# Azure Fabric ArchitectBristol, Manchester, Newcastle Bank House, Birmingham, LondonApply for this job Permanent Experienced Professionals Architecture ID 467117-en\_GB Who You'll Be Working With As a Data Solution Architect at Capgemini, you will design and lead the delivery of modern data platforms that enable analytics, AI, GenAI, and data driven decision making at scale. You will translate business strategy into robust, governed, and AI ready architectures, taking end to end ownership from vision through to delivery and value realisationYou will be part of the Data Platforms team that is part of the Insights and Data Global Practice that has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake Please Note: Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process. The Focus Of Your Role As a Solution Architect with an Azure Data Factory (ADF) and Microsoft Fabric focus, you will be an integral part of our team dedicated to building scalable, secure, and well-governed data platforms. You will leverage your expertise in ADF, Fabric (Lakehouse, Warehouse, and Real-Time Analytics), and the wider Azure data ecosystem to design, develop, and implement modern data architectures and pipelines that fuel analytics, AI/ML, and data-driven operations. Design and build high-performance data integration solutions: Use Azure Data Factory (and/or Fabric Data Factory) to orchestrate ingestion, transformation, and movement of data across on-premises and cloud sources into Azure services. Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Microsoft Fabric (Lakehouse/Warehouse), Purview, and Azure security controls to ensure trusted data. Ability to design, build and deploy AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Azure Machine Learning and Fabric experiences to operationalise models and drive business insights. Design, monitor and optimise data pipelines and platform performance: Use Fabric capacity management, pipeline monitoring, logging, and operational best practices to improve reliability, throughput, cost, and scalability. Collaborate with cross-functional teams: Work closely with business analysts, data engineers, data scientists, and platform/DevOps teams to implement secure CI/CD, environment management, and a scalable Fabric workspace and governance model. Stay ahead of the curve: Continuously learn and adapt to the evolving Microsoft data platform landscape, including ADF, Microsoft Fabric, Synapse, Purview, and related best practices. Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using Microsoft Purview and aligned standards for trusted, auditable data products. Own security architecture for data platforms: Design identity, access, and secrets management (e.g., Entra ID RBAC, managed identities, Key Vault) and apply network and monitoring controls appropriate for sensitive public sector workloads. Embed engineering excellence: Define CI/CD and release management for ADF/Fabric, including Git integration, branching strategies, automated testing, and repeatable environment provisioning using Infrastructure-as-Code (e.g., Bicep/Terraform). Drive FinOps and capacity planning: Shape Microsoft Fabric capacity strategy, workload isolation, usage monitoring, and cost optimisation to balance performance, resilience, and value. Lead migration and modernisation: Assess legacy estates and design pragmatic roadmaps to modern Azure/Fabric architectures, including transition planning, delivery governance, and risk management. Support delivery leadership and pre-sales: Contribute to proposals, solution shaping, estimations, and delivery plans, and provide technical leadership across multi-supplier teams. What You'll Bring You will bring deep experience delivering data platforms and data architecture within complex public sector environments, with a strong understanding of government operating models, regulatory obligations, and the need for trusted, mission critical data. You will have a proven ability to design secure, scalable, and well governed data foundations that support analytics, AI, and GenAI while meeting requirements for data protection, sovereignty, transparency, and auditability.You will be comfortable working with senior stakeholders to translate outcomes into pragmatic data and AI architectures, balancing innovation with risk management. You will bring strong leadership and collaboration skills, enabling multi supplier delivery teams to align around shared standards, reuse platforms effectively, and build sustainable data capabilities that deliver long term value for citizens and public services. Experience: Minimum 7+ years of experience as a Data Architect, including designing, developing and implementing solutions on the Microsoft data platform (Azure Data Factory and/or Microsoft Fabric). Proven expertise in data integration and analytics platforms, including Azure Data Factory, Microsoft Fabric (Lakehouse/Warehouse), and strong understanding of data warehousing, dimensional modelling, and lakehouse concepts. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage/ADLS Gen2, Microsoft Fabric (OneLake, Workspaces, Capacity), Azure Synapse and/or SQL, and Azure Data Factory. Excellent problem-solving and analytical skills and strong communication and teamwork skills. Passion for data and a thirst for learning; either already a Microsoft Fabric advocate or working towards deep capability in Fabric and ADF. Relevant Microsoft certifications (e.g., Azure Solutions Architect, Data Engineer, and/or Microsoft Fabric certifications). Hands-on experience with CI/CD and Infrastructure-as-Code for Azure data platforms (e.g., Git-based workflows for ADF/Fabric, automated deployments, and Bicep/Terraform). Additional Information Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) What we'll offer you You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more. Why we're different At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too. Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.
