional with 2+ years of analytical experience with a successful track record. Analytical problem solver : You thrive in data-rich environments and love using your technical skills to solve problems. Autonomous: You quickly take ownership of your work and always look for ways to improve current processes and techniques. Proactive and relentless : Your deep passion for your work drives you to navigate obstacles with tenacity, even in ambiguous situations. Effective communicator : You excel at conveying complex technical analyses to non-technical audiences in an accessible manner. Insatiably curious : For you, simply completing a task isn't enough; you strive unyieldingly until you've discovered the best possible solution. Team-oriented : You believe in the power of collaboration to drive success. Impact-focused : Your approach is consistently outcome-oriented. Technical skills: Proficiency in Excel, PowerPoint and Word Proficiency in SQL is a strong plus Experience with multiple reporting mediums (e.g., Hex, Tableau, etc.) is a plus Familiarity with coding (Python, R, or VBA / Apps Script) is a plus Candidates must pass a quantitative test to proceed with the application process.AlphaSights is an equal opportunity employer. For more information about our team, how we build our tech, and our benefits, visit . For example: - Context as to why you have gaps in your CV. - Context as to why you are applying for a role that differs from your previous experience or degree subject. This field is required. Options are provided in accordance to the CEFR Framework. If you have not taken this language test please select to the best of your knowledge. This field is required.This field is required.
Your role in our mission We are looking for an exceptional Senior Data Analyst to be a driving force within our Enterprise Data Hub. Reporting to the Lead Enterprise Data Analyst, you will move beyond reactive reporting to become a performance engineer for Salary Finance, helping us accelerate our business objectives. You will be responsible for building the "Platinum-rated" datasets that serve as our company's Source of Record, enabling us to safely scale our loan book to £1bn+. As a senior member of the team, you will be a high-visibility advocate for data excellence. You will work closely with stakeholders across all departments to foster a company-wide culture of data ownership. This is a high-impact role at the heart of our 2026 strategy. You won't just be fulfilling requests; you will be architecting the data framework that allows our Product, Marketing, and Commercial teams to self-serve with absolute confidence building trust throughout the organisation. Your mission is to ensure that the intelligence powering our most critical objectives is governed, trusted, and actionable. What you'll do You will liaise with stakeholders of all data literacy levels to develop robust dashboard requirements. You will build, design, develop and maintain best-in-class Power BI dashboards which serve a purpose and deliver value to the business. You will define and enact best practice UX/UI design across the dashboards to ensure user engagement in dashboarding. Drive Operational Efficiency You will lead the automation of manual reporting processes and end-to-end operational workflows, ensuring high uptime and seamless maintenance of production reports. You will regularly audit existing report performance and SQL scripts to reduce technical debt and improve processing speeds as data demand scales. Influence Strategic Direction You will provide deep-dive analytics and data-driven insights that directly shape long-term business strategy and commercial outcomes. Champion Data Integrity You will act as a custodian of data excellence by implementing and maintaining rigorous data governance standards and documentation across all analytical outputs. Engineer Data Foundations You will build optimised scalable data products and robust data marts, creating a structured environment for self-service analytics. You will collaborate with Enterprise Data Engineers to refine ETL/ELT pipelines, ensuring the upstream data architecture supports downstream analytical requirements. You will act as a data & analytics mentor across the business and lead training sessions for business users to increase self-service adoption and data-driven decision-making. You will lead the code-review process for SQL and DAX to ensure team-wide adherence to logic accuracy and performance standards. About you Proven Track Record: At least 5+ years of experience in data analytics, business intelligence, or similar roles, with a demonstrable history of progressing from technical execution to strategic delivery. Advanced SQL Mastery: Expert-level proficiency in writing, optimising, and debugging complex queries. You should be comfortable handling large-scale datasets and understanding relational database architecture. Power BI & DAX Specialist: Advanced command of the Power BI ecosystem. You don't just build reports; you create sophisticated DAX measures and perform complex data modeling to solve intricate business logic. Strategic Stakeholder Management: A proven ability to act as a bridge between technical data and business needs. You can translate "vague requests" into concrete technical requirements and present findings to executives with confidence. Insight Delivery & Storytelling: You possess a "so what?" mindset. You have a track record of moving beyond descriptive reporting to deliver predictive insights that drive measurable commercial value. LLM Literate: You are