At Optimizely, we're on a mission to help people unlock their digital potential. We do that by reinventing how marketing and product teams work to create and optimize digital experiences across all channels. With Optimizely One, our industry first operating system for marketers, we offer teams flexibility and choice to build their stack their way with our fully SaaS, fully decoupled, and highly composable solution. We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue and grow their brands. Our innovation and excellence have earned us numerous recognitions as a leader by industry analysts such as Gartner, Forrester, and IDC, reinforcing our role as a trailblazer in MarTech. At our core, we believe work is about more than just numbers it's about the people. Our culture is dynamic and constantly evolving, shaped by every employee, their actions and their stories. With over 1500 Optimizers spread across 12 global locations, our diverse team embodies the "One Optimizely" spirit, emphasizing collaboration and continuous improvement, while fostering a culture where every voice is heard and valued. Join us and become part of a company that's empowering people to unlock their digital potential! Introduction As an Associate Analytics Engineer, you will play a foundational role in shaping how AI interacts with our data. You will be responsible for building and maintaining a robust semantic layer using dbt and Snowflake, ensuring our data is clean, well documented, and ready for consumption by both human analysts and AI agents. In doing so, you will help democratise access to key insights across the business, empowering teams at every level to make better, faster decisions without needing to be technical experts. This is an exciting moment for someone early in their career to help define how the next generation of data tooling is built and used. You will be supported by an experienced team and given real ownership from day one, with a clear path to grow into a more senior analytics engineering role as your skills develop. Job Responsibilities Build and maintain dbt models to create a reliable, well structured semantic layer on top of Snowflake Design and manage data models optimised for use by AI agents and LLM based tooling (including Optimizely's own Opal product) Develop and maintain metadata, including descriptions, lineage, and business context, to enable AI agents to accurately understand and query the data Experiment with AI agents and LLM based tooling to explore how data models and context layers can power intelligent, autonomous workflows Build metrics to track the quality of data, and actively monitor these to provide assurance to business users Collaborate with data engineers, analysts, and data scientists to translate business requirements into scalable, reusable data models Contribute to documentation standards and best practices across the team Knowledge and Experience At least 1 year of working experience, with knowledge of SQL gained through coursework, projects, or early professional experience Exposure to or interest in dbt for data modelling and transformation A clear vision for how AI and LLMs can transform the way businesses use and act on data, and a drive to help make that a reality Exposure to prompt engineering or LLM based tooling Strong attention to detail, particularly regarding documentation Education Bachelor's or Master's degree in Computer Science, Information Systems, Mathematics, Statistics, Physics, Economics, or a related quantitative discipline - or equivalent practical experience. Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
07/06/2026
Full time
At Optimizely, we're on a mission to help people unlock their digital potential. We do that by reinventing how marketing and product teams work to create and optimize digital experiences across all channels. With Optimizely One, our industry first operating system for marketers, we offer teams flexibility and choice to build their stack their way with our fully SaaS, fully decoupled, and highly composable solution. We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue and grow their brands. Our innovation and excellence have earned us numerous recognitions as a leader by industry analysts such as Gartner, Forrester, and IDC, reinforcing our role as a trailblazer in MarTech. At our core, we believe work is about more than just numbers it's about the people. Our culture is dynamic and constantly evolving, shaped by every employee, their actions and their stories. With over 1500 Optimizers spread across 12 global locations, our diverse team embodies the "One Optimizely" spirit, emphasizing collaboration and continuous improvement, while fostering a culture where every voice is heard and valued. Join us and become part of a company that's empowering people to unlock their digital potential! Introduction As an Associate Analytics Engineer, you will play a foundational role in shaping how AI interacts with our data. You will be responsible for building and maintaining a robust semantic layer using dbt and Snowflake, ensuring our data is clean, well documented, and ready for consumption by both human analysts and AI agents. In doing so, you will help democratise access to key insights across the business, empowering teams at every level to make better, faster decisions without needing to be technical experts. This is an exciting moment for someone early in their career to help define how the next generation of data tooling is built and used. You will be supported by an experienced team and given real ownership from day one, with a clear path to grow into a more senior analytics engineering role as your skills develop. Job Responsibilities Build and maintain dbt models to create a reliable, well structured semantic layer on top of Snowflake Design and manage data models optimised for use by AI agents and LLM based tooling (including Optimizely's own Opal product) Develop and maintain metadata, including descriptions, lineage, and business context, to enable AI agents to accurately understand and query the data Experiment with AI agents and LLM based tooling to explore how data models and context layers can power intelligent, autonomous workflows Build metrics to track the quality of data, and actively monitor these to provide assurance to business users Collaborate with data engineers, analysts, and data scientists to translate business requirements into scalable, reusable data models Contribute to documentation standards and best practices across the team Knowledge and Experience At least 1 year of working experience, with knowledge of SQL gained through coursework, projects, or early professional experience Exposure to or interest in dbt for data modelling and transformation A clear vision for how AI and LLMs can transform the way businesses use and act on data, and a drive to help make that a reality Exposure to prompt engineering or LLM based tooling Strong attention to detail, particularly regarding documentation Education Bachelor's or Master's degree in Computer Science, Information Systems, Mathematics, Statistics, Physics, Economics, or a related quantitative discipline - or equivalent practical experience. Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Senior Data Protection AnalystLocation: Flexible on location with visits to our office in Wimbledon as and when required.Salary: PermanentContract: Full TimeWe have an exciting opportunity for Senior Data Protection Analyst to join our Risk & Compliance team here at Domestic & General. The role plays a pivotal role in supporting and strengthening the organisation's data protection and privacy compliance framework.The role focuses on implementing and maintaining operational data protection processes, conducting data privacy risk assessments, supporting regulatory compliance, and ensuring that personal data is processed in accordance with relevant legislation including the UK General Data Protection Regulation.Key Responsibilities:Provide support to the GDPO to help shape the design, implementation, and continuous improvement of the organisation's data privacy framework.Monitor compliance with data privacy legislation, policies, and internal controls.Maintain and oversee RoPA, DPIAs, LIAs and associated documentation.Develop and implement data privacy policies, standards, and guidance.Identify, evaluate, and mitigate privacy risks across business functions.Lead and oversee DPIAs, TIAs, and high risk processing assessments.Advise on new initiatives, digital transformation programmes, and vendor engagements to ensure privacy by design and default.Ensure third-party vendors comply with the organisation's data privacy requirements.Lead the response to personal data breaches, including assessment, containment, remediation, and notification obligations to regulators and data subjects.Ensure effective root cause analysis and drive systemic improvements.Serve as a trusted advisor to first line business areas and other functions, such as Legal, Information Security, HR, Marketing, and Product teams.Review contracts and data privacy clauses in conjunctions with Procurement and Legal teams.Provide expert advice on international data transfers and cross border processing.Develop and deliver privacy training, workshops, and awareness campaigns.Promote a privacy first culture across the organisation.Oversee processes related to data subject rights requests (DSRs), including access, rectification, and erasure requests.Ensure efficient handling of subject rights requests within statutory timelines.Coordinate compliance with applicable data privacy laws and guidance issued by regulators such as the Information Commissioner's Office.Manage responses to regulatory enquiries, investigations, and audits.Develop and maintain policies covering data retention, lawful processing, and international data transfers.Maintain records of processing activities as required under data privacy legislation.Act as a key point of contact with regulators, external auditors, and data subjects where required.Prepare regular reports for senior leadership, risk committees, and the GDPO.Mentor data privacy analysts and privacy specialists.Support the strategic development of the data protection function.Provide management information on a regular basis to demonstrate compliance for relevant business units and highlight any compliance gaps. This includes preparation of monthly KRIs.Horizon scan for changes to data privacy laws / regulations that could impact the business and raise these with the GDPO.Monitor regulatory developments and assess their impact on organisational operations.Working groups - attend and contribute where required.Provide cover for other members of the DP Team as required.Skills and experience required:Strong knowledge of applicable data privacy laws, e.g. UK GDPR, EU GDPR, DPA 2018, PECR/e-Privacy, and relevant industry standards.Proven experience of conducting operational day-to-day data privacy tasks, DPIAs, incident response, and regulatory interactions.Excellent communication, influencing, and stakeholder management skills.Ability to interpret complex legislation and translate into practical business advice.Recognised data privacy qualification is preferrable but not essential, such as CIPP/E, CIPM, CIPT, BCS Data Protection, or equivalent.We offer lots of great benefits! Some of which include:Competitive salary and annual discretionary bonus25 days annual leave plus bank/public holidays, as well as an annual option to buy up to 5 additional days of annual leaveTraining opportunities as well as clearly defined career progressionHealth cash plan - employer funded cover to enable you to claim money back on essential healthcare costs, including dental, optical, physiotherapy and many more. Cover also includes unlimited access to a 24/7 virtual GP serviceAttractive company pension schemeLife assurance - employer funded cover of 4x basic salaryDedicated online benefit portal offering access to saving and lending facilities, financial wellbeing and support services:Salary Finance - access to savings and borrowing through payrollCar Leasing - access to a carbon neutral salary sacrifice car leasing scheme, with an all-inclusive monthly cost covering all charge, taxes, insurance, repairs and maintenance on a range of brand-new vehiclesTravel Loans - interest free loans to help spread the cost of annual travel ticketsCycle to Work - tax efficient bike and cycling equipment worth up to £1,000Health & Wellbeing - discounted gym membership, online virtual workout sessions, online culinary classesOnHand - Giving you the opportunity to be an Eco & Social volunteer via a handy app. Volunteer individually or in groups to get involved in Youth Mentoring, Food Poverty, Homelessness & Elderly help.Employee Assistance Programme - specialist advice and support on issues such as finance, relationships, illness and family issuesFree Domestic & General protection plan - one free plan each year with access to discounted rates of up to 50% on additional plans, including referrals for family and friendsEmployee discounts - with a range of discounts for 100s of online and high street retailersDomestic & General are an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status.Please note that we have a thorough referencing process, which includes criminal record checks.At Domestic & General, we are proud of our 100-year legacy and excited about our future growth plans. We are expanding our horizons, entering new markets and territories internationally and we need your expertise to help us on the journey.
07/06/2026
Full time
Senior Data Protection AnalystLocation: Flexible on location with visits to our office in Wimbledon as and when required.Salary: PermanentContract: Full TimeWe have an exciting opportunity for Senior Data Protection Analyst to join our Risk & Compliance team here at Domestic & General. The role plays a pivotal role in supporting and strengthening the organisation's data protection and privacy compliance framework.The role focuses on implementing and maintaining operational data protection processes, conducting data privacy risk assessments, supporting regulatory compliance, and ensuring that personal data is processed in accordance with relevant legislation including the UK General Data Protection Regulation.Key Responsibilities:Provide support to the GDPO to help shape the design, implementation, and continuous improvement of the organisation's data privacy framework.Monitor compliance with data privacy legislation, policies, and internal controls.Maintain and oversee RoPA, DPIAs, LIAs and associated documentation.Develop and implement data privacy policies, standards, and guidance.Identify, evaluate, and mitigate privacy risks across business functions.Lead and oversee DPIAs, TIAs, and high risk processing assessments.Advise on new initiatives, digital transformation programmes, and vendor engagements to ensure privacy by design and default.Ensure third-party vendors comply with the organisation's data privacy requirements.Lead the response to personal data breaches, including assessment, containment, remediation, and notification obligations to regulators and data subjects.Ensure effective root cause analysis and drive systemic improvements.Serve as a trusted advisor to first line business areas and other functions, such as Legal, Information Security, HR, Marketing, and Product teams.Review contracts and data privacy clauses in conjunctions with Procurement and Legal teams.Provide expert advice on international data transfers and cross border processing.Develop and deliver privacy training, workshops, and awareness campaigns.Promote a privacy first culture across the organisation.Oversee processes related to data subject rights requests (DSRs), including access, rectification, and erasure requests.Ensure efficient handling of subject rights requests within statutory timelines.Coordinate compliance with applicable data privacy laws and guidance issued by regulators such as the Information Commissioner's Office.Manage responses to regulatory enquiries, investigations, and audits.Develop and maintain policies covering data retention, lawful processing, and international data transfers.Maintain records of processing activities as required under data privacy legislation.Act as a key point of contact with regulators, external auditors, and data subjects where required.Prepare regular reports for senior leadership, risk committees, and the GDPO.Mentor data privacy analysts and privacy specialists.Support the strategic development of the data protection function.Provide management information on a regular basis to demonstrate compliance for relevant business units and highlight any compliance gaps. This includes preparation of monthly KRIs.Horizon scan for changes to data privacy laws / regulations that could impact the business and raise these with the GDPO.Monitor regulatory developments and assess their impact on organisational operations.Working groups - attend and contribute where required.Provide cover for other members of the DP Team as required.Skills and experience required:Strong knowledge of applicable data privacy laws, e.g. UK GDPR, EU GDPR, DPA 2018, PECR/e-Privacy, and relevant industry standards.Proven experience of conducting operational day-to-day data privacy tasks, DPIAs, incident response, and regulatory interactions.Excellent communication, influencing, and stakeholder management skills.Ability to interpret complex legislation and translate into practical business advice.Recognised data privacy qualification is preferrable but not essential, such as CIPP/E, CIPM, CIPT, BCS Data Protection, or equivalent.We offer lots of great benefits! Some of which include:Competitive salary and annual discretionary bonus25 days annual leave plus bank/public holidays, as well as an annual option to buy up to 5 additional days of annual leaveTraining opportunities as well as clearly defined career progressionHealth cash plan - employer funded cover to enable you to claim money back on essential healthcare costs, including dental, optical, physiotherapy and many more. Cover also includes unlimited access to a 24/7 virtual GP serviceAttractive company pension schemeLife assurance - employer funded cover of 4x basic salaryDedicated online benefit portal offering access to saving and lending facilities, financial wellbeing and support services:Salary Finance - access to savings and borrowing through payrollCar Leasing - access to a carbon neutral salary sacrifice car leasing scheme, with an all-inclusive monthly cost covering all charge, taxes, insurance, repairs and maintenance on a range of brand-new vehiclesTravel Loans - interest free loans to help spread the cost of annual travel ticketsCycle to Work - tax efficient bike and cycling equipment worth up to £1,000Health & Wellbeing - discounted gym membership, online virtual workout sessions, online culinary classesOnHand - Giving you the opportunity to be an Eco & Social volunteer via a handy app. Volunteer individually or in groups to get involved in Youth Mentoring, Food Poverty, Homelessness & Elderly help.Employee Assistance Programme - specialist advice and support on issues such as finance, relationships, illness and family issuesFree Domestic & General protection plan - one free plan each year with access to discounted rates of up to 50% on additional plans, including referrals for family and friendsEmployee discounts - with a range of discounts for 100s of online and high street retailersDomestic & General are an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status.Please note that we have a thorough referencing process, which includes criminal record checks.At Domestic & General, we are proud of our 100-year legacy and excited about our future growth plans. We are expanding our horizons, entering new markets and territories internationally and we need your expertise to help us on the journey.