06/06/2026
Full time
# Azure Fabric ArchitectBristol, Manchester, Newcastle Bank House, Birmingham, LondonApply for this job Permanent Experienced Professionals Architecture ID 467117-en\_GB Who You'll Be Working With As a Data Solution Architect at Capgemini, you will design and lead the delivery of modern data platforms that enable analytics, AI, GenAI, and data driven decision making at scale. You will translate business strategy into robust, governed, and AI ready architectures, taking end to end ownership from vision through to delivery and value realisationYou will be part of the Data Platforms team that is part of the Insights and Data Global Practice that has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake Please Note: Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process. The Focus Of Your Role As a Solution Architect with an Azure Data Factory (ADF) and Microsoft Fabric focus, you will be an integral part of our team dedicated to building scalable, secure, and well-governed data platforms. You will leverage your expertise in ADF, Fabric (Lakehouse, Warehouse, and Real-Time Analytics), and the wider Azure data ecosystem to design, develop, and implement modern data architectures and pipelines that fuel analytics, AI/ML, and data-driven operations. Design and build high-performance data integration solutions: Use Azure Data Factory (and/or Fabric Data Factory) to orchestrate ingestion, transformation, and movement of data across on-premises and cloud sources into Azure services. Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Microsoft Fabric (Lakehouse/Warehouse), Purview, and Azure security controls to ensure trusted data. Ability to design, build and deploy AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Azure Machine Learning and Fabric experiences to operationalise models and drive business insights. Design, monitor and optimise data pipelines and platform performance: Use Fabric capacity management, pipeline monitoring, logging, and operational best practices to improve reliability, throughput, cost, and scalability. Collaborate with cross-functional teams: Work closely with business analysts, data engineers, data scientists, and platform/DevOps teams to implement secure CI/CD, environment management, and a scalable Fabric workspace and governance model. Stay ahead of the curve: Continuously learn and adapt to the evolving Microsoft data platform landscape, including ADF, Microsoft Fabric, Synapse, Purview, and related best practices. Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using Microsoft Purview and aligned standards for trusted, auditable data products. Own security architecture for data platforms: Design identity, access, and secrets management (e.g., Entra ID RBAC, managed identities, Key Vault) and apply network and monitoring controls appropriate for sensitive public sector workloads. Embed engineering excellence: Define CI/CD and release management for ADF/Fabric, including Git integration, branching strategies, automated testing, and repeatable environment provisioning using Infrastructure-as-Code (e.g., Bicep/Terraform). Drive FinOps and capacity planning: Shape Microsoft Fabric capacity strategy, workload isolation, usage monitoring, and cost optimisation to balance performance, resilience, and value. Lead migration and modernisation: Assess legacy estates and design pragmatic roadmaps to modern Azure/Fabric architectures, including transition planning, delivery governance, and risk management. Support delivery leadership and pre-sales: Contribute to proposals, solution shaping, estimations, and delivery plans, and provide technical leadership across multi-supplier teams. What You'll Bring You will bring deep experience delivering data platforms and data architecture within complex public sector environments, with a strong understanding of government operating models, regulatory obligations, and the need for trusted, mission critical data. You will have a proven ability to design secure, scalable, and well governed data foundations that support analytics, AI, and GenAI while meeting requirements for data protection, sovereignty, transparency, and auditability.You will be comfortable working with senior stakeholders to translate outcomes into pragmatic data and AI architectures, balancing innovation with risk management. You will bring strong leadership and collaboration skills, enabling multi supplier delivery teams to align around shared standards, reuse platforms effectively, and build sustainable data capabilities that deliver long term value for citizens and public services. Experience: Minimum 7+ years of experience as a Data Architect, including designing, developing and implementing solutions on the Microsoft data platform (Azure Data Factory and/or Microsoft Fabric). Proven expertise in data integration and analytics platforms, including Azure Data Factory, Microsoft Fabric (Lakehouse/Warehouse), and strong understanding of data warehousing, dimensional modelling, and lakehouse concepts. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage/ADLS Gen2, Microsoft Fabric (OneLake, Workspaces, Capacity), Azure Synapse and/or SQL, and Azure Data Factory. Excellent problem-solving and analytical skills and strong communication and teamwork skills. Passion for data and a thirst for learning; either already a Microsoft Fabric advocate or working towards deep capability in Fabric and ADF. Relevant Microsoft certifications (e.g., Azure Solutions Architect, Data Engineer, and/or Microsoft Fabric certifications). Hands-on experience with CI/CD and Infrastructure-as-Code for Azure data platforms (e.g., Git-based workflows for ADF/Fabric, automated deployments, and Bicep/Terraform). Additional Information Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) What we'll offer you You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more. Why we're different At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too. Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.