comfortable using LLMs (e.g., Claude, Gemini) to accelerate your workflow, whether for logic verification, documentation, or streamlining code development. Technical Mentorship: Experience in peer-reviewing code (SQL/DAX) and coaching junior analysts to uphold high standards of accuracy, performance, and design. Nice to have Experience in financial services or a similar regulated industry (e.g., FinTech, banking). Prompt Engineering for Data: You are well-versed in prompt engineering techniques to optimise data cleaning, generate SQL scripts, or automate metadata documentation. Python for Analytics: Ability to use Python for data manipulation (Pandas/NumPy), automation scripts, or basic statistical modeling to augment standard BI toolsets. Data Governance Frameworks: Practical experience establishing data dictionaries, lineage, and quality protocols to ensure a single source of truth. Forecasting & Predictive Modeling: Experience building time-series forecasts or predictive models to help the business anticipate trends, demand, or churn. Who you are Fearless, and able to make the impossible possible. Responsible, and want to help build a business that delivers a meaningful difference to society. Dedicated and want to commit to an exciting journey even through the highs and lows. Empathetic and truly care about every colleague and customer. United, because you understand we achieve more when we work as a team. Humble, and take feedback as a way to continuously improve. What do you get for all your hard work? 25 days holiday with an additional day off for every year of service up to 30 days and an extra day off on your birthday. Hybrid working arrangements so you can work from the office and from home with a budget to help you get set up. Generous company benefits to include pension and life assurance and an annual allowance to spend on medical insurance, health cash plan, denplan, gym memberships. Enhanced policies that are family and pet friendly, to include company sick pay and paternity leave. Great career development in a fast paced environment. Regular company socials. Volunteer days as part of our CSR program. More great perks to include weekly snacks, tuckshop, cycle to work, help to save and much more! We're looking for people that will get stuck in and make a difference. We have a great collaborative, entrepreneurial team and are passionate about what we do. If you want to join a team that is changing people's lives for the better then we'd love to hear from you. Salary Finance is proud to be an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive work environment where all employees and applicants can flourish. If there's anything we can do to accommodate your specific situation, please let us know.
19/06/2026
Full time
Your role in our mission We are looking for an exceptional Senior Data Analyst to be a driving force within our Enterprise Data Hub. Reporting to the Lead Enterprise Data Analyst, you will move beyond reactive reporting to become a performance engineer for Salary Finance, helping us accelerate our business objectives. You will be responsible for building the "Platinum-rated" datasets that serve as our company's Source of Record, enabling us to safely scale our loan book to £1bn+. As a senior member of the team, you will be a high-visibility advocate for data excellence. You will work closely with stakeholders across all departments to foster a company-wide culture of data ownership. This is a high-impact role at the heart of our 2026 strategy. You won't just be fulfilling requests; you will be architecting the data framework that allows our Product, Marketing, and Commercial teams to self-serve with absolute confidence building trust throughout the organisation. Your mission is to ensure that the intelligence powering our most critical objectives is governed, trusted, and actionable. What you'll do You will liaise with stakeholders of all data literacy levels to develop robust dashboard requirements. You will build, design, develop and maintain best-in-class Power BI dashboards which serve a purpose and deliver value to the business. You will define and enact best practice UX/UI design across the dashboards to ensure user engagement in dashboarding. Drive Operational Efficiency You will lead the automation of manual reporting processes and end-to-end operational workflows, ensuring high uptime and seamless maintenance of production reports. You will regularly audit existing report performance and SQL scripts to reduce technical debt and improve processing speeds as data demand scales. Influence Strategic Direction You will provide deep-dive analytics and data-driven insights that directly shape long-term business strategy and commercial outcomes. Champion Data Integrity You will act as a custodian of data excellence by implementing and maintaining rigorous data governance standards and documentation across all analytical outputs. Engineer Data Foundations You will build optimised scalable data products and robust data marts, creating a structured environment for self-service analytics. You will collaborate with Enterprise Data Engineers to refine ETL/ELT pipelines, ensuring the upstream data architecture supports downstream analytical requirements. You will act as a data & analytics mentor across the business and lead training sessions for business users to increase self-service adoption and data-driven decision-making. You will lead the code-review process for SQL and DAX to ensure team-wide adherence to logic accuracy and performance standards. About you Proven Track Record: At least 5+ years of experience in data analytics, business intelligence, or similar roles, with a demonstrable history of progressing from technical execution to strategic delivery. Advanced SQL Mastery: Expert-level proficiency in writing, optimising, and debugging complex queries. You should be comfortable handling large-scale datasets and understanding relational database architecture. Power BI & DAX Specialist: Advanced command of the Power BI ecosystem. You don't just build reports; you create sophisticated DAX measures and perform complex data modeling to solve intricate business logic. Strategic Stakeholder Management: A proven ability to act as a bridge between technical data and business needs. You can translate "vague requests" into concrete technical requirements and present findings to executives with confidence. Insight Delivery & Storytelling: You possess a "so what?" mindset. You have a track record of moving beyond descriptive reporting to deliver predictive insights that drive measurable commercial value. LLM Literate: You are comfortable using LLMs (e.g., Claude, Gemini) to accelerate your workflow, whether for logic verification, documentation, or streamlining code development. Technical Mentorship: Experience in peer-reviewing code (SQL/DAX) and coaching junior analysts to uphold high standards of accuracy, performance, and design. Nice to have Experience in financial services or a similar regulated industry (e.g., FinTech, banking). Prompt Engineering for Data: You are well-versed in prompt engineering techniques to optimise data cleaning, generate SQL scripts, or automate metadata documentation. Python for Analytics: Ability to use Python for data manipulation (Pandas/NumPy), automation scripts, or basic statistical modeling to augment standard BI toolsets. Data Governance Frameworks: Practical experience establishing data dictionaries, lineage, and quality protocols to ensure a single source of truth. Forecasting & Predictive Modeling: Experience building time-series forecasts or predictive models to help the business anticipate trends, demand, or churn. Who you are Fearless, and able to make the impossible possible. Responsible, and want to help build a business that delivers a meaningful difference to society. Dedicated and want to commit to an exciting journey even through the highs and lows. Empathetic and truly care about every colleague and customer. United, because you understand we achieve more when we work as a team. Humble, and take feedback as a way to continuously improve. What do you get for all your hard work? 25 days holiday with an additional day off for every year of service up to 30 days and an extra day off on your birthday. Hybrid working arrangements so you can work from the office and from home with a budget to help you get set up. Generous company benefits to include pension and life assurance and an annual allowance to spend on medical insurance, health cash plan, denplan, gym memberships. Enhanced policies that are family and pet friendly, to include company sick pay and paternity leave. Great career development in a fast paced environment. Regular company socials. Volunteer days as part of our CSR program. More great perks to include weekly snacks, tuckshop, cycle to work, help to save and much more! We're looking for people that will get stuck in and make a difference. We have a great collaborative, entrepreneurial team and are passionate about what we do. If you want to join a team that is changing people's lives for the better then we'd love to hear from you. Salary Finance is proud to be an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive work environment where all employees and applicants can flourish. If there's anything we can do to accommodate your specific situation, please let us know.
Ready to make travel easier for millions? Airalo is the world's first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What's in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We're curious problem-solvers who love tackling challenges that haven't been solved before and building tools and processes that scale impact across the company. Airalo's fully remote Data team is growing. You'll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn't just dashboards - it's using data to drive strategy, inform product and growth decisions, and create real impact. You'll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. You will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. What You Will Do: Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers. Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo's data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real time data capabilities as the business matures beyond batch processing. Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem solving to structured, agile delivery. Oversee the maintenance and optimization of high performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company wide goal of 80 % self serve analytics. Must-haves: 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands on background with major cloud platforms (GCP preferred) and cloud native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation. Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Nice-to-have: Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real time event processing. Experience in marketplace, B2C, or high volume transactional businesses. Previous work in globally distributed data environments (multi currency, multi region, multi language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.