On average it takes 5 minutes to apply for this role. Kick start your career in the online gaming world and experience the very latest in technology and innovation. Do you see yourself as one of those "out of the box thinkers", "Technical masterminds", "Outstanding creatives", or "Mind boggling number crunchers"? If so, we want to welcome you to the Betway family and celebrate what makes you unique! Our global customer base is exploding and we need your skills to support us on this exciting journey! Don't look back and submit your application before the opportunity passes you by. Job title: Senior Data Analyst Department: Analytics & Insights Reporting to: Regional Analytics Manager Who we are We're part of Super Group, the NYSE listed digital gaming company behind some of the world's leading Sports and iGaming brands. At Betway, we're driven by our shared vision to become the global leader in the online sports betting and casino industry. Our people are forward thinking team players who thrive on a collective diversity of skills and backgrounds. Founded in 2006, our teams in Guernsey, London, Malta, Germany, Portugal and Spain are constantly expanding and evolving. Who we're looking for We're on a thrilling journey of growth and innovation, and we need passionate, driven individuals to join us. At Betway, every day is action packed, and we expect you to bring your A game. In return, you'll find a supportive environment where your skills can flourish, and your career can soar. Ready to become a game changer? Supercharge your career with us and be part of something extraordinary. Why we need you We're on a mission to create extraordinary experiences for our customers, and we believe that your unique skills, passion and superdrive will help us achieve our vision. As a Data Analyst you'll be using your skills to unlock the power of our data by finding innovative ways to analyse, organise, integrate, and visualise information. This will empower leaders across the business to make decisions quickly and confidently to stay ahead of the game. What you'll be doing As part of your role, your responsibilities will include: Answering business questions from stakeholders across a wide range of departments Addressing analysis requests and providing actionable insights Building reports/dashboards, models, and proof of concepts Partnering with relevant teams to determine campaign effectiveness using performance data Assisting the marketing team to determine ROI and monetary impact of acquisition efforts Improving the flow of reporting/explanations and rationale; explaining performance to relevant stakeholders Maintain knowledge, expertise, and best practises on a suite of data & BI technologies to promote appropriate adoption with the team Stay up to date on the latest technologies and best practices This job description is not intended to be an exhaustive list of responsibilities. You may be required to complete other reasonable duties to achieve business objectives. Essential skills you'll bring to the table The necessary skills that we require for this role include: Qualified to degree level in a numeric/data prominent discipline or similar At least 5 years work experience in a data analytics or business intelligence role. Experience with Tableau, Power BI, or other data visualisation tools. Demonstrable SQL skills to query complex data sets for the data analysis. Demonstrable analytical and report development abilities Strong communication and presentation skills Ability to convey concepts, analysis, and insights to technical as well as non technical audiences. Ability to develop and sustain relationships with key stakeholders and peers Ability to analyse large amounts of data quickly and accurately Ability to manage a challenging workload, whilst working quickly and precisely under pressure. Passionate about Data Desirable skills you've got up your sleeve It would be great if you also have some of the following skills: Experience of working in online gaming or casino industry Experience of mentoring/coaching junior analysts Knowledge of online casino and sports betting Proficient in Excel or other data analysis tools Experience using Databricks Experience with other BI tools such as Alteryx Experience of using Google Analytics for reporting and analysis (including BigQuery) Should you not hear from us within 2 weeks, please assume your application has not been successful.
07/06/2026
Full time
On average it takes 5 minutes to apply for this role. Kick start your career in the online gaming world and experience the very latest in technology and innovation. Do you see yourself as one of those "out of the box thinkers", "Technical masterminds", "Outstanding creatives", or "Mind boggling number crunchers"? If so, we want to welcome you to the Betway family and celebrate what makes you unique! Our global customer base is exploding and we need your skills to support us on this exciting journey! Don't look back and submit your application before the opportunity passes you by. Job title: Senior Data Analyst Department: Analytics & Insights Reporting to: Regional Analytics Manager Who we are We're part of Super Group, the NYSE listed digital gaming company behind some of the world's leading Sports and iGaming brands. At Betway, we're driven by our shared vision to become the global leader in the online sports betting and casino industry. Our people are forward thinking team players who thrive on a collective diversity of skills and backgrounds. Founded in 2006, our teams in Guernsey, London, Malta, Germany, Portugal and Spain are constantly expanding and evolving. Who we're looking for We're on a thrilling journey of growth and innovation, and we need passionate, driven individuals to join us. At Betway, every day is action packed, and we expect you to bring your A game. In return, you'll find a supportive environment where your skills can flourish, and your career can soar. Ready to become a game changer? Supercharge your career with us and be part of something extraordinary. Why we need you We're on a mission to create extraordinary experiences for our customers, and we believe that your unique skills, passion and superdrive will help us achieve our vision. As a Data Analyst you'll be using your skills to unlock the power of our data by finding innovative ways to analyse, organise, integrate, and visualise information. This will empower leaders across the business to make decisions quickly and confidently to stay ahead of the game. What you'll be doing As part of your role, your responsibilities will include: Answering business questions from stakeholders across a wide range of departments Addressing analysis requests and providing actionable insights Building reports/dashboards, models, and proof of concepts Partnering with relevant teams to determine campaign effectiveness using performance data Assisting the marketing team to determine ROI and monetary impact of acquisition efforts Improving the flow of reporting/explanations and rationale; explaining performance to relevant stakeholders Maintain knowledge, expertise, and best practises on a suite of data & BI technologies to promote appropriate adoption with the team Stay up to date on the latest technologies and best practices This job description is not intended to be an exhaustive list of responsibilities. You may be required to complete other reasonable duties to achieve business objectives. Essential skills you'll bring to the table The necessary skills that we require for this role include: Qualified to degree level in a numeric/data prominent discipline or similar At least 5 years work experience in a data analytics or business intelligence role. Experience with Tableau, Power BI, or other data visualisation tools. Demonstrable SQL skills to query complex data sets for the data analysis. Demonstrable analytical and report development abilities Strong communication and presentation skills Ability to convey concepts, analysis, and insights to technical as well as non technical audiences. Ability to develop and sustain relationships with key stakeholders and peers Ability to analyse large amounts of data quickly and accurately Ability to manage a challenging workload, whilst working quickly and precisely under pressure. Passionate about Data Desirable skills you've got up your sleeve It would be great if you also have some of the following skills: Experience of working in online gaming or casino industry Experience of mentoring/coaching junior analysts Knowledge of online casino and sports betting Proficient in Excel or other data analysis tools Experience using Databricks Experience with other BI tools such as Alteryx Experience of using Google Analytics for reporting and analysis (including BigQuery) Should you not hear from us within 2 weeks, please assume your application has not been successful.
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.
07/06/2026
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.
Data Scientist CarMoney Motherwell, ML1 4UF/Hybrid Salary - Competitive 40 Hours Monday to Friday CarMoney has become one of the UKs fastest growing finance brokers - and we're still growing. Over the years we've come to work with a large panel of lenders and partners, with some big names like Gumtree, Compare the Market, and Motors joining us for the journey. But we're not done growing yet, we're constantly evolving and looking for new people to join our team. We are currently looking for a highly motivated Data Scientist to join the Systems & Data team. This role is critical to supporting our operational performance, lender relationships, and commercial reporting. You will work with large volumes of automotive finance data coming from multiple online platforms and internal systems such as AutoConvert and our in house databases. You will help the business understand performance, maximise lender targets and commission outcomes, automate reporting, and solve data driven problems across the organisation. Key Responsibilities Reporting & Insights Build, maintain, and automate daily, weekly, and monthly performance reports for Directors and senior stakeholders. Produce insights on lender performance, conversion funnels, commissions, and commercial targets. Carry out monthly profitability reviews and highlight actions to maximise revenue. Provide clear summaries of trends, issues, and opportunities based on multi source data sets. Data Management & Data Flows Manage and quality check large datasets from internal systems and external platforms. Understand end to end data flows across systems (AutoConvert, SQL Server, Power BI, Excel, Azure). Ensure data accuracy, completeness, and consistency across reporting tools. Support the automation of manual processes by creating more efficient, scalable data pipelines. Problem Solving & Investigation Investigate data anomalies, broken processes, unexpected performance changes, or lender issues. Work with Analysts, Lender Managers, Sales, and external vendors to identify root causes. Review lender filters, target changes, and decisioning rules to ensure alignment with business strategies. Analyse operational bottlenecks and provide actionable solutions. Data Science & Advanced Analytics (If applicable to candidate) Build predictive insights and statistical models to support performance forecasting and optimisation. Assist in experimentation, A/B testing and analysis of pricing, lender strategies, or process improvements. Support development of decisioning tools, such as credit and risk modelling frameworks. Cross Department Collaboration Work closely with Sales, Lender Management, Marketing, Operations, and Leadership teams. Provide analytical support for new integrations, lender changes, or commercial initiatives. Communicate findings in a clear, structured manner-verbal and written. Daily Tasks Extracting and cleaning data from internal tables and external systems. Updating and automating daily/weekly lender and performance reports. Monitoring lender acceptance and payout performance. Reviewing data to maximise commission, revenue, and lender success rates. Identifying data issues, duplicates, mismatches, or operational errors. Supporting system changes with testing and validation of new data flows. Working with the Data Manager on strategic analytics projects and automation. Essential Skills & Experience Technical Skills Advanced Excel: Lookups, pivot tables, power queries, formulas, dashboards. Azure (preferably): Familiarity with Azure SQL, pipelines, Data Factory, or storage services. Strong SQL: Ability to query, manipulate, join, cleanse, and analyse large tables. Understanding of Data Flows: How data moves through systems, APIs, tables, and reporting layers. Power BI (bonus): Ability to build or update dashboards, measures, and visual reports. Analytical Skills Ability to review large and complex data sets quickly and accurately. Strong problem solving and troubleshooting ability. Comfort working with operational, financial, and commercial datasets. Behavioural Skills Highly organised, with the ability to manage multiple tasks and deadlines. Strong attention to detail and a desire to improve processes. Good communication skills, able to translate data into simple business language. Proactive, curious mindset with a drive for continuous improvement. Desirable Experience Experience in a finance, automotive, or insurance environment. Exposure to commercial performance reporting (e.g., funnels, conversion rates, revenue). Experience with API-driven platforms or lead generation data flows. A background in data science, mathematics, economics, or similar analytical field. Whats in it for you 30 days holiday rising with length of service Internal development opportunities - climb the Ninja ladder! Onsite parking Free tea & coffee and breakfast on a weekend is on us! Daily, weekly, and monthly incentives and the big one . Win a trip abroad! Employee discounts Generous Ninja Referral Scheme Pension & Life Assurance Enhanced maternity & paternity leave Regular giving back days and charity events Access to the Wellbeing Centre - MOT & In house counselling services Colleague events - Family Fun Day, Annual ball, Christmas party - yes we like to have fun! CarMoney is an equal opportunities employer. Everyone is welcome here, as long as you have the drive and passion to succeed, then we would love to hear from you.
07/06/2026
Full time
Data Scientist CarMoney Motherwell, ML1 4UF/Hybrid Salary - Competitive 40 Hours Monday to Friday CarMoney has become one of the UKs fastest growing finance brokers - and we're still growing. Over the years we've come to work with a large panel of lenders and partners, with some big names like Gumtree, Compare the Market, and Motors joining us for the journey. But we're not done growing yet, we're constantly evolving and looking for new people to join our team. We are currently looking for a highly motivated Data Scientist to join the Systems & Data team. This role is critical to supporting our operational performance, lender relationships, and commercial reporting. You will work with large volumes of automotive finance data coming from multiple online platforms and internal systems such as AutoConvert and our in house databases. You will help the business understand performance, maximise lender targets and commission outcomes, automate reporting, and solve data driven problems across the organisation. Key Responsibilities Reporting & Insights Build, maintain, and automate daily, weekly, and monthly performance reports for Directors and senior stakeholders. Produce insights on lender performance, conversion funnels, commissions, and commercial targets. Carry out monthly profitability reviews and highlight actions to maximise revenue. Provide clear summaries of trends, issues, and opportunities based on multi source data sets. Data Management & Data Flows Manage and quality check large datasets from internal systems and external platforms. Understand end to end data flows across systems (AutoConvert, SQL Server, Power BI, Excel, Azure). Ensure data accuracy, completeness, and consistency across reporting tools. Support the automation of manual processes by creating more efficient, scalable data pipelines. Problem Solving & Investigation Investigate data anomalies, broken processes, unexpected performance changes, or lender issues. Work with Analysts, Lender Managers, Sales, and external vendors to identify root causes. Review lender filters, target changes, and decisioning rules to ensure alignment with business strategies. Analyse operational bottlenecks and provide actionable solutions. Data Science & Advanced Analytics (If applicable to candidate) Build predictive insights and statistical models to support performance forecasting and optimisation. Assist in experimentation, A/B testing and analysis of pricing, lender strategies, or process improvements. Support development of decisioning tools, such as credit and risk modelling frameworks. Cross Department Collaboration Work closely with Sales, Lender Management, Marketing, Operations, and Leadership teams. Provide analytical support for new integrations, lender changes, or commercial initiatives. Communicate findings in a clear, structured manner-verbal and written. Daily Tasks Extracting and cleaning data from internal tables and external systems. Updating and automating daily/weekly lender and performance reports. Monitoring lender acceptance and payout performance. Reviewing data to maximise commission, revenue, and lender success rates. Identifying data issues, duplicates, mismatches, or operational errors. Supporting system changes with testing and validation of new data flows. Working with the Data Manager on strategic analytics projects and automation. Essential Skills & Experience Technical Skills Advanced Excel: Lookups, pivot tables, power queries, formulas, dashboards. Azure (preferably): Familiarity with Azure SQL, pipelines, Data Factory, or storage services. Strong SQL: Ability to query, manipulate, join, cleanse, and analyse large tables. Understanding of Data Flows: How data moves through systems, APIs, tables, and reporting layers. Power BI (bonus): Ability to build or update dashboards, measures, and visual reports. Analytical Skills Ability to review large and complex data sets quickly and accurately. Strong problem solving and troubleshooting ability. Comfort working with operational, financial, and commercial datasets. Behavioural Skills Highly organised, with the ability to manage multiple tasks and deadlines. Strong attention to detail and a desire to improve processes. Good communication skills, able to translate data into simple business language. Proactive, curious mindset with a drive for continuous improvement. Desirable Experience Experience in a finance, automotive, or insurance environment. Exposure to commercial performance reporting (e.g., funnels, conversion rates, revenue). Experience with API-driven platforms or lead generation data flows. A background in data science, mathematics, economics, or similar analytical field. Whats in it for you 30 days holiday rising with length of service Internal development opportunities - climb the Ninja ladder! Onsite parking Free tea & coffee and breakfast on a weekend is on us! Daily, weekly, and monthly incentives and the big one . Win a trip abroad! Employee discounts Generous Ninja Referral Scheme Pension & Life Assurance Enhanced maternity & paternity leave Regular giving back days and charity events Access to the Wellbeing Centre - MOT & In house counselling services Colleague events - Family Fun Day, Annual ball, Christmas party - yes we like to have fun! CarMoney is an equal opportunities employer. Everyone is welcome here, as long as you have the drive and passion to succeed, then we would love to hear from you.