Analyst, People Technology & DataApplylocations: The Adelphi, London, GBtime type: Full timeposted on: Posted 2 Days Agotime left to apply: End Date: June 25, 2026 (28 days left to apply)job requisition id: R-23929Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company's portfolio includes many of the world's most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others.# Job Description Location:London, GBCondé Nast is a global media company, home to iconic brands including Vogue, GQ, Glamour, CN Traveller, Vanity Fair, Wired, The World of Interiors, House & Garden and Tatler, among many others. We are headquartered in New York and London and operate in 32 markets worldwide, with a footprint of more than 1 billion consumers across print, digital, video and social platforms.Condé Nast thrives on collaboration, and our teams come together in the office four days a week (Monday - Thursday).We value diversity of background, views and cultures. We celebrate people for their personal qualities, skills and contributions, recognising the power our brands have to influence and shape culture. The Role We are seeking a motivated, curious and detail-oriented individual to support our People team in optimising and maintaining our Workday HCM environment, and delivering accurate people-insights through data analysis and reporting. This entry/mid-level role will sit within our Global People Operations Team, and combines HR analytics, reporting and system governance & support to help enhance our processes and decision-making.The ideal candidate will have a passion for People technology, curiosity about data, and foundational experience in HR systems and analytics. What will you be doing? Provide support to end user(s) by troubleshooting, providing issue remediation, and critical issue management using ServiceNow Ensure upkeep and maintenance of all documentation, e.g. Workday user guides, process documentation Collaborate with our Technology team to ensure that user requests are reviewed and align with our Workday global design principles Support the wider People Technology & Data team with testing, simple reporting and report building, mass loads (EIBs) and routine system maintenance Conduct reporting and data analysis for compliance and ad-hoc requests Conduct system and data audits to ensure compliance with our data governance models Train end users on new processes/functionality, including developing user procedures, guidelines, and documentation Support with Workday trainings for new hires in our People Team, as well as continued education Workday trainings and guidance for current People Team members Ensure all changes to the Workday system and security are documented, and evidence of testing has been captured Lead our Workday Community and advise users about the latest enhancements for future releases accordingly About you: Experience in the HRIS (Workday preferred) and HR Analytics OR recent Bachelor's or Master's graduates with relevant degree experience Proficient in Google Sheets and Excel (e.g., Pivot Tables, VLOOKUP, IF, COUNTIF) Ability to work both independently and collaboratively with cross-functional teams Handles confidential and sensitive information with discretion and professionalism, with a strong focus on GDPR and data privacy Eager to Learn: You're curious, open to trial and error, and actively seek to grow both technical and non-technical skills Analytical Thinking: You have the ability to break down complex problems into smaller components, identify trends, and draw logical, data-driven conclusions Strong Communicator: You're a good listener and can clearly articulate your ideas Nice to Haves Experience with data manipulation tools such as SQL, Python (Pandas), R. Experience with data visualisation process Does this sound like you? Please upload your CV and cover letter which highlights why you'd love to take on this role and why you're a great match for what we're looking for. We value the time and effort behind every application. All submissions are reviewed by a member of our talent team - we don't use AI-assisted technology to review applications. What benefits do we offer? 25 days holiday (plus bank holidays) and extra days of annual leave if you move house or want to volunteer. You'll have access to a competitive pension scheme, Bupa Private Healthcare, Season ticket loans and eye tests. We offer a range of tools to support your wellbeing, including core hours, 10 remote days (from home or a country with a Condé Nast office location), and access to our Employee Assistance Programme, corporate gym membership and cycle to work scheme. We're a dog-friendly office, plus you'll enjoy discounts and magazine subscriptions, keeping you up to date with all things Condé Nast. We encourage personal and professional growth through the Condé Nast Learning Hub where you'll find an extensive portfolio of learning courses and training, available in local languages. Our Employee Resource Groups provide a platform for employees to identify shared objectives, exchange ideas, and work on community priorities for our global workforce.# What happens next? If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile. Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.