19/06/2026
Full time
Ready to make travel easier for millions? Airalo is the world's first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What's in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We're curious problem-solvers who love tackling challenges that haven't been solved before and building tools and processes that scale impact across the company. Airalo's fully remote Data team is growing. You'll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn't just dashboards - it's using data to drive strategy, inform product and growth decisions, and create real impact. You'll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. You will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. What You Will Do: Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers. Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo's data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real time data capabilities as the business matures beyond batch processing. Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem solving to structured, agile delivery. Oversee the maintenance and optimization of high performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company wide goal of 80 % self serve analytics. Must-haves: 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands on background with major cloud platforms (GCP preferred) and cloud native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation. Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Nice-to-have: Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real time event processing. Experience in marketplace, B2C, or high volume transactional businesses. Previous work in globally distributed data environments (multi currency, multi region, multi language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.
We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team: At Preply, data is at the heart of every decision we make. We run hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges. The complexity of our subscription model, along with the unique dynamics of tutor-learner interactions, offers an exciting opportunity for those looking to make a real impact. As Senior Data Analyst - Fraud Prevention, you will be the analytical bridge between Product, Fraud Operations, and the Applied AI team. You will be the expert who turns model outputs and raw signals into actionable intelligence: rules, alerts, forecasts, and metrics that keep Preply's marketplace safe and trustworthy. Our Data Team is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar to learn about the technologies we use at Preply! What you'll be doing Work with outputs from ML models to maintain and improve fraud prevention decision, balancing detection coverage against false positive rates Own the fraud rule lifecycle - designing, testing, and maintaining prevention rules, with a clear view of coverage, false positive trade-offs, and when to retire what's no longer working Partner with Fraud Operations to understand emerging abuse patterns and translate operational observations into analytical improvements. Design and maintain alerting systems that identify threats early, giving the team time to respond before incidents escalation. Forecast fraud losses and chargeback volumes, giving Finance and Risk leadership earlier visibility into projected exposure. Define and own the north star metrics and KPIs for fraud prevention, ensuring reporting is clear, owned, and actionable at the executive level. Act as the data bridge between Product and the Applied AI team - providing performance feedback that informs model updates and roadmap prioritisation. Support the evaluation of third-party fraud prevention providers, bringing data-driven criteria to vendor assessments. Collaborate with Data and Analytics Engineering to ensure fraud-related data is tracked, governed, and handled in line with PII requirements. What you need to succeed 4+ years of experience in fraud analytics, risk analysis, or a closely related payments/trust & safety domain. Strong SQL and Python proficiency being comfortable writing analytical queries across large transactional datasets, building monitoring logic, and applying statistical techniques to fraud and risk problems Experience designing and maintaining dashboards or alerting systems with clear signal-to-noise discipline. Strong analytical communication: able to turn ambiguous fraud signals into crisp, actionable narratives for operational and executive audiences. Experience collaborating with cross-functional teams including Operations, Engineering, and Product. Ability to leverage AI tools and agents as a force multiplier for analysis, while maintaining the critical thinking to interrogate outputs, spot gaps, and own the conclusions Experience mentoring junior and mid-level analysts helping them grow their technical skills, develop analytical judgement, and raise the quality of the team's output Nice to have Prior experience working in a marketplace or two-sided platform. Experience with payment processing concepts - chargebacks, dispute flows, authorisation rates, PSP dynamics. Exposure to compliance or regulatory frameworks (PSD2/3, AML, KYC). Why you'll love it at Preply An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on Learning & Development budget and time off for your self-development; A competitive financial package with equity, leave allowance and health insurance; Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub Access to free mental health support platforms; Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!). Our Principles Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don't fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Diversity, Equity, and Inclusion is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