The AI Operating System for Private Capital. Capsa AI Private capital funds have to find potential investments, research and analyse them thoroughly, monitor them over time, drive improvements, and decide when to buy and sell. They've got to see through the marketing. They've got to outbid the competition. And they've got to learn from every deal they do. Historically, these processes have run on people, we are building the AI Operating System that will run them in the future. We're focused, ambitious, and obsessed with building a category-defining company. In the last 12 months we've grown ARR 15x, achieved product-market fit with leading multi billion dollar PE firms, and expanded across the US, UK, and Europe. Now we're doubling down: we've raised a large Series A from top tier VC investors to scale the team. We're hiring hyper talented people who want to work at the forefront of AI and revolutionise an industry. At a glance Role: Senior AI Engineer Location: London, UK (Hybrid, in person 4 days per week) Team: Engineering Compensation: Top of market. Competitive base + OTE The role Take what you already know about AI systems, or about building at the frontier, into a category-defining company. A fast track to owning the infrastructure that powers decisions at the world's largest PE firms. You'll design and ship the core AI capabilities that sit at the heart of our platform, working directly alongside our founding engineers and CTO. Whether you've built production LLM systems, designed agentic architectures, or pushed the limits of RAG and reasoning chains, you bring depth most engineers don't have, and the job is to point that depth at problems the industry has never had good tooling for. This isn't a place to maintain someone else's codebase. We hire engineers who want to own things end-to-end from day one, and we give responsibility based on impact, not seniority. Strong execution is the fast track to shaping the technical direction of a high growth AI company, building alongside a founding team that will back your best ideas. The opportunity Build the agent's brain. Design and ship features that give our AI genuine investment expertise, the kind that makes analysts faster and makes partners take notice. Push the architecture forward. Prompts, reasoning chains, agent design. You own the quality and reliability of what the model produces, not just the code that runs it. Stay at the frontier. Evaluate new models, techniques, and research as they drop. When something better exists, you're the one who brings it in. Expand what the agent can see. Integrate new data sources into the loop and increase the depth and breadth of analysis the platform can perform. Keep the codebase clean. Uphold rigorous standards across everything you ship. Tech debt is a tax on velocity, and you don't let it accumulate. Recent projects include Agentic assistant with a finance-focused toolkit and advanced document authoring features Scalable document ingestion and indexing pipeline In house, streaming first agent framework AI-assisted document editor Track record Engineering depth, not just exposure. Four or more years building production software, with meaningful time spent on AI/ML systems at a venture backed startup or top tech firm -not as a side project, as the core of the work. You've shipped things that mattered. Entire features or products taken from ideation to production, with impact you can speak to. If you can't point to what changed because of your work, that's a flag. The right technical toolkit. Strong Python, hands on experience with LLMs (OpenAI, Anthropic, open source), agent frameworks, RAG pipelines, vector databases, and backend infrastructure like FastAPI, Postgres, and ElasticSearch, or close enough that the gaps close fast. Domain curiosity, not just technical ability. You go deep on the problem, not just the implementation. You care about what the product does for the person using it, and that shows in how you build. Comfortable at pace. Fast-moving environments are where you do your best work, not something you tolerate. How you operate Low ego, high ownership. You want to be part of building something that matters more than you want a title that says so. Hungry and resilient. Start up pace is the appeal, not the trade off. Rejection doesn't slow you down. Bias for action over planning theatre. You move with incomplete information and adjust as you go. Genuinely curious about AI. Using it, breaking it, building it into how you work. If this opportunity excites you We'd like to meet you. Initial conversations are direct and substantive, going deep on the work, the team, and what you'd own in the first six months. Capsa AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
07/06/2026
Full time
The AI Operating System for Private Capital. Capsa AI Private capital funds have to find potential investments, research and analyse them thoroughly, monitor them over time, drive improvements, and decide when to buy and sell. They've got to see through the marketing. They've got to outbid the competition. And they've got to learn from every deal they do. Historically, these processes have run on people, we are building the AI Operating System that will run them in the future. We're focused, ambitious, and obsessed with building a category-defining company. In the last 12 months we've grown ARR 15x, achieved product-market fit with leading multi billion dollar PE firms, and expanded across the US, UK, and Europe. Now we're doubling down: we've raised a large Series A from top tier VC investors to scale the team. We're hiring hyper talented people who want to work at the forefront of AI and revolutionise an industry. At a glance Role: Senior AI Engineer Location: London, UK (Hybrid, in person 4 days per week) Team: Engineering Compensation: Top of market. Competitive base + OTE The role Take what you already know about AI systems, or about building at the frontier, into a category-defining company. A fast track to owning the infrastructure that powers decisions at the world's largest PE firms. You'll design and ship the core AI capabilities that sit at the heart of our platform, working directly alongside our founding engineers and CTO. Whether you've built production LLM systems, designed agentic architectures, or pushed the limits of RAG and reasoning chains, you bring depth most engineers don't have, and the job is to point that depth at problems the industry has never had good tooling for. This isn't a place to maintain someone else's codebase. We hire engineers who want to own things end-to-end from day one, and we give responsibility based on impact, not seniority. Strong execution is the fast track to shaping the technical direction of a high growth AI company, building alongside a founding team that will back your best ideas. The opportunity Build the agent's brain. Design and ship features that give our AI genuine investment expertise, the kind that makes analysts faster and makes partners take notice. Push the architecture forward. Prompts, reasoning chains, agent design. You own the quality and reliability of what the model produces, not just the code that runs it. Stay at the frontier. Evaluate new models, techniques, and research as they drop. When something better exists, you're the one who brings it in. Expand what the agent can see. Integrate new data sources into the loop and increase the depth and breadth of analysis the platform can perform. Keep the codebase clean. Uphold rigorous standards across everything you ship. Tech debt is a tax on velocity, and you don't let it accumulate. Recent projects include Agentic assistant with a finance-focused toolkit and advanced document authoring features Scalable document ingestion and indexing pipeline In house, streaming first agent framework AI-assisted document editor Track record Engineering depth, not just exposure. Four or more years building production software, with meaningful time spent on AI/ML systems at a venture backed startup or top tech firm -not as a side project, as the core of the work. You've shipped things that mattered. Entire features or products taken from ideation to production, with impact you can speak to. If you can't point to what changed because of your work, that's a flag. The right technical toolkit. Strong Python, hands on experience with LLMs (OpenAI, Anthropic, open source), agent frameworks, RAG pipelines, vector databases, and backend infrastructure like FastAPI, Postgres, and ElasticSearch, or close enough that the gaps close fast. Domain curiosity, not just technical ability. You go deep on the problem, not just the implementation. You care about what the product does for the person using it, and that shows in how you build. Comfortable at pace. Fast-moving environments are where you do your best work, not something you tolerate. How you operate Low ego, high ownership. You want to be part of building something that matters more than you want a title that says so. Hungry and resilient. Start up pace is the appeal, not the trade off. Rejection doesn't slow you down. Bias for action over planning theatre. You move with incomplete information and adjust as you go. Genuinely curious about AI. Using it, breaking it, building it into how you work. If this opportunity excites you We'd like to meet you. Initial conversations are direct and substantive, going deep on the work, the team, and what you'd own in the first six months. Capsa AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
Established in 2004, OLIVER is the world's first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences. As a part of BrandTech Group, we're at the forefront of leveraging cutting edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision making, empowering our teams to produce innovative and impactful results. Role: Global Director of Social Data Location: London About the role: Weseeka highly accomplished social analytics leader who combines statistical rigour with social native thinking. You've spent 7-10+ years mastering social media measurement across major platforms; you understand algorithms, audience behaviours, and how culture moves online. You're a passionate about quantifying social impact on business as you are interpreting TikTok trends and internet subcultures. You're a strategic thinker who can translate complex data into compelling narratives for senior stakeholders. You're excited to build something - defining frameworks, selecting tech stacks, and establishing best practices that will scale globally. As an in house agency, OLIVER is uniquely positioned alongside brands within their businesses, giving you unparalleled access to drive meaningful measurement that matters. Measurement Vision & Thought Leadership Establish OLIVER/BrandTech Group's definitive POV on social media measurement for modern brands: what matters in 2026 and beyond, how to connect social activity to business outcomes, and what a mature measurement framework looks like. Position our measurement capabilities as a competitive differentiator in new business pitches, translating frameworks into compelling narratives that win clients. Stay ahead of platform evolution, algorithm changes, and emerging methodologies, continuously advancing our practice. Champion the integration of AI and machine learning into analytics workflows - automating data processes, enhancing predictive modelling, enabling real time trend detection, and unlocking creative performance insights at scale. Enterprise Measurement Infrastructure & Products Design and implement a unified measurement system that connects all social accounts we manage globally, creating a single source of truth for social performance and brand impact across the agency. Own the social analytics tech stack - evaluate, select, and manage social listening platforms, analytics tools, dashboarding solutions, and data infrastructure. Dev standardised, scalable products that can be embedded across global studios: Social listening solution that delivers cultural intelligence and brand health insights. Social performance dashboarding product that provides consistent, actionable insights across all client accounts. Build sophisticated measurement frameworks including social specific attribution models, brand lift methodologies, and predictive analytics that connect social touchpoints to awareness, consideration, and conversion. Strategic Advisory & Collaboration Act as trusted advisor to senior clients and internal stakeholders, translating complex social data into strategic recommendations that drive business decisions. Guide clients through measurement maturity evolution - from basic reporting to predictive modeling - building roadmaps that advance their social analytics sophistication. Collaborate cross functionally with creative, strategy, and social studio leads to ensure analytics inform campaign development, creative ideation, and optimisation. Work closely with data experts and leaders across BrandTech Group agencies, while leading analytics talent within the OLIVER network. Team Leadership Recruit, hire, and develop a global team of social data analysts who combine technical excellence with cultural fluency - people who live in the feeds and love social media. Foster a learning culture, mentoring team members on analytics methodologies, measurement frameworks, data storytelling, and client communication. Lead high impact presentations for internal teams and clients, using visualization tools (Tableau, Looker, Power BI) to make dense datasets accessible and inspiring. What you need to be great in this role: Social Analytics Mastery & Platform Expertise 7-10+ years in social media analytics or digital measurement. Deep hands on experience across TikTok, Instagram, Facebook, YouTube, Twitter/X, Snapchat, LinkedIn, and emerging platforms. Expert understanding of algorithms, content formats, audience behaviours, and native analytics. Proven experience with social listening platforms (Sprinklr, Brandwatch, Talkwalker, Pulsar). Social native fluent in internet culture, memes, subcultures, and how trends emerge online. Advanced Measurement & Technical Skills Track record designing measurement frameworks, attribution models, and success metrics aligned to business objectives. Advanced Excel skills. Expert with data visualization tools (Tableau, Looker, Power BI). Experience with multi touch attribution, marketing mix modeling, or statistical approaches for social measurement. Familiarity incorporating AI/ML and predictive analytics into workflows. Strategic Leadership & Client Advisory Exceptional ability to advise senior stakeholders, translating data into business recommendations. Significant experience presenting complex insights with clarity and impact. Track record for building and mentoring analytics teams. Strong cross functional collaboration with creative, strategy, and technology teams. Experience supporting new business development and articulating analytics capabilities in pitch situations. Entrepreneurial Builder & Storyteller Excited to build a practice from the ground up. Strategic thinker who balances vision setting with hands on execution. Intellectually curious and always pushing boundaries. Exceptional communicator who transforms complex datasets into compelling narratives. Results driven, focused on proving measurable impact that drives client success and agency growth. OLIVER, a part of the BrandTech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws. OLIVER has set ambitious environmental goals around sustainability, with science based emissions reduction targets. Collectively, we work toward our mission, embedding sustainability into every department and through every stage of the project lifecycle.