04/06/2026
Full time
Analyst, People Technology & DataApplylocations: The Adelphi, London, GBtime type: Full timeposted on: Posted 2 Days Agotime left to apply: End Date: June 25, 2026 (28 days left to apply)job requisition id: R-23929Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company's portfolio includes many of the world's most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others.# Job Description Location:London, GBCondé Nast is a global media company, home to iconic brands including Vogue, GQ, Glamour, CN Traveller, Vanity Fair, Wired, The World of Interiors, House & Garden and Tatler, among many others. We are headquartered in New York and London and operate in 32 markets worldwide, with a footprint of more than 1 billion consumers across print, digital, video and social platforms.Condé Nast thrives on collaboration, and our teams come together in the office four days a week (Monday - Thursday).We value diversity of background, views and cultures. We celebrate people for their personal qualities, skills and contributions, recognising the power our brands have to influence and shape culture. The Role We are seeking a motivated, curious and detail-oriented individual to support our People team in optimising and maintaining our Workday HCM environment, and delivering accurate people-insights through data analysis and reporting. This entry/mid-level role will sit within our Global People Operations Team, and combines HR analytics, reporting and system governance & support to help enhance our processes and decision-making.The ideal candidate will have a passion for People technology, curiosity about data, and foundational experience in HR systems and analytics. What will you be doing? Provide support to end user(s) by troubleshooting, providing issue remediation, and critical issue management using ServiceNow Ensure upkeep and maintenance of all documentation, e.g. Workday user guides, process documentation Collaborate with our Technology team to ensure that user requests are reviewed and align with our Workday global design principles Support the wider People Technology & Data team with testing, simple reporting and report building, mass loads (EIBs) and routine system maintenance Conduct reporting and data analysis for compliance and ad-hoc requests Conduct system and data audits to ensure compliance with our data governance models Train end users on new processes/functionality, including developing user procedures, guidelines, and documentation Support with Workday trainings for new hires in our People Team, as well as continued education Workday trainings and guidance for current People Team members Ensure all changes to the Workday system and security are documented, and evidence of testing has been captured Lead our Workday Community and advise users about the latest enhancements for future releases accordingly About you: Experience in the HRIS (Workday preferred) and HR Analytics OR recent Bachelor's or Master's graduates with relevant degree experience Proficient in Google Sheets and Excel (e.g., Pivot Tables, VLOOKUP, IF, COUNTIF) Ability to work both independently and collaboratively with cross-functional teams Handles confidential and sensitive information with discretion and professionalism, with a strong focus on GDPR and data privacy Eager to Learn: You're curious, open to trial and error, and actively seek to grow both technical and non-technical skills Analytical Thinking: You have the ability to break down complex problems into smaller components, identify trends, and draw logical, data-driven conclusions Strong Communicator: You're a good listener and can clearly articulate your ideas Nice to Haves Experience with data manipulation tools such as SQL, Python (Pandas), R. Experience with data visualisation process Does this sound like you? Please upload your CV and cover letter which highlights why you'd love to take on this role and why you're a great match for what we're looking for. We value the time and effort behind every application. All submissions are reviewed by a member of our talent team - we don't use AI-assisted technology to review applications. What benefits do we offer? 25 days holiday (plus bank holidays) and extra days of annual leave if you move house or want to volunteer. You'll have access to a competitive pension scheme, Bupa Private Healthcare, Season ticket loans and eye tests. We offer a range of tools to support your wellbeing, including core hours, 10 remote days (from home or a country with a Condé Nast office location), and access to our Employee Assistance Programme, corporate gym membership and cycle to work scheme. We're a dog-friendly office, plus you'll enjoy discounts and magazine subscriptions, keeping you up to date with all things Condé Nast. We encourage personal and professional growth through the Condé Nast Learning Hub where you'll find an extensive portfolio of learning courses and training, available in local languages. Our Employee Resource Groups provide a platform for employees to identify shared objectives, exchange ideas, and work on community priorities for our global workforce.# What happens next? If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile. Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.