18/06/2026
Full time
We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team: At Preply, data is at the heart of every decision we make. We run hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges. The complexity of our subscription model, along with the unique dynamics of tutor-learner interactions, offers an exciting opportunity for those looking to make a real impact. As Senior Data Analyst - Fraud Prevention, you will be the analytical bridge between Product, Fraud Operations, and the Applied AI team. You will be the expert who turns model outputs and raw signals into actionable intelligence: rules, alerts, forecasts, and metrics that keep Preply's marketplace safe and trustworthy. Our Data Team is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar to learn about the technologies we use at Preply! What you'll be doing Work with outputs from ML models to maintain and improve fraud prevention decision, balancing detection coverage against false positive rates Own the fraud rule lifecycle - designing, testing, and maintaining prevention rules, with a clear view of coverage, false positive trade-offs, and when to retire what's no longer working Partner with Fraud Operations to understand emerging abuse patterns and translate operational observations into analytical improvements. Design and maintain alerting systems that identify threats early, giving the team time to respond before incidents escalation. Forecast fraud losses and chargeback volumes, giving Finance and Risk leadership earlier visibility into projected exposure. Define and own the north star metrics and KPIs for fraud prevention, ensuring reporting is clear, owned, and actionable at the executive level. Act as the data bridge between Product and the Applied AI team - providing performance feedback that informs model updates and roadmap prioritisation. Support the evaluation of third-party fraud prevention providers, bringing data-driven criteria to vendor assessments. Collaborate with Data and Analytics Engineering to ensure fraud-related data is tracked, governed, and handled in line with PII requirements. What you need to succeed 4+ years of experience in fraud analytics, risk analysis, or a closely related payments/trust & safety domain. Strong SQL and Python proficiency being comfortable writing analytical queries across large transactional datasets, building monitoring logic, and applying statistical techniques to fraud and risk problems Experience designing and maintaining dashboards or alerting systems with clear signal-to-noise discipline. Strong analytical communication: able to turn ambiguous fraud signals into crisp, actionable narratives for operational and executive audiences. Experience collaborating with cross-functional teams including Operations, Engineering, and Product. Ability to leverage AI tools and agents as a force multiplier for analysis, while maintaining the critical thinking to interrogate outputs, spot gaps, and own the conclusions Experience mentoring junior and mid-level analysts helping them grow their technical skills, develop analytical judgement, and raise the quality of the team's output Nice to have Prior experience working in a marketplace or two-sided platform. Experience with payment processing concepts - chargebacks, dispute flows, authorisation rates, PSP dynamics. Exposure to compliance or regulatory frameworks (PSD2/3, AML, KYC). Why you'll love it at Preply An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on Learning & Development budget and time off for your self-development; A competitive financial package with equity, leave allowance and health insurance; Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub Access to free mental health support platforms; Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!). Our Principles Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don't fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Diversity, Equity, and Inclusion is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
Your new role As part of the Data Analytics & AI team, you'll help build and evolve a Snowflake-based data platform. You will design and maintain robust data pipelines and models that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting, insight generation, and future AI/ML initiatives across the business. What You'll Do Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. Work with Snowflake: Design and optimise data models, manage performance, and adopt advanced Snowflake features. Ensure Data Quality: Apply governance, security, and compliance standards. Collaborate: Support analysts and business teams with clean, structured data for reporting and analytics. Monitor & Improve: Implement monitoring, alerting, and cost controls for Snowflake and pipelines. Contribute to Best Practices: Help define standards for naming, schema design, and development processes. What you'll need to succeed Strong hands-on experience with Snowflake, SQL, Python, and Dbt Solid understanding of data modelling, data governance, and cloud platforms (AWS preferred) Experience supporting analytics using BI tools such as Power BI Familiarity with data ingestion tools (e.g. Airbyte, Fivetran) Working knowledge of Git, CI/CD, and modern data engineering practices What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
17/06/2026
Full time