07/06/2026
Full time
Established in 2004, OLIVER is the world's first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences. As a part of BrandTech Group, we're at the forefront of leveraging cutting edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision making, empowering our teams to produce innovative and impactful results. Role: Global Director of Social Data Location: London About the role: Weseeka highly accomplished social analytics leader who combines statistical rigour with social native thinking. You've spent 7-10+ years mastering social media measurement across major platforms; you understand algorithms, audience behaviours, and how culture moves online. You're a passionate about quantifying social impact on business as you are interpreting TikTok trends and internet subcultures. You're a strategic thinker who can translate complex data into compelling narratives for senior stakeholders. You're excited to build something - defining frameworks, selecting tech stacks, and establishing best practices that will scale globally. As an in house agency, OLIVER is uniquely positioned alongside brands within their businesses, giving you unparalleled access to drive meaningful measurement that matters. Measurement Vision & Thought Leadership Establish OLIVER/BrandTech Group's definitive POV on social media measurement for modern brands: what matters in 2026 and beyond, how to connect social activity to business outcomes, and what a mature measurement framework looks like. Position our measurement capabilities as a competitive differentiator in new business pitches, translating frameworks into compelling narratives that win clients. Stay ahead of platform evolution, algorithm changes, and emerging methodologies, continuously advancing our practice. Champion the integration of AI and machine learning into analytics workflows - automating data processes, enhancing predictive modelling, enabling real time trend detection, and unlocking creative performance insights at scale. Enterprise Measurement Infrastructure & Products Design and implement a unified measurement system that connects all social accounts we manage globally, creating a single source of truth for social performance and brand impact across the agency. Own the social analytics tech stack - evaluate, select, and manage social listening platforms, analytics tools, dashboarding solutions, and data infrastructure. Dev standardised, scalable products that can be embedded across global studios: Social listening solution that delivers cultural intelligence and brand health insights. Social performance dashboarding product that provides consistent, actionable insights across all client accounts. Build sophisticated measurement frameworks including social specific attribution models, brand lift methodologies, and predictive analytics that connect social touchpoints to awareness, consideration, and conversion. Strategic Advisory & Collaboration Act as trusted advisor to senior clients and internal stakeholders, translating complex social data into strategic recommendations that drive business decisions. Guide clients through measurement maturity evolution - from basic reporting to predictive modeling - building roadmaps that advance their social analytics sophistication. Collaborate cross functionally with creative, strategy, and social studio leads to ensure analytics inform campaign development, creative ideation, and optimisation. Work closely with data experts and leaders across BrandTech Group agencies, while leading analytics talent within the OLIVER network. Team Leadership Recruit, hire, and develop a global team of social data analysts who combine technical excellence with cultural fluency - people who live in the feeds and love social media. Foster a learning culture, mentoring team members on analytics methodologies, measurement frameworks, data storytelling, and client communication. Lead high impact presentations for internal teams and clients, using visualization tools (Tableau, Looker, Power BI) to make dense datasets accessible and inspiring. What you need to be great in this role: Social Analytics Mastery & Platform Expertise 7-10+ years in social media analytics or digital measurement. Deep hands on experience across TikTok, Instagram, Facebook, YouTube, Twitter/X, Snapchat, LinkedIn, and emerging platforms. Expert understanding of algorithms, content formats, audience behaviours, and native analytics. Proven experience with social listening platforms (Sprinklr, Brandwatch, Talkwalker, Pulsar). Social native fluent in internet culture, memes, subcultures, and how trends emerge online. Advanced Measurement & Technical Skills Track record designing measurement frameworks, attribution models, and success metrics aligned to business objectives. Advanced Excel skills. Expert with data visualization tools (Tableau, Looker, Power BI). Experience with multi touch attribution, marketing mix modeling, or statistical approaches for social measurement. Familiarity incorporating AI/ML and predictive analytics into workflows. Strategic Leadership & Client Advisory Exceptional ability to advise senior stakeholders, translating data into business recommendations. Significant experience presenting complex insights with clarity and impact. Track record for building and mentoring analytics teams. Strong cross functional collaboration with creative, strategy, and technology teams. Experience supporting new business development and articulating analytics capabilities in pitch situations. Entrepreneurial Builder & Storyteller Excited to build a practice from the ground up. Strategic thinker who balances vision setting with hands on execution. Intellectually curious and always pushing boundaries. Exceptional communicator who transforms complex datasets into compelling narratives. Results driven, focused on proving measurable impact that drives client success and agency growth. OLIVER, a part of the BrandTech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws. OLIVER has set ambitious environmental goals around sustainability, with science based emissions reduction targets. Collectively, we work toward our mission, embedding sustainability into every department and through every stage of the project lifecycle.
Meet the team! This role is embedded within either the B2B or Customer Care domain and is part of Preply's Data Chapter. You will work closely with directors, operations leaders, and cross-functional partners across finance and product teams, while collaborating with data analysts, data scientists, and analytics engineers to strengthen analytical foundations and business impact. What you'll be doing: You will partner with senior stakeholders in Business and Operations teams to proactively identify where new analyses, metrics, or frameworks can unlock improvements in retention, revenue, and operational efficiency. Lead high complexity, end to end analytical initiatives, from ambiguous problem framing to business impact, uncovering root causes and hidden drivers behind key performance metrics such as revenue retention, LTV, churn, utilization, operational metrics, and cost efficiency. Design and validate KPI frameworks to ensure consistency, reliability, and cross team alignment; clarify trade offs in definitions and measurement logic across Operations, Finance, Marketing, and Product. Design executive ready storytelling and structured presentations that align stakeholders around shared goals, timelines, and trade offs. Embed analytics into daily workflows by partnering with business and operational leaders to integrate dashboards, forecasting, and reporting into decision making processes. Translate insights into strategic decisions, clearly articulating what was observed, why it matters, opportunity cost, and what action should follow, influencing roadmap, prioritisation, and resource allocation. What you need to succeed: 5+ years of experience in analytics roles (Business, Product, Growth, B2B, or Operations), with demonstrated ownership of KPI frameworks and measurable impact on retention, revenue, or efficiency. Strong business acumen and strategic thinking, with the ability to connect analytical insights to financial impact, opportunity cost, and roadmap prioritisation. Strong SQL skills with the ability to independently build and optimise complex queries. Deep understanding of retention and performance metrics (e.g. revenue retention, LTV, churn, utilization, operational metrics, and cost efficiency) and the ability to validate KPI definitions and reporting logic across teams. Proven ability to lead cross functional analytical projects end to end. Experience influencing Senior stakeholders, acting as a thought partner to Business, Operations, Finance, Marketing, or Product; comfortable clarifying trade offs in metrics, accuracy, speed, and resource allocation. Structured, rigorous analytical thinking with high attention to detail. Experience improving metric definitions or analytical data models. Nice to have: Experience in marketplace, subscription, or SaaS businesses. Exposure to B2B revenue models or customer support operations. Hands on experience with Looker and Snowflake (experience with BI and SQL databases a must). 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!). 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.
06/06/2026
Full time
Meet the team! This role is embedded within either the B2B or Customer Care domain and is part of Preply's Data Chapter. You will work closely with directors, operations leaders, and cross-functional partners across finance and product teams, while collaborating with data analysts, data scientists, and analytics engineers to strengthen analytical foundations and business impact. What you'll be doing: You will partner with senior stakeholders in Business and Operations teams to proactively identify where new analyses, metrics, or frameworks can unlock improvements in retention, revenue, and operational efficiency. Lead high complexity, end to end analytical initiatives, from ambiguous problem framing to business impact, uncovering root causes and hidden drivers behind key performance metrics such as revenue retention, LTV, churn, utilization, operational metrics, and cost efficiency. Design and validate KPI frameworks to ensure consistency, reliability, and cross team alignment; clarify trade offs in definitions and measurement logic across Operations, Finance, Marketing, and Product. Design executive ready storytelling and structured presentations that align stakeholders around shared goals, timelines, and trade offs. Embed analytics into daily workflows by partnering with business and operational leaders to integrate dashboards, forecasting, and reporting into decision making processes. Translate insights into strategic decisions, clearly articulating what was observed, why it matters, opportunity cost, and what action should follow, influencing roadmap, prioritisation, and resource allocation. What you need to succeed: 5+ years of experience in analytics roles (Business, Product, Growth, B2B, or Operations), with demonstrated ownership of KPI frameworks and measurable impact on retention, revenue, or efficiency. Strong business acumen and strategic thinking, with the ability to connect analytical insights to financial impact, opportunity cost, and roadmap prioritisation. Strong SQL skills with the ability to independently build and optimise complex queries. Deep understanding of retention and performance metrics (e.g. revenue retention, LTV, churn, utilization, operational metrics, and cost efficiency) and the ability to validate KPI definitions and reporting logic across teams. Proven ability to lead cross functional analytical projects end to end. Experience influencing Senior stakeholders, acting as a thought partner to Business, Operations, Finance, Marketing, or Product; comfortable clarifying trade offs in metrics, accuracy, speed, and resource allocation. Structured, rigorous analytical thinking with high attention to detail. Experience improving metric definitions or analytical data models. Nice to have: Experience in marketplace, subscription, or SaaS businesses. Exposure to B2B revenue models or customer support operations. Hands on experience with Looker and Snowflake (experience with BI and SQL databases a must). 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!). 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.
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. What You'll Do As a Senior Analyst - BCG Vantage on our Topic Activation path within BCG's Technology, Media, and Telecommunications (TMT) practice area you will work in a growing global team, providing insights to our Hardware clients, while working together with our case teams and proposal teams to bring in data driven insights, knowledge assets and expert advisory. You'll serve as a thought partner and content expert to case teams and topic/sector leaders, helping structure and solve complex issues. You will support commercialization efforts for the sector, working closely 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. YOU'RE GOOD AT Working on client projects as part of case team and proposal teams, solving complex client problems through relevant analytical approaches and customized solutions for our clients in the Datacenter/Hardware industry. Bringing valuable industry experiences and insights in your specialized areas of expertise, for example, such as Data Center, Hardware devices, Supply Chain, R&D assessment, go to market excellence, pricing, operations and other relevant topics in the sector Communicating with clients, senior stakeholders and case teams, demonstrating the ability to engage your audience effectively while demonstrating the ability to translate technical insights and complex context into actionable business strategies Driving the productization and automation of strategic offerings and knowledge assets, building and maintaining proprietary databases and tools empowered by AI, accelerating the deliverables and answering critical questions in unique client context. Ability to use GenAI tools is a must Working collaboratively and effectively in a group dynamic often virtual, proficient in agile ways of working Being flexible and bringing a curious and creative mindset, open to new things and able to propose innovative ideas Navigating complexity and ambiguity What You'll Bring 2+ years of consulting experience in relevant Datacenter/Hardware industry required; candidates with consulting experience strongly preferred In lieu of consulting experience, 3+ years minimum consulting experience required; 4-6+ years of industry experience in strategy strongly preferred Bachelor's Degree required (advanced degree preferred). Major in Electronics/Electrical/Computer Science Engineering preferred Strong data analytics skills and proficient with Tableau, Alteryx, SQL or Python Strong business acumen and problem solving capabilities Strong written and verbal communication skills Fluency in English Outstanding interpersonal and communication skills to interact with internal and external stakeholder while working in a global collaborative team environment Advanced data analytics skills and proficient with Tableau, Alteryx, SQL or Python Who You'll Work With As a Senior Analyst - BCG Vantage on our Topic Activation path, 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 of 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 Equal Opportunity Employer 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.
06/06/2026
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. What You'll Do As a Senior Analyst - BCG Vantage on our Topic Activation path within BCG's Technology, Media, and Telecommunications (TMT) practice area you will work in a growing global team, providing insights to our Hardware clients, while working together with our case teams and proposal teams to bring in data driven insights, knowledge assets and expert advisory. You'll serve as a thought partner and content expert to case teams and topic/sector leaders, helping structure and solve complex issues. You will support commercialization efforts for the sector, working closely 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. YOU'RE GOOD AT Working on client projects as part of case team and proposal teams, solving complex client problems through relevant analytical approaches and customized solutions for our clients in the Datacenter/Hardware industry. Bringing valuable industry experiences and insights in your specialized areas of expertise, for example, such as Data Center, Hardware devices, Supply Chain, R&D assessment, go to market excellence, pricing, operations and other relevant topics in the sector Communicating with clients, senior stakeholders and case teams, demonstrating the ability to engage your audience effectively while demonstrating the ability to translate technical insights and complex context into actionable business strategies Driving the productization and automation of strategic offerings and knowledge assets, building and maintaining proprietary databases and tools empowered by AI, accelerating the deliverables and answering critical questions in unique client context. Ability to use GenAI tools is a must Working collaboratively and effectively in a group dynamic often virtual, proficient in agile ways of working Being flexible and bringing a curious and creative mindset, open to new things and able to propose innovative ideas Navigating complexity and ambiguity What You'll Bring 2+ years of consulting experience in relevant Datacenter/Hardware industry required; candidates with consulting experience strongly preferred In lieu of consulting experience, 3+ years minimum consulting experience required; 4-6+ years of industry experience in strategy strongly preferred Bachelor's Degree required (advanced degree preferred). Major in Electronics/Electrical/Computer Science Engineering preferred Strong data analytics skills and proficient with Tableau, Alteryx, SQL or Python Strong business acumen and problem solving capabilities Strong written and verbal communication skills Fluency in English Outstanding interpersonal and communication skills to interact with internal and external stakeholder while working in a global collaborative team environment Advanced data analytics skills and proficient with Tableau, Alteryx, SQL or Python Who You'll Work With As a Senior Analyst - BCG Vantage on our Topic Activation path, 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 of 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 Equal Opportunity Employer 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.