The ThamesWater Shared Apprenticeship Scheme are looking for a Data Analyst Apprentice. In the Berkshire area. The ThamesWater Shared Apprenticeship Scheme, is a bespoke apprenticeship programme sponsored by Thames Water to address the skills gaps within their supply chain. The scheme features a compulsory industry rotation to enable apprentices to get experience in different environments and boost the chances of further employment in the sector. An apprentice data analyst is responsible for collecting, inputting and outputting data, cleaning and preparing it for analysis, and creating basic reports and visualisations. They support more experienced analysts in modelling data and may also be involved in basic programming tasks. As they gain experience, apprentices are expected to learn new tools and techniques and take on more complex responsibilities in the field of data analysis. Duties may include: Identify data sources to meet the organisation's requirements using evidence-based decision making to create various data. Collaborating/working with clients and colleagues to determine reporting needs and deliver accurate information. Collect, compile and, if needed, cleanse data. Solving any problems that arise from a range of internal and external systems. Generate performance dashboards and reports during the Visualisation and Model Building phase. Maintain and develop reports for analysis, ensuring compliance with organisational policies and legislation. Create standard and non-standard statistical and data analysis reports Analyse and interpret data trends and patterns, drawing conclusions and providing guidance for understanding. Summarise and present data analysis results to stakeholders, offering recommendations. Ensure data storage and archiving align with relevant legislation, such as GDPR. Using databases including PowerBI, Python and Excel. Using programme languages such as SQL, HTML, JSONS etc. Typical Working Week 40 hours p/w with start time typically between 07:00 & 08:00 inclusive of paid 8 hours at college. Person Specification Proactive approach, taking pride in their work and taking accountability for decisions. A love of variety in a role and ability to adapt to a dynamic, fast-paced working environment Ability to quickly prioritise tasks and the initiative to dive head-first into problem solving No two days are the same on the front line and not every day goes to plan, so you will need to be quick on your feet to respond! Excellent communication and collaboration skills and enjoy working with multiple teams Ability to analyse and interpret information and effectively communicate this to different team members and audiences Ability to visit different sites and training days Curiosity to learn quickly in a reactive and dynamic working environment. Ability to work in all weather conditions to serve our customers and protect the environment Able to understand and follow health and safety protocols Qualifications required/desirable English and Maths at GCSE Grade 4 / C or above, or Functional Skills at Level 2 or above. Desired Requirements A high interest in developing your knowledge and understanding of key concepts and techniques that help organisations effectively use data to make decisions Key Training/College Information K10 will enrol you to the Level 4 Data Analyst course and fund your qualifications through an accredited training provider. The apprenticeship duration is 24 months with up to 3 months for your End Point Assessment (EPA). To start this apprenticeship, you'll need to be: Living in England for the last 3 years and have right to work status Not enrolled on any other courses 18+ due to site H&S rules
04/06/2026
Full time
The ThamesWater Shared Apprenticeship Scheme are looking for a Data Analyst Apprentice. In the Berkshire area. The ThamesWater Shared Apprenticeship Scheme, is a bespoke apprenticeship programme sponsored by Thames Water to address the skills gaps within their supply chain. The scheme features a compulsory industry rotation to enable apprentices to get experience in different environments and boost the chances of further employment in the sector. An apprentice data analyst is responsible for collecting, inputting and outputting data, cleaning and preparing it for analysis, and creating basic reports and visualisations. They support more experienced analysts in modelling data and may also be involved in basic programming tasks. As they gain experience, apprentices are expected to learn new tools and techniques and take on more complex responsibilities in the field of data analysis. Duties may include: Identify data sources to meet the organisation's requirements using evidence-based decision making to create various data. Collaborating/working with clients and colleagues to determine reporting needs and deliver accurate information. Collect, compile and, if needed, cleanse data. Solving any problems that arise from a range of internal and external systems. Generate performance dashboards and reports during the Visualisation and Model Building phase. Maintain and develop reports for analysis, ensuring