Your new role As part of the Data Analytics & AI team, you'll help build and evolve a Snowflake-based data platform. You will design and maintain robust data pipelines and models that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting, insight generation, and future AI/ML initiatives across the business. What You'll Do Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. Work with Snowflake: Design and optimise data models, manage performance, and adopt advanced Snowflake features. Ensure Data Quality: Apply governance, security, and compliance standards. Collaborate: Support analysts and business teams with clean, structured data for reporting and analytics. Monitor & Improve: Implement monitoring, alerting, and cost controls for Snowflake and pipelines. Contribute to Best Practices: Help define standards for naming, schema design, and development processes. What you'll need to succeed Strong hands-on experience with Snowflake, SQL, Python, and Dbt Solid understanding of data modelling, data governance, and cloud platforms (AWS preferred) Experience supporting analytics using BI tools such as Power BI Familiarity with data ingestion tools (e.g. Airbyte, Fivetran) Working knowledge of Git, CI/CD, and modern data engineering practices What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
PMO Data AnalystApplylocations: GB - Luton - Cap. Green 300: GB - Edinburghtime type: Full timeposted on: Posted Yesterdayjob requisition id: R Job Description: Salary Range: £45,000 - £60,000 Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your Impact Ready to make an impact? Join Leonardo UK and help shape the future of defence and aerospace working on the once-in-a-generation programme delivering sixth-generation air capability. We are looking for a motivated and inquisitive Data Analyst to join the Performance Team within the Future Combat Air System (FCAS) Portfolio Office. As part of the Performance Team, you will work closely with other Business and Data Analysts directly reporting into the Performance Lead, to support the delivery of optimised data flows, and support the development and subsequent creation of insightful management reports using PowerBI and other tools, such as JIRA.The purpose of the FCAS Portfolio Office - Performance Team is to enhance and deliver Portfolio Performance reporting to enable data driven decision making and improve operational efficiency. We are aiming to provide meaningful insights from business management data to our Senior Leadership Team, Programme Managers and Wider Integrated Project Team (IPT) team members, through PowerBI and/or other systems. This requires sourcing, collating and moderating a multiplicity of views from across the business, and simplifying and rationalising a complex range of data to facilitate informed decisions making.You will gain first-hand experience and exposure in the decision-making processes at strategic through to operational level and understand how meaningful data analysis can support a range of stakeholders at varying seniority levels within the FCAS programme.This role offers hybrid working, allowing a combination of office-based and remote work, along with flexible working arrangements to support work-life balance. What you'll do as a PMO Data Analyst Retrieve, structure and analyse business management data from across the Programmes and across functions, identifying data quality issues and applying appropriate fixes, understanding and reconciling different data sources. Support the maintenance and development of key interactive reports in PowerBI and other tools, to enable the effective management of the FCAS Programmes/Products, as well as to satisfy other Leonardo UK business reporting requirements. Identify and suggest ways to streamline existing data management processes. Support the implementation of improvement Initiatives. Participate in internal team user testing, peer review and validation sessions. On occasion, support the delivery of training in the use of new tools or new ways of working. On occasion, provide facilitation support at requirements gathering/stakeholder management forums. Communicate findings clearly to both technical and non-technical audiences. What You'll Bring Strong analytical capability with expertise in manipulating and interpreting large datasets. Proven experience building and maintaining interactive dashboards in Power BI. Ability to design clear, intuitive, and user-focused visualisations that drive decision-making. Solid understanding of data modelling, data structures, and ensuring data integrity within reporting solutions. Experience translating business requirements into effective dashboard and reporting outputs. Strong data storytelling skills - able to distil complex analysis into clear, actionable insights. High attention to detail with a focus on accuracy, consistency, and reliability of data outputs. Experience automating reporting processes and optimising dashboard performance.Experience in the following areas would be advantageous but not essential Experience of working in a business management environment Experience of working with data from SAP, P6 Primavera, Business Objects (BObj) would be an advantage Experience with Python or R for data analysis Familiarity with data pipelines and SQL Be comfortable working in a small team and possess the flexibility to move to different tasks as priorities dictates. Experienced in using Atlassian tools (Confluence and Jira) Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role.For a full list of our company benefits please visit our website.Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety.At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know.Be part of something bigger - apply now! Primary Location: GB - Luton - Cap. Green 300 Additional Locations: GB - Edinburgh Contract Type: Permanent Hybrid Working: Hybrid
16/06/2026
Full time