As a Senior Software Product Analyst, you will be responsible for identifying improvements, defining requirements, and liaising with multiple teams to deliver positive changes to the marketing function. Full-time Closes 01/07/2026 The Marketing function is essential to our on-going success, influencing every stage of the customer journey. This role requires a dynamic individual who can engage with teams at all levels and functions, bringing them together with a common goal to deliver outstanding results. You will apply your knowledge of our customers, regulatory requirements and the technology stack to drive change and deliver value. In our fast-paced and evolving environment, initiative, context switching and data-driven decision-making are vital. You will have a deep understanding of CRM technologies to support the continuous improvement of our direct-to-customer marketing across all touchpoints. This role is eligible for inclusion in the Company's hybrid working from home policy. Preferred Skills and Experience Experience working within product management. Experience in Marketing Technology (MarTech), specialising in Customer Relationship Management (CRM). Comfortable working with internally built and third-party technologies including CDPs and CEPs. Demonstrable experience of product launches and continuous improvement that achieves Business objectives. Strong understanding of product lifecycles, methodologies, and agile frameworks. Strategic thinking and the ability to translate Business goals into achievable product plans. Comfortable working in a fast-paced environment, multi-tasking and working with ambiguity and change. Good knowledge and understanding of the gambling industry. What you will be doing Supporting marketing in the key areas, either problem solving or delivering new capability. Conducting market research, competitor analysis and customer trend analysis using internal and external data points. Leading the end-to-end product development lifecycle from ideation to launch. Producing detailed requirements that enable the development teams to deliver what is required. Prioritising your work stack and reviewing it regularly to ensure timely delivery and release of value, as well as defining what success looks like for your products and initiatives. Running trials to ascertain value. Building strong relationships across internal and external stakeholders to ensure complete alignment of product initiatives that meet needs, whilst leading cross functional sessions to align outcomes. Challenging decisions, requirements and understandings as needed so all viewpoints are considered. Updating key stakeholders regularly on plans. Bonus Eye care and Flu Vaccinations Life Assurance
06/06/2026
Full time
As a Senior Software Product Analyst, you will be responsible for identifying improvements, defining requirements, and liaising with multiple teams to deliver positive changes to the marketing function. Full-time Closes 01/07/2026 The Marketing function is essential to our on-going success, influencing every stage of the customer journey. This role requires a dynamic individual who can engage with teams at all levels and functions, bringing them together with a common goal to deliver outstanding results. You will apply your knowledge of our customers, regulatory requirements and the technology stack to drive change and deliver value. In our fast-paced and evolving environment, initiative, context switching and data-driven decision-making are vital. You will have a deep understanding of CRM technologies to support the continuous improvement of our direct-to-customer marketing across all touchpoints. This role is eligible for inclusion in the Company's hybrid working from home policy. Preferred Skills and Experience Experience working within product management. Experience in Marketing Technology (MarTech), specialising in Customer Relationship Management (CRM). Comfortable working with internally built and third-party technologies including CDPs and CEPs. Demonstrable experience of product launches and continuous improvement that achieves Business objectives. Strong understanding of product lifecycles, methodologies, and agile frameworks. Strategic thinking and the ability to translate Business goals into achievable product plans. Comfortable working in a fast-paced environment, multi-tasking and working with ambiguity and change. Good knowledge and understanding of the gambling industry. What you will be doing Supporting marketing in the key areas, either problem solving or delivering new capability. Conducting market research, competitor analysis and customer trend analysis using internal and external data points. Leading the end-to-end product development lifecycle from ideation to launch. Producing detailed requirements that enable the development teams to deliver what is required. Prioritising your work stack and reviewing it regularly to ensure timely delivery and release of value, as well as defining what success looks like for your products and initiatives. Running trials to ascertain value. Building strong relationships across internal and external stakeholders to ensure complete alignment of product initiatives that meet needs, whilst leading cross functional sessions to align outcomes. Challenging decisions, requirements and understandings as needed so all viewpoints are considered. Updating key stakeholders regularly on plans. Bonus Eye care and Flu Vaccinations Life Assurance
Building the Future of Crypto Our Krakenites are a world class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology. What makes us different? Kraken is a mission focused company rooted in crypto values. As a Krakenite, you'll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken's focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here. As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry leading security, crypto education, and world class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures. Become a Krakenite and build the future of crypto! Proof of work The team The Growth Engineering team builds the experiences that connect people to our ecosystem for the first time - and keeps them coming back. We design and ship the systems behind our marketing funnels, signup and KYC flows, and the key engagement features that help new users fund their accounts and explore our products. It's a team with direct influence on company growth, global reach, and user engagement at scale. Our products serve millions of users globally. How We Work We give engineers ownership and trust them to ship high impact work with craftsmanship and accountability. We move quickly, experiment often, and learn fast from data and feedback. We work asynchronously across time zones, supporting each other with open communication and shared goals. Why This Role Matters Every feature you build will have a visible impact on how people discover, trust, and engage with our products globally. The Growth Engineering team operates at the intersection of product, marketing, and infrastructure - turning ideas into measurable results. If you're an engineer who enjoys solving business problems through code and believes engineering excellence drives growth, this role is built for you. The opportunity As a Senior Software Engineer within Growth Product team, you'll take on complex, high impact problems that blend product thinking and engineering excellence. You'll work across web and mobile platforms, collaborating with design, data, and product teams to deliver features that drive measurable business outcomes. This is an ideal role for engineers who use their technical skills to create real world impact - translating high level business goals into engineering solutions that improve activation, retention, and monetization worldwide. Partner with product managers, designers, and analysts to identify growth opportunities and turn them into high quality, data driven engineering solutions. Implement reusable services and components that power marketing campaigns, onboarding, KYC, and first funding experiences across web and mobile. Collaborate on distributed systems that handle large volumes of global traffic while maintaining high performance and reliability. Participate in design and architecture discussions, balancing user impact, scalability, and maintainability. Measure, experiment, and iterate - using data and experimentation frameworks to understand what drives user behavior. Uphold and improve engineering standards, performance, and security practices across the stack. Skills you should HODL 5+ years of software engineering experience, including building and maintaining production systems at scale. Proficiency in building full stack applications using one of the following: TypeScript, Rust, Go, Python, or Ruby, and React or React Native. Understanding of distributed systems, performance optimization, debugging, and secure software design. Familiarity with infrastructure and tooling such as Docker, Kubernetes, Terraform, MySQL/MariaDB, Redis, or GitLab CI/CD. A product mindset - you care about how your work moves key metrics, not just about the code itself. Ability to operate autonomously in a globally distributed, remote first environment. Nice to haves Experience with A/B testing, analytics instrumentation, or experimentation platforms. Background in growth engineering, user funnels, lifecycle, or conversion optimization. Familiarity with data analysis tools or experimentation frameworks. This job is accepting ongoing applications and there is no application deadline. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto! As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind. Whether that's based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
06/06/2026
Full time
Building the Future of Crypto Our Krakenites are a world class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology. What makes us different? Kraken is a mission focused company rooted in crypto values. As a Krakenite, you'll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken's focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here. As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry leading security, crypto education, and world class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures. Become a Krakenite and build the future of crypto! Proof of work The team The Growth Engineering team builds the experiences that connect people to our ecosystem for the first time - and keeps them coming back. We design and ship the systems behind our marketing funnels, signup and KYC flows, and the key engagement features that help new users fund their accounts and explore our products. It's a team with direct influence on company growth, global reach, and user engagement at scale. Our products serve millions of users globally. How We Work We give engineers ownership and trust them to ship high impact work with craftsmanship and accountability. We move quickly, experiment often, and learn fast from data and feedback. We work asynchronously across time zones, supporting each other with open communication and shared goals. Why This Role Matters Every feature you build will have a visible impact on how people discover, trust, and engage with our products globally. The Growth Engineering team operates at the intersection of product, marketing, and infrastructure - turning ideas into measurable results. If you're an engineer who enjoys solving business problems through code and believes engineering excellence drives growth, this role is built for you. The opportunity As a Senior Software Engineer within Growth Product team, you'll take on complex, high impact problems that blend product thinking and engineering excellence. You'll work across web and mobile platforms, collaborating with design, data, and product teams to deliver features that drive measurable business outcomes. This is an ideal role for engineers who use their technical skills to create real world impact - translating high level business goals into engineering solutions that improve activation, retention, and monetization worldwide. Partner with product managers, designers, and analysts to identify growth opportunities and turn them into high quality, data driven engineering solutions. Implement reusable services and components that power marketing campaigns, onboarding, KYC, and first funding experiences across web and mobile. Collaborate on distributed systems that handle large volumes of global traffic while maintaining high performance and reliability. Participate in design and architecture discussions, balancing user impact, scalability, and maintainability. Measure, experiment, and iterate - using data and experimentation frameworks to understand what drives user behavior. Uphold and improve engineering standards, performance, and security practices across the stack. Skills you should HODL 5+ years of software engineering experience, including building and maintaining production systems at scale. Proficiency in building full stack applications using one of the following: TypeScript, Rust, Go, Python, or Ruby, and React or React Native. Understanding of distributed systems, performance optimization, debugging, and secure software design. Familiarity with infrastructure and tooling such as Docker, Kubernetes, Terraform, MySQL/MariaDB, Redis, or GitLab CI/CD. A product mindset - you care about how your work moves key metrics, not just about the code itself. Ability to operate autonomously in a globally distributed, remote first environment. Nice to haves Experience with A/B testing, analytics instrumentation, or experimentation platforms. Background in growth engineering, user funnels, lifecycle, or conversion optimization. Familiarity with data analysis tools or experimentation frameworks. This job is accepting ongoing applications and there is no application deadline. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto! As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind. Whether that's based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
Ernst & Young Advisory Services Sdn Bhd
Manchester, Lancashire
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Location : Manchester Position Overview We are seeking a highly skilled AI Engineer with proven expertise in developing and deploying advanced machine learning and large language model (LLM) solutions that drive measurable business impact. This role requires hands on experience building AI models and automation pathways across diverse use cases including finance forecasting, energy optimization, predictive maintenance, supply chain planning, and commercial transformation, leveraging modern cloud based AI platforms. Develop, and deploy end-to-end machine learning models for complex business problems across forecasting, optimization, and prediction domains Build and fine-tune large language models (LLMs) for enterprise applications including document intelligence, conversational AI, and decision support systems Deep understanding of solving data science and AI enabled problems in supply chain, finance, commercial or operations domain or AI agents with reasoning capabilities using LLMs Adapt to a wide range of technical challenges across technologies to design a solution applicable to the business issue Translate business requirements into technical AI/ML features, model selection, architecture decisions Conduct exploratory data analysis and communicate insights Collaborate with data engineers, architects, and business analysts on integrated solutions Build feature engineering pipelines and automated data preparation workflows Design AI solutions for commercial transformation including pricing optimization, customer segmentation, and revenue management Develop scalable AI/ML pipelines on Databricks, Azure Machine Learning, and/or Snowflake platforms Contribute to proposals and technical assessments for new opportunities and internal knowledge transfer Essential Qualifications Degree or equivalent certification in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field Proven experience building and implementing LLM-based solutions (GPT, Claude, Llama, Mistral, or similar) Hands on experience with at least one of: Databricks (MLflow, AutoML), Azure Machine Learning, or Snowflake (Snowpark ML, Cortex) Understanding of natural language processing, computer vision, and recommender systems Strong programming skills in Python, SQL and proficiency with ML libraries (scikit learn, pandas, NumPy, XGBoost, LightGBM) Strong analytical and problem solving mindset with attention to detail Ability to work independently and drive projects from ambiguous requirements Story telling with data and insights from the outputs Consulting skills, supporting development of presentation decks and communication Preferred Criteria Experience or knowledge covering at least one of the following areas: Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modelling, time series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine tuning techniques Familiarity with distributed computing frameworks (eg Spark) Knowledge of graph neural networks, reinforcement learning, or causal inference Experience with AI governance, model risk management, and regulatory compliance Experience using Pro code and Low code tools such as LangGraph, AutoGen, Semantic Kernal and MS CoPilot Experience in any of the following: Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimization: Load forecasting, grid optimization, demand response, renewable energy prediction Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life estimation Supply Chain Planning: Demand forecasting, inventory optimisation, logistics planning, procurement analytics Commercial Transformation: Price optimisation, customer lifetime value, churn prediction, marketing mix modelling Preferred Qualifications Certifications such as: Databricks Certified Machine Learning Professional Azure AI Engineer Associate or Data Scientist Associate SnowPro Advanced: Data Scientist AWS Certified Machine Learning - Specialty EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
06/06/2026
Full time
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Location : Manchester Position Overview We are seeking a highly skilled AI Engineer with proven expertise in developing and deploying advanced machine learning and large language model (LLM) solutions that drive measurable business impact. This role requires hands on experience building AI models and automation pathways across diverse use cases including finance forecasting, energy optimization, predictive maintenance, supply chain planning, and commercial transformation, leveraging modern cloud based AI platforms. Develop, and deploy end-to-end machine learning models for complex business problems across forecasting, optimization, and prediction domains Build and fine-tune large language models (LLMs) for enterprise applications including document intelligence, conversational AI, and decision support systems Deep understanding of solving data science and AI enabled problems in supply chain, finance, commercial or operations domain or AI agents with reasoning capabilities using LLMs Adapt to a wide range of technical challenges across technologies to design a solution applicable to the business issue Translate business requirements into technical AI/ML features, model selection, architecture decisions Conduct exploratory data analysis and communicate insights Collaborate with data engineers, architects, and business analysts on integrated solutions Build feature engineering pipelines and automated data preparation workflows Design AI solutions for commercial transformation including pricing optimization, customer segmentation, and revenue management Develop scalable AI/ML pipelines on Databricks, Azure Machine Learning, and/or Snowflake platforms Contribute to proposals and technical assessments for new opportunities and internal knowledge transfer Essential Qualifications Degree or equivalent certification in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field Proven experience building and implementing LLM-based solutions (GPT, Claude, Llama, Mistral, or similar) Hands on experience with at least one of: Databricks (MLflow, AutoML), Azure Machine Learning, or Snowflake (Snowpark ML, Cortex) Understanding of natural language processing, computer vision, and recommender systems Strong programming skills in Python, SQL and proficiency with ML libraries (scikit learn, pandas, NumPy, XGBoost, LightGBM) Strong analytical and problem solving mindset with attention to detail Ability to work independently and drive projects from ambiguous requirements Story telling with data and insights from the outputs Consulting skills, supporting development of presentation decks and communication Preferred Criteria Experience or knowledge covering at least one of the following areas: Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modelling, time series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine tuning techniques Familiarity with distributed computing frameworks (eg Spark) Knowledge of graph neural networks, reinforcement learning, or causal inference Experience with AI governance, model risk management, and regulatory compliance Experience using Pro code and Low code tools such as LangGraph, AutoGen, Semantic Kernal and MS CoPilot Experience in any of the following: Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimization: Load forecasting, grid optimization, demand response, renewable energy prediction Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life estimation Supply Chain Planning: Demand forecasting, inventory optimisation, logistics planning, procurement analytics Commercial Transformation: Price optimisation, customer lifetime value, churn prediction, marketing mix modelling Preferred Qualifications Certifications such as: Databricks Certified Machine Learning Professional Azure AI Engineer Associate or Data Scientist Associate SnowPro Advanced: Data Scientist AWS Certified Machine Learning - Specialty EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
Head of Business Intelligence, Veeqo Partnerships & Intelligence We are looking for an experienced Business Intelligence Engineer to play a pivotal role in owning complex analytics and serving as a organizational thought leader for BIEs, BAs, and business users on the team to help drive the growth of Veeqo. Key job responsibilities As a Head of Business Intelligence, you will be responsible for leading and mentoring a team of business intelligence engineers and business analysts to deliver high-quality work, ensuring business needs are effectively communicated and met. You will be responsible for conducting data analysis and deep dives to determine actionable insights, trends, and patterns to help inform and drive decision-making. You will collaborate with various teams across Veeqo, including Product, Marketing, Sales, Seller Support, and Finance to understand their needs and provide business analytic solutions and recommendations. You will be managing & prioritizing multiple projects simultaneously across the team, ensuring that they align with Veeqo's strategic priorities. About the team Veeqo () - a startup which was acquired by Amazon in 2021 - is Amazon's recommended multichannel inventory and shipping solution for SMB sellers. Within only one year post-acquisition, Veeqo carried an S-Team goal and publicly launched at Accelerate 2022. Our vision is to become the back office hub for SMB e commerce sellers, for both their on Amazon and off Amazon business. We help sellers manage fulfillment operations across all their online stores, and ship orders to customers at the lowest cost and in the fastest possible time. Basic Qualifications Experience programming to extract, transform and clean large (multi TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of information retrieval, data science, machine learning and data mining Experience working directly with business stakeholders to translate between data and business needs Experience with SQL Experience with data visualization using Tableau, Quicksight, or similar tools Experience in the data/BI space Preferred Qualifications Experience managing, analyzing and communicating results to senior leadership Experience with AWS technologies 5+ years of SQL experience Equal Opportunity Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
06/06/2026
Full time
Head of Business Intelligence, Veeqo Partnerships & Intelligence We are looking for an experienced Business Intelligence Engineer to play a pivotal role in owning complex analytics and serving as a organizational thought leader for BIEs, BAs, and business users on the team to help drive the growth of Veeqo. Key job responsibilities As a Head of Business Intelligence, you will be responsible for leading and mentoring a team of business intelligence engineers and business analysts to deliver high-quality work, ensuring business needs are effectively communicated and met. You will be responsible for conducting data analysis and deep dives to determine actionable insights, trends, and patterns to help inform and drive decision-making. You will collaborate with various teams across Veeqo, including Product, Marketing, Sales, Seller Support, and Finance to understand their needs and provide business analytic solutions and recommendations. You will be managing & prioritizing multiple projects simultaneously across the team, ensuring that they align with Veeqo's strategic priorities. About the team Veeqo () - a startup which was acquired by Amazon in 2021 - is Amazon's recommended multichannel inventory and shipping solution for SMB sellers. Within only one year post-acquisition, Veeqo carried an S-Team goal and publicly launched at Accelerate 2022. Our vision is to become the back office hub for SMB e commerce sellers, for both their on Amazon and off Amazon business. We help sellers manage fulfillment operations across all their online stores, and ship orders to customers at the lowest cost and in the fastest possible time. Basic Qualifications Experience programming to extract, transform and clean large (multi TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of information retrieval, data science, machine learning and data mining Experience working directly with business stakeholders to translate between data and business needs Experience with SQL Experience with data visualization using Tableau, Quicksight, or similar tools Experience in the data/BI space Preferred Qualifications Experience managing, analyzing and communicating results to senior leadership Experience with AWS technologies 5+ years of SQL experience Equal Opportunity Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Senior Account Analytics AnalystLondon (Hybrid) Up to £75,000 + benefits We're looking for a Senior Account Analytics Analyst to join a high-performing analytics team within a digital marketing environment. This role is ideal for someone who combines strong technical analytics capability with commercial thinking and stakeholder management experience. You'll work across multiple client accounts, delivering strategic insights that drive marketing effectiveness and business growth. What you'll be doing: Analysing large-scale online & offline marketing and consumer datasets Delivering strategic insights to improve campaign performance and ROI Supporting and interpreting Marketing Mix Modelling (MMM) outputs Conducting advanced analysis using SQL, Python and/or R Presenting insights and recommendations directly to clients Partnering with cross-functional teams across media, sales, product and account management What we're looking for: 4-6 years' experience in analytics / marketing analytics / data science Strong statistical knowledge (A/B testing, confidence intervals, modelling uncertainty) Hands-on MMM or advanced modelling experience Strong SQL and Python/R capability Experience with Tableau or similar BI tools Understanding of digital advertising, attribution and targeting methods Excellent communication and client-facing skills This is a fantastic opportunity to join a commercially focused analytics team where you'll have real influence across strategy, performance and client delivery. Apply now or get in touch to learn more.