compliance with organisational policies and legislation. Create standard and non-standard statistical and data analysis reports Analyse and interpret data trends and patterns, drawing conclusions and providing guidance for understanding. Summarise and present data analysis results to stakeholders, offering recommendations. Ensure data storage and archiving align with relevant legislation, such as GDPR. Using databases including PowerBI, Python and Excel. Using programme languages such as SQL, HTML, JSONS etc. Typical Working Week 40 hours p/w with start time typically between 07:00 & 08:00 inclusive of paid 8 hours at college. Person Specification Proactive approach, taking pride in their work and taking accountability for decisions. A love of variety in a role and ability to adapt to a dynamic, fast-paced working environment Ability to quickly prioritise tasks and the initiative to dive head-first into problem solving No two days are the same on the front line and not every day goes to plan, so you will need to be quick on your feet to respond! Excellent communication and collaboration skills and enjoy working with multiple teams Ability to analyse and interpret information and effectively communicate this to different team members and audiences Ability to visit different sites and training days Curiosity to learn quickly in a reactive and dynamic working environment. Ability to work in all weather conditions to serve our customers and protect the environment Able to understand and follow health and safety protocols Qualifications required/desirable English and Maths at GCSE Grade 4 / C or above, or Functional Skills at Level 2 or above. Desired Requirements A high interest in developing your knowledge and understanding of key concepts and techniques that help organisations effectively use data to make decisions Key Training/College Information K10 will enrol you to the Level 4 Data Analyst course and fund your qualifications through an accredited training provider. The apprenticeship duration is 24 months with up to 3 months for your End Point Assessment (EPA). To start this apprenticeship, you'll need to be: Living in England for the last 3 years and have right to work status Not enrolled on any other courses 18+ due to site H&S rules
Why work for us? A career at Janus Henderson is more than a job, it's about investing in a brighter future together. Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. Our Values are key to driving our success, and are at the heart of everything we do: Clients Come First - Always Execution Supersedes Intention Together We Win Diversity Improves Results Truth Builds Trust If our mission, values, and purpose align with your own, we would love to hear from you! Your opportunity As a Business Analyst supporting our Distribution Technology Analytics team, you will play a key role in shaping how Distribution teams access and use data to make decisions. You'll partner with Distribution stakeholders (Sales, Client Service, Management) as well as upstream data engineering and analytics teams to ensure that insights are accurate, trusted, and aligned to how the business operates. Partner with global Distribution stakeholders to understand business workflows and decision making needs, translating them into clear analytics and reporting requirements. Create and evolve dashboards and reporting that surface key Distribution KPIs and provide actionable insights for Sales and Client teams. Serve as the bridge between certified enterprise data and Distribution consumers, ensuring data is accurately interpreted and delivered through intuitive, business ready dashboards and reports. Utilize tools such as SQL, Tableau, Power BI, and related analytics platforms to analyze data, monitor data quality, and deliver insights that enable data driven business decisions. Collaborate closely with data engineering teams, bringing business context and requirements to analytics solutions. Document reporting logic, data flows, and metric definitions in partnership with Enterprise Data Management to support clarity, reuse, and governance. The role sits within the Business Analyst Guild within JHI's Technology organization, offering a strong professional BA community focused on shared standards, best practices, and continuous development. What to expect when you join our firm Hybrid working and reasonable accommodations Generous Holiday policies Excellent Health and Wellbeing benefits including corporate membership to ClassPass Paid volunteer time to step away from your desk and into the community Support to grow through professional development courses, tuition/qualification reimbursement and more Maternal/paternal leave benefits and family services Complimentary subscription to Headspace - the mindfulness app All employee events including networking opportunities and social activities Lunch allowance for use within our subsidised onsite canteen Must have skills Strong experience as a Business Analyst supporting analytics, reporting, or data driven solutions in a business intelligence or analytics environment. Solid understanding of data