PMO Data AnalystApplylocations: GB - Luton - Cap. Green 300: GB - Edinburghtime type: Full timeposted on: Posted Yesterdayjob requisition id: R Job Description: Salary Range: £45,000 - £60,000 Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your Impact Ready to make an impact? Join Leonardo UK and help shape the future of defence and aerospace working on the once-in-a-generation programme delivering sixth-generation air capability. We are looking for a motivated and inquisitive Data Analyst to join the Performance Team within the Future Combat Air System (FCAS) Portfolio Office. As part of the Performance Team, you will work closely with other Business and Data Analysts directly reporting into the Performance Lead, to support the delivery of optimised data flows, and support the development and subsequent creation of insightful management reports using PowerBI and other tools, such as JIRA.The purpose of the FCAS Portfolio Office - Performance Team is to enhance and deliver Portfolio Performance reporting to enable data driven decision making and improve operational efficiency. We are aiming to provide meaningful insights from business management data to our Senior Leadership Team, Programme Managers and Wider Integrated Project Team (IPT) team members, through PowerBI and/or other systems. This requires sourcing, collating and moderating a multiplicity of views from across the business, and simplifying and rationalising a complex range of data to facilitate informed decisions making.You will gain first-hand experience and exposure in the decision-making processes at strategic through to operational level and understand how meaningful data analysis can support a range of stakeholders at varying seniority levels within the FCAS programme.This role offers hybrid working, allowing a combination of office-based and remote work, along with flexible working arrangements to support work-life balance. What you'll do as a PMO Data Analyst Retrieve, structure and analyse business management data from across the Programmes and across functions, identifying data quality issues and applying appropriate fixes, understanding and reconciling different data sources. Support the maintenance and development of key interactive reports in PowerBI and other tools, to enable the effective management of the FCAS Programmes/Products, as well as to satisfy other Leonardo UK business reporting requirements. Identify and suggest ways to streamline existing data management processes. Support the implementation of improvement Initiatives. Participate in internal team user testing, peer review and validation sessions. On occasion, support the delivery of training in the use of new tools or new ways of working. On occasion, provide facilitation support at requirements gathering/stakeholder management forums. Communicate findings clearly to both technical and non-technical audiences. What You'll Bring Strong analytical capability with expertise in manipulating and interpreting large datasets. Proven experience building and maintaining interactive dashboards in Power BI. Ability to design clear, intuitive, and user-focused visualisations that drive decision-making. Solid understanding of data modelling, data structures, and ensuring data integrity within reporting solutions. Experience translating business requirements into effective dashboard and reporting outputs. Strong data storytelling skills - able to distil complex analysis into clear, actionable insights. High attention to detail with a focus on accuracy, consistency, and reliability of data outputs. Experience automating reporting processes and optimising dashboard performance.Experience in the following areas would be advantageous but not essential Experience of working in a business management environment Experience of working with data from SAP, P6 Primavera, Business Objects (BObj) would be an advantage Experience with Python or R for data analysis Familiarity with data pipelines and SQL Be comfortable working in a small team and possess the flexibility to move to different tasks as priorities dictates. Experienced in using Atlassian tools (Confluence and Jira) Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role.For a full list of our company benefits please visit our website.Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety.At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know.Be part of something bigger - apply now! Primary Location: GB - Luton - Cap. Green 300 Additional Locations: GB - Edinburgh Contract Type: Permanent Hybrid Working: Hybrid
About the role We are looking for a Senior Data Analyst to lead analytics and evaluation efforts for search and retrieval systems. You will own key analytical workflows, define measurement strategies, and generate insights that directly improve ranking quality, relevance, and user experience. This role is ideal for someone with deep experience in search analytics, experimentation, and data visualization, who can operate with high autonomy and influence decision making across cross functional teams. Key Responsibilities Search Evaluation & Analytics: Perform a leading role in analysis of search and retrieval system performance, including ranking quality and relevance. Help define and standardize search evaluation metrics (e.g., NDCG, MAP, recall, precision, CTR). Analyze query behavior, user interaction signals, and content performance to identify optimization opportunities. Conduct deep dive analyses on ranking performance, query intent, and retrieval gaps. Support evaluation of downstream applications (including GenAI powered features) where they depend on retrieval quality. Experimentation & Reporting: Help design and lead A/B testing and experimentation frameworks for search and ranking improvements. Partner with product and data science to define success