05/06/2026
Full time
Senior Account Analytics AnalystLondon (Hybrid) Up to £75,000 + benefits We're looking for a Senior Account Analytics Analyst to join a high-performing analytics team within a digital marketing environment. This role is ideal for someone who combines strong technical analytics capability with commercial thinking and stakeholder management experience. You'll work across multiple client accounts, delivering strategic insights that drive marketing effectiveness and business growth. What you'll be doing: Analysing large-scale online & offline marketing and consumer datasets Delivering strategic insights to improve campaign performance and ROI Supporting and interpreting Marketing Mix Modelling (MMM) outputs Conducting advanced analysis using SQL, Python and/or R Presenting insights and recommendations directly to clients Partnering with cross-functional teams across media, sales, product and account management What we're looking for: 4-6 years' experience in analytics / marketing analytics / data science Strong statistical knowledge (A/B testing, confidence intervals, modelling uncertainty) Hands-on MMM or advanced modelling experience Strong SQL and Python/R capability Experience with Tableau or similar BI tools Understanding of digital advertising, attribution and targeting methods Excellent communication and client-facing skills This is a fantastic opportunity to join a commercially focused analytics team where you'll have real influence across strategy, performance and client delivery. Apply now or get in touch to learn more.
Rewards and Benefits on Offer. A brand-new role, where you help improve all aspects of the company's sales and marketing teams The company are very open to new ideas to help develop new business opportunities. You will be working in a friendly, fast-moving and dynamic environment. Highly competitive salary on offer. An immediate start date for the right person. Your Next Career Opportunity. Our client is now seeking an experienced marketing data analyst to support the sales and marketing function. This is a great career opportunity to make a genuine and long-term impact on a company that needs your expertise. Your New Role. Responsible for analysing marketing performance data to help a business improve lead generation, customer engagement, campaign effectiveness, and overall commercial performance. Here are the main responsibilities typically involved: Analyse marketing campaign performance across digital channels such as email, social media, PPC, SEO, and websites. Interpret large volumes of customer and sales data to identify trends, opportunities, and areas for improvement. Produce regular reports, dashboards, and KPI analysis for senior management and sales teams. Measure ROI and effectiveness of marketing activity and recommend improvements based on data insights. Support lead generation activity by analysing customer behaviour, conversion rates, and campaign engagement. Manage and maintain CRM and marketing databases, ensuring data accuracy, segmentation, and cleansing. Use tools such as Google Analytics, Excel, CRM platforms, and marketing automation systems. Track website traffic, customer journeys, and user engagement to improve digital performance and user experience. Work closely with sales, marketing, and leadership teams to support commercial decision-making. Identify market trends, competitor activity, and customer insights to help shape future marketing strategy. Develop data-driven recommendations to improve customer acquisition, retention, and brand performance. Ensure compliance with GDPR and data protection regulations when handling customer data. About You. Strong analytical and problem-solving ability Data-driven Previous experience supporting marketing and sales teams to improve Experience with Google Analytics and CRM systems Attention to detail Commercial awareness Strong communication and presentation skills
05/06/2026
Full time
Rewards and Benefits on Offer. A brand-new role, where you help improve all aspects of the company's sales and marketing teams The company are very open to new ideas to help develop new business opportunities. You will be working in a friendly, fast-moving and dynamic environment. Highly competitive salary on offer. An immediate start date for the right person. Your Next Career Opportunity. Our client is now seeking an experienced marketing data analyst to support the sales and marketing function. This is a great career opportunity to make a genuine and long-term impact on a company that needs your expertise. Your New Role. Responsible for analysing marketing performance data to help a business improve lead generation, customer engagement, campaign effectiveness, and overall commercial performance. Here are the main responsibilities typically involved: Analyse marketing campaign performance across digital channels such as email, social media, PPC, SEO, and websites. Interpret large volumes of customer and sales data to identify trends, opportunities, and areas for improvement. Produce regular reports, dashboards, and KPI analysis for senior management and sales teams. Measure ROI and effectiveness of marketing activity and recommend improvements based on data insights. Support lead generation activity by analysing customer behaviour, conversion rates, and campaign engagement. Manage and maintain CRM and marketing databases, ensuring data accuracy, segmentation, and cleansing. Use tools such as Google Analytics, Excel, CRM platforms, and marketing automation systems. Track website traffic, customer journeys, and user engagement to improve digital performance and user experience. Work closely with sales, marketing, and leadership teams to support commercial decision-making. Identify market trends, competitor activity, and customer insights to help shape future marketing strategy. Develop data-driven recommendations to improve customer acquisition, retention, and brand performance. Ensure compliance with GDPR and data protection regulations when handling customer data. About You. Strong analytical and problem-solving ability Data-driven Previous experience supporting marketing and sales teams to improve Experience with Google Analytics and CRM systems Attention to detail Commercial awareness Strong communication and presentation skills
IT Service Desk Administrator (Chewton Mendip - Hybrid) Salary: £28,000 - £32,000 per annum, plus progression, holiday, travel, pension and training. Location: Chewton Mendip - hybrid (remote & office near Bath). Responsibilities: Provide 1st line and some 2nd line support to a variety of businesses. Assist with quoting, invoicing and other administrative tasks. Work with Office 365, Active Directory and Freshworks. Qualifications: Experience in service desk or IT support. Proficient with Windows (desktop and server), Office 365 and Active Directory. We are an equal opportunities company and welcome applications from all suitable candidates. Inside Sales Executive - SaaS (Remote UK) Salary: £35,000 base + OTE (approx £60,000) plus progression, pension. Location: United Kingdom - remote. Key Responsibilities: Proactively prospect and qualify new leads across architecture, engineering and construction. Drive high volume outbound activity to build a strong pipeline. Collaborate with marketing on inbound conversion and with technical teams on solution fit. Required Experience: Proven success in SaaS or IT sales with outbound prospecting and pipeline creation. Commercial understanding of solution led sales cycles, ideally in construction, engineering or manufacturing. Resilience and structure in high activity environments, with focus on targets and revenue. We are an equal opportunities company and welcome applications from all suitable candidates. Level 1 Cyber Security Analyst - LA International Computer Consultants Ltd Salary: Competitively based on experience, with 10 month contract. Location: Bracknell Forest, United Kingdom - permanent. Key Responsibilities: Monitor SIEM tooling to identify potential security threats. Perform initial investigation, triage of alerts and escalation per defined processes. Oversee shift activities, identify and report tool faults, support continuous monitoring. Follow incident management processes for timely response. Skills & Experience: Experience in cyber security or security operations environments. Strong understanding of SIEM tools and alert handling. Technical knowledge of enterprise IT (networks, servers). Ability to lead during shift environment and communicate across technical teams. We welcome applications from all individuals, regardless of background or identity. Hybrid Project Manager / Business Analyst - Client Onboarding (Contract) Location: Real Staffing, London - Permanent (contract duration unspecified). Key Responsibilities: Support, maintain and optimise a large scale enterprise campus network environment. Troubleshoot and resolve network incidents across wired and wireless infrastructure. Collaborate with internal IT and Cyber Security teams for security compliance. Manage core, distribution and access layer networks; assist with upgrades and transformation initiatives. Monitor network performance and ensure high availability. We are an equal opportunities employer and encourage applications from candidates who may not meet every listed requirement. Lead Software Engineer - Winchester (Hybrid) Salary: £75,000 - £85,000 per annum, plus private healthcare, enhanced pension, 4 days per week in office. Location: Winchester - hybrid (onsite and remote). Key Responsibilities: Lead technical direction of a TypeScript based microservices platform on Linux. Develop a large Angular enterprise application for real time dashboards. Design and optimise data models across PostgreSQL, MongoDB, Elasticsearch and Redis. Own CI/CD pipelines and infrastructure across on prem, cloud and hybrid deployments (Kubernetes, Helm, Terraform, Ansible). Mentor onshore and offshore engineers and set technical standards. Required Experience: Strong background in building distributed, microservices based systems. Commercial experience with TypeScript (backend) and Angular (frontend). Experience with multiple databases in performance critical systems. Comfortable operating in Linux heavy, security constrained environments. DevSecOps mindset with CI/CD and IaC exposure. Confidence in influencing technical direction within senior engineering teams. We are an equal opportunities company and welcome applications from all suitable candidates. IT Technician - Hydrachem (Billingshurst, West Sussex) Salary: £27,500 - £32,500 per annum. Location: Billingshurst, West Sussex - full time, permanent. About the Role: Onsite support for hardware, servers, cloud services, firewalls and security, while championing Microsoft 365, SharePoint and Power Apps. Also responsible for building a full onsite IT department. Key Responsibilities: Provide hands on IT support and troubleshooting. Manage servers, network, cloud services and firewalls. Support and train staff on Microsoft 365 and SharePoint. Develop skills in Power Apps and ERP systems. Build and grow the onsite IT team. Required Experience: Experience with Microsoft 365 and SharePoint. Strong IT troubleshooting skills. Knowledge of networks, servers and security. Excellent communication and teamwork skills. Why join us? Key part of a growing, innovative company. Diverse IT responsibilities. Opportunity to shape the onsite IT team. Health and wellbeing programme, free onsite parking. We are an equal opportunities employer. All data will be handled in accordance with GDPR requirements.