concepts, including data pipelines, data architecture, and how curated or certified data is consumed downstream. Demonstrated experience writing SQL scripts for analysis of data warehouses or other data implementations in any of the following database platforms: Oracle, Microsoft SQL Server, Databricks Delta Lake, Snowflake. Experience working with data visualization and reporting tools such as Power BI, Tableau, or similar, with a focus on business consumption, insight delivery, and data quality validation. Proven ability to partner with business stakeholders to gather requirements, translate needs into user stories, and manage priorities within an Agile delivery model. Strong communication and stakeholder management skills, with the ability to explain data and analytics concepts to non technical audiences. Nice to have skills Prior experience supporting Distribution, Sales, Client Service, or Commercial teams, ideally within financial services or asset management. Basic coding or scripting knowledge (e.g., Python) used for data analysis, validation, or automation support. Experience contributing to or shaping BA standards, templates, or communities of practice. Experience working in outcome or value based delivery models, moving beyond feature completion to measurable business impact. Supervisory responsibilities No Potential for growth Mentoring Leadership development programs Regular training Career development services Continuing education courses You will be expected to understand the regulatory obligations of the firm and abide by the regulated entity requirements and JHI policies applicable for your role. Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance. Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career page here. Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee's job functions (as determined by Janus Henderson at its sole discretion). You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants' past political contributions or activity may impact applicants' eligibility for this position.
03/06/2026
Full time
Why work for us? A career at Janus Henderson is more than a job, it's about investing in a brighter future together. Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. Our Values are key to driving our success, and are at the heart of everything we do: Clients Come First - Always Execution Supersedes Intention Together We Win Diversity Improves Results Truth Builds Trust If our mission, values, and purpose align with your own, we would love to hear from you! Your opportunity As a Business Analyst supporting our Distribution Technology Analytics team, you will play a key role in shaping how Distribution teams access and use data to make decisions. You'll partner with Distribution stakeholders (Sales, Client Service, Management) as well as upstream data engineering and analytics teams to ensure that insights are accurate, trusted, and aligned to how the business operates. Partner with global Distribution stakeholders to understand business workflows and decision making needs, translating them into clear analytics and reporting requirements. Create and evolve dashboards and reporting that surface key Distribution KPIs and provide actionable insights for Sales and Client teams. Serve as the bridge between certified enterprise data and Distribution consumers, ensuring data is accurately interpreted and delivered through intuitive, business ready dashboards and reports. Utilize tools such as SQL, Tableau, Power BI, and related analytics platforms to analyze data, monitor data quality, and deliver insights that enable data driven business decisions. Collaborate closely with data engineering teams, bringing business context and requirements to analytics solutions. Document reporting logic, data flows, and metric definitions in partnership with Enterprise Data Management to support clarity, reuse, and governance. The role sits within the Business Analyst Guild within JHI's Technology organization, offering a strong professional BA community focused on shared standards, best practices, and continuous development. What to expect when you join our firm Hybrid working and reasonable accommodations Generous Holiday policies Excellent Health and Wellbeing benefits including corporate membership to ClassPass Paid volunteer time to step away from your desk and into the community Support to grow through professional development courses, tuition/qualification reimbursement and more Maternal/paternal leave benefits and family services Complimentary subscription to Headspace - the mindfulness app All employee events including networking opportunities and social activities Lunch allowance for use within our subsidised onsite canteen Must have skills Strong experience as a Business Analyst supporting analytics, reporting, or data driven solutions in a business intelligence or analytics environment. Solid understanding of data concepts, including data pipelines, data architecture, and how curated or certified data is consumed downstream. Demonstrated experience writing SQL scripts for analysis of data warehouses or other data implementations