metrics and experiment strategies. Ensure statistical rigor in experiment design, analysis, and interpretation. Build reusable experimentation templates and scalable analysis workflows. Data Visualization & Communication: Own and evolve dashboards and reporting systems tracking search performance and user engagement. Develop clear, actionable data storytelling to communicate insights to technical and business stakeholders. Enable self service analytics for partners through well designed reporting tools. Data Management & Tooling: Work with large scale datasets using modern platforms (e.g., Databricks, Spark, SQL based systems). Ensure high standards for data quality, metric consistency, and instrumentation reliability. Collaborate with engineering to improve logging, tracking, and observability of search systems. Cross functional Impact & Mentorship: Act as a key analytics partner to search data scientists, engineers, and product teams. Help elevate the team's understanding of retrieval performance and measurement frameworks. Required Qualifications Master's or PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience). Significant experience in data analysis, business intelligence, or analytics roles. Proficiency in SQL and Python for large scale data analysis. Advanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn). Experience working with Databricks or similar large scale data platforms. Excellent understanding of experimentation design, A/B testing, and statistical analysis. Experience defining and analyzing search/retrieval metrics (e.g., NDCG, recall, precision, ranking metrics). Proven ability to translate complex data into actionable insights and influence decisions. Preferred Qualifications PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience). Experience working on search, ranking, or recommendation systems. Familiarity with information retrieval concepts (e.g., indexing, ranking, query understanding). Exposure to clickstream data, user behavior analytics, and event tracking systems. Experience supporting evaluation of ML based ranking or retrieval systems. Familiarity with RAG systems or GenAI applications. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
16/06/2026
Full time
About the role We are looking for a Senior Data Analyst to lead analytics and evaluation efforts for search and retrieval systems. You will own key analytical workflows, define measurement strategies, and generate insights that directly improve ranking quality, relevance, and user experience. This role is ideal for someone with deep experience in search analytics, experimentation, and data visualization, who can operate with high autonomy and influence decision making across cross functional teams. Key Responsibilities Search Evaluation & Analytics: Perform a leading role in analysis of search and retrieval system performance, including ranking quality and relevance. Help define and standardize search evaluation metrics (e.g., NDCG, MAP, recall, precision, CTR). Analyze query behavior, user interaction signals, and content performance to identify optimization opportunities. Conduct deep dive analyses on ranking performance, query intent, and retrieval gaps. Support evaluation of downstream applications (including GenAI powered features) where they depend on retrieval quality. Experimentation & Reporting: Help design and lead A/B testing and experimentation frameworks for search and ranking improvements. Partner with product and data science to define success metrics and experiment strategies. Ensure statistical rigor in experiment design, analysis, and interpretation. Build reusable experimentation templates and scalable analysis workflows. Data Visualization & Communication: Own and evolve dashboards and reporting systems tracking search performance and user engagement. Develop clear, actionable data storytelling to communicate insights to technical and business stakeholders. Enable self service analytics for partners through well designed reporting tools. Data Management & Tooling: Work with large scale datasets using modern platforms (e.g., Databricks, Spark, SQL based systems). Ensure high standards for data quality, metric consistency, and instrumentation reliability. Collaborate with engineering to improve logging, tracking, and observability of search systems. Cross functional Impact & Mentorship: Act as a key analytics partner to search data scientists, engineers, and product teams. Help elevate the team's understanding of retrieval performance and measurement frameworks. Required Qualifications Master's or PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience). Significant experience in data analysis, business intelligence, or analytics roles. Proficiency in SQL and Python for large scale data analysis. Advanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn). Experience working with Databricks or similar large scale data platforms. Excellent understanding of experimentation design, A/B testing, and statistical analysis. Experience defining and analyzing search/retrieval metrics (e.g., NDCG, recall, precision, ranking metrics). Proven ability to translate complex data into actionable insights and influence decisions. Preferred Qualifications PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience). Experience working on search, ranking, or recommendation systems. Familiarity with information retrieval concepts (e.g., indexing, ranking, query understanding). Exposure to clickstream data, user behavior analytics, and event tracking systems. Experience supporting evaluation of ML based ranking or retrieval systems. Familiarity with RAG systems or GenAI applications. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