05/06/2026
Full time
IT Service Desk Administrator (Chewton Mendip - Hybrid) Salary: £28,000 - £32,000 per annum, plus progression, holiday, travel, pension and training. Location: Chewton Mendip - hybrid (remote & office near Bath). Responsibilities: Provide 1st line and some 2nd line support to a variety of businesses. Assist with quoting, invoicing and other administrative tasks. Work with Office 365, Active Directory and Freshworks. Qualifications: Experience in service desk or IT support. Proficient with Windows (desktop and server), Office 365 and Active Directory. We are an equal opportunities company and welcome applications from all suitable candidates. Inside Sales Executive - SaaS (Remote UK) Salary: £35,000 base + OTE (approx £60,000) plus progression, pension. Location: United Kingdom - remote. Key Responsibilities: Proactively prospect and qualify new leads across architecture, engineering and construction. Drive high volume outbound activity to build a strong pipeline. Collaborate with marketing on inbound conversion and with technical teams on solution fit. Required Experience: Proven success in SaaS or IT sales with outbound prospecting and pipeline creation. Commercial understanding of solution led sales cycles, ideally in construction, engineering or manufacturing. Resilience and structure in high activity environments, with focus on targets and revenue. We are an equal opportunities company and welcome applications from all suitable candidates. Level 1 Cyber Security Analyst - LA International Computer Consultants Ltd Salary: Competitively based on experience, with 10 month contract. Location: Bracknell Forest, United Kingdom - permanent. Key Responsibilities: Monitor SIEM tooling to identify potential security threats. Perform initial investigation, triage of alerts and escalation per defined processes. Oversee shift activities, identify and report tool faults, support continuous monitoring. Follow incident management processes for timely response. Skills & Experience: Experience in cyber security or security operations environments. Strong understanding of SIEM tools and alert handling. Technical knowledge of enterprise IT (networks, servers). Ability to lead during shift environment and communicate across technical teams. We welcome applications from all individuals, regardless of background or identity. Hybrid Project Manager / Business Analyst - Client Onboarding (Contract) Location: Real Staffing, London - Permanent (contract duration unspecified). Key Responsibilities: Support, maintain and optimise a large scale enterprise campus network environment. Troubleshoot and resolve network incidents across wired and wireless infrastructure. Collaborate with internal IT and Cyber Security teams for security compliance. Manage core, distribution and access layer networks; assist with upgrades and transformation initiatives. Monitor network performance and ensure high availability. We are an equal opportunities employer and encourage applications from candidates who may not meet every listed requirement. Lead Software Engineer - Winchester (Hybrid) Salary: £75,000 - £85,000 per annum, plus private healthcare, enhanced pension, 4 days per week in office. Location: Winchester - hybrid (onsite and remote). Key Responsibilities: Lead technical direction of a TypeScript based microservices platform on Linux. Develop a large Angular enterprise application for real time dashboards. Design and optimise data models across PostgreSQL, MongoDB, Elasticsearch and Redis. Own CI/CD pipelines and infrastructure across on prem, cloud and hybrid deployments (Kubernetes, Helm, Terraform, Ansible). Mentor onshore and offshore engineers and set technical standards. Required Experience: Strong background in building distributed, microservices based systems. Commercial experience with TypeScript (backend) and Angular (frontend). Experience with multiple databases in performance critical systems. Comfortable operating in Linux heavy, security constrained environments. DevSecOps mindset with CI/CD and IaC exposure. Confidence in influencing technical direction within senior engineering teams. We are an equal opportunities company and welcome applications from all suitable candidates. IT Technician - Hydrachem (Billingshurst, West Sussex) Salary: £27,500 - £32,500 per annum. Location: Billingshurst, West Sussex - full time, permanent. About the Role: Onsite support for hardware, servers, cloud services, firewalls and security, while championing Microsoft 365, SharePoint and Power Apps. Also responsible for building a full onsite IT department. Key Responsibilities: Provide hands on IT support and troubleshooting. Manage servers, network, cloud services and firewalls. Support and train staff on Microsoft 365 and SharePoint. Develop skills in Power Apps and ERP systems. Build and grow the onsite IT team. Required Experience: Experience with Microsoft 365 and SharePoint. Strong IT troubleshooting skills. Knowledge of networks, servers and security. Excellent communication and teamwork skills. Why join us? Key part of a growing, innovative company. Diverse IT responsibilities. Opportunity to shape the onsite IT team. Health and wellbeing programme, free onsite parking. We are an equal opportunities employer. All data will be handled in accordance with GDPR requirements.
You will be: Content Marketing Supporting and delivering content marketing strategy for clients across a roster ranging from household name brands to scaleups - from editorial planning and narrative development to channel activation and performance measurement Executing integrated content programmes that connect brand, demand and SEO goals, with a sharp eye on how content performs in search and increasingly in LLMs Building content calendars and frameworks that ladder up to commercial outcomes: thought leadership, long-form, social-native, and everything in between Setting up and interrogating analytics (GA4, Search Console, Looker Studio and similar), turning data into clear client-facing stories and sharper content recommendations Working closely with writers, designers, and channel specialists to brief, produce and distribute content that actually lands Advising clients on content effectiveness and how their owned presence supports wider communications objectives Building knowledge of GEO/AEO and helping clients understand how their content performs in AI-generated results Influencer Marketing Supporting and delivering B2B influencer strategy end-to-end: identification, outreach, contracting, briefing, activation and reporting Building and managing relationships with industry voices, subject matter experts, analysts and creators across key verticals Executing influencer programmes that complement content and earned media - from ambassador partnerships and executive social to co-created campaigns Contributing to measurement frameworks that connect influencer activity to brand, reach and pipeline goals Keeping pace with the evolving creator and influencer landscape in B2B, bringing fresh thinking and new formats to clients Managing influencer compliance, disclosure and brand safety with rigour Supporting senior client contacts day-to-day, building trusted relationships and growing your client management skills Contributing to new business pitches and helping develop FoF's growing digital capability Supporting the mentoring of junior team members and sharing best practice in content and influencer What we're looking for A minimum of 3-4 years of digital or B2B/corporate communications experience (previous PR/marketing agency experience preferred but not essential) A solid and growing track record in content marketing and influencer for B2B brands Hands on experience with the modern toolkit: content platforms, social scheduling and analytics tools, influencer discovery platforms (e.g. Traackr, Onalytica, Meltwater) and GA4 A good understanding of the B2B buyer journey and how content and influence shape it Experience supporting thought leadership, personal branding and executive social programmes A confident multi-tasker who is excited and motivated working in a fast-paced environment Comfortable working in a flat-structured, meritocratic environment The basics Hybrid working or Remote working Additional annual leave - increasing by 1 day for each full year served at Fight or Flight (up to a maximum of 30 days) Private medical insurance through Vitality Health Enhanced parental leave package Work internationally (up to 20 days/year) Holiday purchase scheme (up to 5 days/year) Early Friday finish (4:30pm) all year round Annual all-expenses-paid team trip Plenty of team socials! Gifts to celebrate special occasions Regular FoF topics for personal development Personalised 'flight paths' for career progression One thing we absolutely pride ourselves on being is a truly people first company. We are committed to building an environment that is fun,passionateand rewarding. And wecan'twait for others to be part of and add to this fantastic agency.
05/06/2026
Full time
You will be: Content Marketing Supporting and delivering content marketing strategy for clients across a roster ranging from household name brands to scaleups - from editorial planning and narrative development to channel activation and performance measurement Executing integrated content programmes that connect brand, demand and SEO goals, with a sharp eye on how content performs in search and increasingly in LLMs Building content calendars and frameworks that ladder up to commercial outcomes: thought leadership, long-form, social-native, and everything in between Setting up and interrogating analytics (GA4, Search Console, Looker Studio and similar), turning data into clear client-facing stories and sharper content recommendations Working closely with writers, designers, and channel specialists to brief, produce and distribute content that actually lands Advising clients on content effectiveness and how their owned presence supports wider communications objectives Building knowledge of GEO/AEO and helping clients understand how their content performs in AI-generated results Influencer Marketing Supporting and delivering B2B influencer strategy end-to-end: identification, outreach, contracting, briefing, activation and reporting Building and managing relationships with industry voices, subject matter experts, analysts and creators across key verticals Executing influencer programmes that complement content and earned media - from ambassador partnerships and executive social to co-created campaigns Contributing to measurement frameworks that connect influencer activity to brand, reach and pipeline goals Keeping pace with the evolving creator and influencer landscape in B2B, bringing fresh thinking and new formats to clients Managing influencer compliance, disclosure and brand safety with rigour Supporting senior client contacts day-to-day, building trusted relationships and growing your client management skills Contributing to new business pitches and helping develop FoF's growing digital capability Supporting the mentoring of junior team members and sharing best practice in content and influencer What we're looking for A minimum of 3-4 years of digital or B2B/corporate communications experience (previous PR/marketing agency experience preferred but not essential) A solid and growing track record in content marketing and influencer for B2B brands Hands on experience with the modern toolkit: content platforms, social scheduling and analytics tools, influencer discovery platforms (e.g. Traackr, Onalytica, Meltwater) and GA4 A good understanding of the B2B buyer journey and how content and influence shape it Experience supporting thought leadership, personal branding and executive social programmes A confident multi-tasker who is excited and motivated working in a fast-paced environment Comfortable working in a flat-structured, meritocratic environment The basics Hybrid working or Remote working Additional annual leave - increasing by 1 day for each full year served at Fight or Flight (up to a maximum of 30 days) Private medical insurance through Vitality Health Enhanced parental leave package Work internationally (up to 20 days/year) Holiday purchase scheme (up to 5 days/year) Early Friday finish (4:30pm) all year round Annual all-expenses-paid team trip Plenty of team socials! Gifts to celebrate special occasions Regular FoF topics for personal development Personalised 'flight paths' for career progression One thing we absolutely pride ourselves on being is a truly people first company. We are committed to building an environment that is fun,passionateand rewarding. And wecan'twait for others to be part of and add to this fantastic agency.
Data Analyst - Strategic Comms Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4.5 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team As the Research Analyst for the Strategic Communications team, you will build iwoca's evidence base for public policy arguments. You'll become the expert on what iwoca's data can tell us about our impact - on customer outcomes, business survival, pricing, and the wider economy - and translate that into compelling materials for policymakers, journalists, and senior stakeholders. You'll work alongside our comms team and report to the Director of Strategic Communications, with regular interaction with iwoca's executive team. The role sits at the intersection of data, policy, and communications and collaborates with Risk, Product, Operations, Finance, and Investor Relations to extract insights and translate them into materials that shape how iwoca is understood externally. There's a clear career trajectory here. With time, you could build a new research function, or you might discover that you love the communications and become a data-driven PR professional. Either way, you'll have the opportunity to shape the role and take on real responsibility from day one. The responsibilities Extract and analyse data from iwoca's loan book, loss rates, customer outcomes, and pricing distributions to uncover insights that support our public positioning. Build and maintain briefing packs on key topics: business survival rates, pricing, personal guarantees, automation, and regulatory impact. Translate complex data into clear, defensible documents with key statistics, talking points, and visualisations for non-technical audiences. Coordinate with external research partners (e.g. Capital Economics) - preparing data packages, briefing them on our business, and quality-assuring their outputs. Work with Comms to respond rapidly to media or policy inquiries - producing accurate data when inbounds come in. Publish work and write data-driven content for iwoca's website, supporting marketing lead generation, media and investor relations. Support the Comms team on existing data-driven PR initiatives such as our SME Expert Index and Business Hotspots research. Run a quarterly review process with senior stakeholders to identify emerging concerns and commission new analysis. The requirements Comfortable working with raw data in Python or SQL, including cleaning, transforming, and visualising datasets to uncover insights Demonstrates curiosity to use and learn more about AI tools. You'll already be comfortable using AI tools in practical ways to help solve problems, increase productivity and improve quality of work, showing good judgement about when to use them and the ability to explain the reasoning behind that use. Use AI tools to explore data, generate insights, and improve workflows, with a focus on accuracy and analytical rigour. Strong analytical skills with a structured approach to problem-solving - you're curious, methodical, and comfortable getting to the root of a messy or ambiguous question An excellent communicator - you can take complex data and translate it into simple, compelling narratives for colleagues in comms, policy, or the executive team. Self-starting and adaptable - able to work independently in a fast-paced environment where priorities can shift quickly Comfortable moving between strategic thinking and hands-on execution - whether it's investigating a data anomaly or presenting findings to senior leadership Academic or practical experience in a quantitative field, such as Economics, Finance, Product, Maths, Engineering, or Computer Science Previous experience in a role involving data analysis and AI - whether in consulting, policy, finance, journalism, or a research setting. Salary is flexible based on experience. An interest in small businesses and the policy debates around SME finance - you don't need to be an expert, but you should be curious about the space. Nice to have Experience working in or with government, regulators, think tanks, or policy teams Familiarity with economic impact modelling or econometric analysis Experience producing research for external publication or media use Understanding of UK financial services regulation or the alternative lending market The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, Berlin and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependants. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave A one-month, fully paid sabbatical after four years. Instant access to emotional and mental health support. 3% Pension contributions and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.
05/06/2026
Full time
Data Analyst - Strategic Comms Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4.5 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team As the Research Analyst for the Strategic Communications team, you will build iwoca's evidence base for public policy arguments. You'll become the expert on what iwoca's data can tell us about our impact - on customer outcomes, business survival, pricing, and the wider economy - and translate that into compelling materials for policymakers, journalists, and senior stakeholders. You'll work alongside our comms team and report to the Director of Strategic Communications, with regular interaction with iwoca's executive team. The role sits at the intersection of data, policy, and communications and collaborates with Risk, Product, Operations, Finance, and Investor Relations to extract insights and translate them into materials that shape how iwoca is understood externally. There's a clear career trajectory here. With time, you could build a new research function, or you might discover that you love the communications and become a data-driven PR professional. Either way, you'll have the opportunity to shape the role and take on real responsibility from day one. The responsibilities Extract and analyse data from iwoca's loan book, loss rates, customer outcomes, and pricing distributions to uncover insights that support our public positioning. Build and maintain briefing packs on key topics: business survival rates, pricing, personal guarantees, automation, and regulatory impact. Translate complex data into clear, defensible documents with key statistics, talking points, and visualisations for non-technical audiences. Coordinate with external research partners (e.g. Capital Economics) - preparing data packages, briefing them on our business, and quality-assuring their outputs. Work with Comms to respond rapidly to media or policy inquiries - producing accurate data when inbounds come in. Publish work and write data-driven content for iwoca's website, supporting marketing lead generation, media and investor relations. Support the Comms team on existing data-driven PR initiatives such as our SME Expert Index and Business Hotspots research. Run a quarterly review process with senior stakeholders to identify emerging concerns and commission new analysis. The requirements Comfortable working with raw data in Python or SQL, including cleaning, transforming, and visualising datasets to uncover insights Demonstrates curiosity to use and learn more about AI tools. You'll already be comfortable using AI tools in practical ways to help solve problems, increase productivity and improve quality of work, showing good judgement about when to use them and the ability to explain the reasoning behind that use. Use AI tools to explore data, generate insights, and improve workflows, with a focus on accuracy and analytical rigour. Strong analytical skills with a structured approach to problem-solving - you're curious, methodical, and comfortable getting to the root of a messy or ambiguous question An excellent communicator - you can take complex data and translate it into simple, compelling narratives for colleagues in comms, policy, or the executive team. Self-starting and adaptable - able to work independently in a fast-paced environment where priorities can shift quickly Comfortable moving between strategic thinking and hands-on execution - whether it's investigating a data anomaly or presenting findings to senior leadership Academic or practical experience in a quantitative field, such as Economics, Finance, Product, Maths, Engineering, or Computer Science Previous experience in a role involving data analysis and AI - whether in consulting, policy, finance, journalism, or a research setting. Salary is flexible based on experience. An interest in small businesses and the policy debates around SME finance - you don't need to be an expert, but you should be curious about the space. Nice to have Experience working in or with government, regulators, think tanks, or policy teams Familiarity with economic impact modelling or econometric analysis Experience producing research for external publication or media use Understanding of UK financial services regulation or the alternative lending market The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, Berlin and Frankfurt with plenty of drinks and snacks Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Medical insurance from Vitality, including discounted gym membership A private GP service (separate from Vitality) for you, your partner, and your dependants. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave A one-month, fully paid sabbatical after four years. Instant access to emotional and mental health support. 3% Pension contributions and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.
As a Senior Software Product Analyst, you will be responsible for identifying improvements, defining requirements, and liaising with multiple teams to deliver positive changes to the marketing function. Full-time Closes 01/07/2026 The Marketing function is essential to our on-going success, influencing every stage of the customer journey. This role requires a dynamic individual who can engage with teams at all levels and functions, bringing them together with a common goal to deliver outstanding results. You will apply your knowledge of our customers, regulatory requirements and the technology stack to drive change and deliver value. In our fast-paced and evolving environment, initiative, context switching and data-driven decision-making are vital. You will have a deep understanding of CRM technologies to support the continuous improvement of our direct-to-customer marketing across all touchpoints. This role is eligible for inclusion in the Company's hybrid working from home policy. Preferred Skills and Experience Experience working within product management. Experience in Marketing Technology (MarTech), specialising in Customer Relationship Management (CRM). Comfortable working with internally built and third-party technologies including CDPs and CEPs. Demonstrable experience of product launches and continuous improvement that achieves Business objectives. Strong understanding of product lifecycles, methodologies, and agile frameworks. Strategic thinking and the ability to translate Business goals into achievable product plans. Comfortable working in a fast-paced environment, multi-tasking and working with ambiguity and change. Good knowledge and understanding of the gambling industry. What you will be doing Supporting marketing in the key areas, either problem solving or delivering new capability. Conducting market research, competitor analysis and customer trend analysis using internal and external data points. Leading the end-to-end product development lifecycle from ideation to launch. Producing detailed requirements that enable the development teams to deliver what is required. Prioritising your work stack and reviewing it regularly to ensure timely delivery and release of value, as well as defining what success looks like for your products and initiatives. Running trials to ascertain value. Building strong relationships across internal and external stakeholders to ensure complete alignment of product initiatives that meet needs, whilst leading cross functional sessions to align outcomes. Challenging decisions, requirements and understandings as needed so all viewpoints are considered. Updating key stakeholders regularly on plans. Bonus Eye care and Flu Vaccinations Life Assurance
05/06/2026
Full time
As a Senior Software Product Analyst, you will be responsible for identifying improvements, defining requirements, and liaising with multiple teams to deliver positive changes to the marketing function. Full-time Closes 01/07/2026 The Marketing function is essential to our on-going success, influencing every stage of the customer journey. This role requires a dynamic individual who can engage with teams at all levels and functions, bringing them together with a common goal to deliver outstanding results. You will apply your knowledge of our customers, regulatory requirements and the technology stack to drive change and deliver value. In our fast-paced and evolving environment, initiative, context switching and data-driven decision-making are vital. You will have a deep understanding of CRM technologies to support the continuous improvement of our direct-to-customer marketing across all touchpoints. This role is eligible for inclusion in the Company's hybrid working from home policy. Preferred Skills and Experience Experience working within product management. Experience in Marketing Technology (MarTech), specialising in Customer Relationship Management (CRM). Comfortable working with internally built and third-party technologies including CDPs and CEPs. Demonstrable experience of product launches and continuous improvement that achieves Business objectives. Strong understanding of product lifecycles, methodologies, and agile frameworks. Strategic thinking and the ability to translate Business goals into achievable product plans. Comfortable working in a fast-paced environment, multi-tasking and working with ambiguity and change. Good knowledge and understanding of the gambling industry. What you will be doing Supporting marketing in the key areas, either problem solving or delivering new capability. Conducting market research, competitor analysis and customer trend analysis using internal and external data points. Leading the end-to-end product development lifecycle from ideation to launch. Producing detailed requirements that enable the development teams to deliver what is required. Prioritising your work stack and reviewing it regularly to ensure timely delivery and release of value, as well as defining what success looks like for your products and initiatives. Running trials to ascertain value. Building strong relationships across internal and external stakeholders to ensure complete alignment of product initiatives that meet needs, whilst leading cross functional sessions to align outcomes. Challenging decisions, requirements and understandings as needed so all viewpoints are considered. Updating key stakeholders regularly on plans. Bonus Eye care and Flu Vaccinations Life Assurance
Neighbouring Rights Business AnalystApplylocations: Kings Cross, Londontime type: Full timeposted on: Posted 13 Days Agojob requisition id: UMG-25556Music is Universal It's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email .# The Role This role sits at the heart of the Global Rights & Society Relations team, combining neighbouring rights expertise with modern analytics to support the department's core objective of maximising revenue for UMG's labels and artists.The Neighbouring Rights Business Analyst will deliver high-quality analysis, insights and recommendations across revenue assurance, performance tracking and business planning. The role will focus on identifying revenue opportunities through the interrogation of complex datasets, including revenue statements and usage data, and translating findings into clear, actionable outcomes for the business.Alongside this, the role will take ownership of key data structures and reporting solutions, ensuring data is accurate, accessible and effectively used across the team. The individual will work closely with Finance, Operations, Business Development and other stakeholders, acting as a trusted partner in supporting decision-making, forecasting and strategic initiatives.This is an opportunity for a highly motivated and analytical individual to play a key role in a developing and fast-moving area of the business.# Key duties and responsibilities Analysis, insights and revenue optimisation Analyse neighbouring rights revenue statements alongside usage and airplay data to identify trends, discrepancies and opportunities for revenue recovery Investigate performance questions, identifying what has changed and why, and clearly communicate findings and recommended actions Support and enhance the neighbouring rights revenue assurance programme, including identification and tracking of missing revenues across labels and performers Deliver structured analysis to support forecasting, benchmarking and performance evaluation across territories, societies and catalogues Provide analytical support for business development activities, including evaluation of prospective deals and new opportunities Provide support for royalty processing and ongoing enhancement of data for both internal and external reporting Data ownership and reporting In collaboration with Global Technology and other Business Analysts, design and maintain scalable data ecosystems (including BigQuery) that enable low-touch, reusable datasets and support cross-functional use across other UMG departments Design, build and maintain dashboards, scorecards and recurring reports to support self-service analytics across the GRSR team Translate business requirements into robust data models and reporting solutions Ensure clear documentation of data definitions, methodologies and processes to support consistency and efficiency Continuously identify opportunities to improve data quality, automate processes and reduce manual reporting Stakeholder partnership and communication Partner with Finance, Operations, Business Development and wider stakeholders to ensure insights are clearly understood and effectively applied Translate complex data into clear, concise and visually compelling outputs tailored to different audiences Support the preparation of materials for client reviews, business updates and territory engagements Contribute to regular reporting cycles, business reviews and ad hoc analysis with clear takeaways and recommendations Work with technical and data teams to identify and resolve data issues, providing clear evidence and proposed solutions Data development and innovation Support the ongoing development of data capabilities within GRSR, contributing to improved analytical frameworks and reporting standards Explore new datasets and analytical approaches to enhance understanding of neighbouring rights performance and market dynamics Contribute to broader data initiatives, including collaboration with central data teams to leverage new tools and technologies Where relevant, support research and analytical work that informs music performance insights and business development strategy# Person specification Skills and experience Strong analytical capability, with the ability to translate business questions into structured analysis and actionable recommendations Proven experience working with data in an analytics, finance, BI or similar environment (typically 3-5 years); experience in music royalties or Neighbouring Rights is advantageous Proficiency in Excel (including data manipulation, pivot tables and modelling) Proficiency with SQL and data warehouse environments such as Google Big Query Proficiency working with large datasets and building dashboards using tools such as Looker, Tableau, Domo or similar Ability to validate data, identify anomalies and conduct root-cause analysis Communication and stakeholder skills Strong written and verbal communication skills, with the ability to present complex information clearly and effectively Ability to tailor outputs and messaging to different audiences, from technical teams to senior stakeholders Confident working cross-functionally and building effective working relationships Able to translate analysis into clear business insights and recommendations Personal attributes Highly motivated, with strong drive, energy and enthusiasm for delivering high-quality work Curious and proactive, with a desire to understand underlying drivers of performance Strong attention to detail and commitment to accuracy Well organised, with the ability to manage multiple priorities and deadlines Comfortable working in a fast-paced and evolving environment A collaborative team player with a positive and flexible approach About UMG UK We are Universal Music Group UK - the UK's leading music-based entertainment company. We exist to shape culture through the power of artistry. We help UK artists produce, distribute and promote the most critically acclaimed and commercially successful music to inspire and entertain fans at home and around the world. Bonus Tracks: Your Benefits Group Personal Pension Scheme (between 3% and 9%) Private Medical Insurance 25 paid days of annual leave Interest Free Season Ticket Loan Holiday Purchase scheme Dental and Travel Insurance options Cycle to Work Scheme Salary Sacrifice Cars Subsidised Gym Membership Employee Discounts (Reward Gateway)Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.
05/06/2026
Full time
Neighbouring Rights Business AnalystApplylocations: Kings Cross, Londontime type: Full timeposted on: Posted 13 Days Agojob requisition id: UMG-25556Music is Universal It's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email .# The Role This role sits at the heart of the Global Rights & Society Relations team, combining neighbouring rights expertise with modern analytics to support the department's core objective of maximising revenue for UMG's labels and artists.The Neighbouring Rights Business Analyst will deliver high-quality analysis, insights and recommendations across revenue assurance, performance tracking and business planning. The role will focus on identifying revenue opportunities through the interrogation of complex datasets, including revenue statements and usage data, and translating findings into clear, actionable outcomes for the business.Alongside this, the role will take ownership of key data structures and reporting solutions, ensuring data is accurate, accessible and effectively used across the team. The individual will work closely with Finance, Operations, Business Development and other stakeholders, acting as a trusted partner in supporting decision-making, forecasting and strategic initiatives.This is an opportunity for a highly motivated and analytical individual to play a key role in a developing and fast-moving area of the business.# Key duties and responsibilities Analysis, insights and revenue optimisation Analyse neighbouring rights revenue statements alongside usage and airplay data to identify trends, discrepancies and opportunities for revenue recovery Investigate performance questions, identifying what has changed and why, and clearly communicate findings and recommended actions Support and enhance the neighbouring rights revenue assurance programme, including identification and tracking of missing revenues across labels and performers Deliver structured analysis to support forecasting, benchmarking and performance evaluation across territories, societies and catalogues Provide analytical support for business development activities, including evaluation of prospective deals and new opportunities Provide support for royalty processing and ongoing enhancement of data for both internal and external reporting Data ownership and reporting In collaboration with Global Technology and other Business Analysts, design and maintain scalable data ecosystems (including BigQuery) that enable low-touch, reusable datasets and support cross-functional use across other UMG departments Design, build and maintain dashboards, scorecards and recurring reports to support self-service analytics across the GRSR team Translate business requirements into robust data models and reporting solutions Ensure clear documentation of data definitions, methodologies and processes to support consistency and efficiency Continuously identify opportunities to improve data quality, automate processes and reduce manual reporting Stakeholder partnership and communication Partner with Finance, Operations, Business Development and wider stakeholders to ensure insights are clearly understood and effectively applied Translate complex data into clear, concise and visually compelling outputs tailored to different audiences Support the preparation of materials for client reviews, business updates and territory engagements Contribute to regular reporting cycles, business reviews and ad hoc analysis with clear takeaways and recommendations Work with technical and data teams to identify and resolve data issues, providing clear evidence and proposed solutions Data development and innovation Support the ongoing development of data capabilities within GRSR, contributing to improved analytical frameworks and reporting standards Explore new datasets and analytical approaches to enhance understanding of neighbouring rights performance and market dynamics Contribute to broader data initiatives, including collaboration with central data teams to leverage new tools and technologies Where relevant, support research and analytical work that informs music performance insights and business development strategy# Person specification Skills and experience Strong analytical capability, with the ability to translate business questions into structured analysis and actionable recommendations Proven experience working with data in an analytics, finance, BI or similar environment (typically 3-5 years); experience in music royalties or Neighbouring Rights is advantageous Proficiency in Excel (including data manipulation, pivot tables and modelling) Proficiency with SQL and data warehouse environments such as Google Big Query Proficiency working with large datasets and building dashboards using tools such as Looker, Tableau, Domo or similar Ability to validate data, identify anomalies and conduct root-cause analysis Communication and stakeholder skills Strong written and verbal communication skills, with the ability to present complex information clearly and effectively Ability to tailor outputs and messaging to different audiences, from technical teams to senior stakeholders Confident working cross-functionally and building effective working relationships Able to translate analysis into clear business insights and recommendations Personal attributes Highly motivated, with strong drive, energy and enthusiasm for delivering high-quality work Curious and proactive, with a desire to understand underlying drivers of performance Strong attention to detail and commitment to accuracy Well organised, with the ability to manage multiple priorities and deadlines Comfortable working in a fast-paced and evolving environment A collaborative team player with a positive and flexible approach About UMG UK We are Universal Music Group UK - the UK's leading music-based entertainment company. We exist to shape culture through the power of artistry. We help UK artists produce, distribute and promote the most critically acclaimed and commercially successful music to inspire and entertain fans at home and around the world. Bonus Tracks: Your Benefits Group Personal Pension Scheme (between 3% and 9%) Private Medical Insurance 25 paid days of annual leave Interest Free Season Ticket Loan Holiday Purchase scheme Dental and Travel Insurance options Cycle to Work Scheme Salary Sacrifice Cars Subsidised Gym Membership Employee Discounts (Reward Gateway)Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.