in any of the following database platforms: Oracle, Microsoft SQL Server, Databricks Delta Lake, Snowflake. Experience working with data visualization and reporting tools such as Power BI, Tableau, or similar, with a focus on business consumption, insight delivery, and data quality validation. Proven ability to partner with business stakeholders to gather requirements, translate needs into user stories, and manage priorities within an Agile delivery model. Strong communication and stakeholder management skills, with the ability to explain data and analytics concepts to non technical audiences. Nice to have skills Prior experience supporting Distribution, Sales, Client Service, or Commercial teams, ideally within financial services or asset management. Basic coding or scripting knowledge (e.g., Python) used for data analysis, validation, or automation support. Experience contributing to or shaping BA standards, templates, or communities of practice. Experience working in outcome or value based delivery models, moving beyond feature completion to measurable business impact. Supervisory responsibilities No Potential for growth Mentoring Leadership development programs Regular training Career development services Continuing education courses You will be expected to understand the regulatory obligations of the firm and abide by the regulated entity requirements and JHI policies applicable for your role. Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance. Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career page here. Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee's job functions (as determined by Janus Henderson at its sole discretion). You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants' past political contributions or activity may impact applicants' eligibility for this position.
Business Intelligence DeveloperApplylocations: Corporate Office Newporttime type: Full timeposted on: Posted Yesterdayjob requisition id: JR103909 POSITION SUMMARY: The Business Intelligence Developer role is responsible for engineering, testing, and deploying technical solutions that drive business value. This role involves leading and collaborating on the development and enhancement of data solutions, optimizing processes, and identifying efficiencies for stakeholders. Additionally, the developer will provide continuous technical and analytical support, offering recommendations for continuous improvement. ESSENTIAL JOB FUNCTIONS: Solution Engineering and Automation: + Design, develop, and support client facing solutions, APIs, and processes to enable rapid delivery of business capabilities. + Serve as a technical expert in system and application design. + Provide strategic direction, recommendations, and leadership in developing and executing business intelligence processes. + Proactively identify and implement efficiencies through process improvement and automation. + Troubleshoot data integrity, user, and system challenges, and work with users to achieve positive results. Insights & Reporting: + Leverage expertise in multiple corporate and syndicated sources (such as 84.51, Circana, etc.) to deliver expert analysis. + Support strategic decision making by delivering actionable insights and data-driven recommendations. + Develop, automate, and distribute reports routinely using BI tools and analytics platforms. Collaboration & Stakeholder Engagement: + Collaborate with business and technical stakeholders to identify, document and prioritize business intelligence initiatives based on business needs. + Stay informed on industry and business opportunities impacting customer stakeholders and P.L. Marketing. + Professionally and effectively represent P.L. Marketing to Kroger teams and external partners. Technical Knowledge, Training and Ongoing Learning: + Optimize and enhance BI tools, systems and reports by staying current on BI solutions and best practices. + Continuously learn and adopt new technologies, platforms & methodologies. + Mentor and guide junior team members. + Provide training and support to stakeholders and end users. + Produce technical guides for end users and team members. Project & Compliance Management: + Organize, prioritize and manage multiple projects with minimal supervision. + Ensure compliance with data governance, security policies and best practices. Must be able to perform the essential functions of this position with or without reasonable accommodation MINIMUM POSITION QUALIFICATIONS: Bachelor's degree in data Analytics, Information Systems, Computer Science, Business, Statistics, or Economics preferred. Minimum 5-years' experience in a technical, analytical or business intelligence role. Strong analytical and problem-solving skills required, including a thorough understanding of how to interpret business needs and translate them into a deliverable solution. Preferred experience in Kroger corporate systems and syndicated sources such as 84.51, Market 6, Mintel and Circana. Proficient in MS SQL for querying, data transformation and reporting. Experience with ETL, automation processes, and API integrations (Python, Alteryx, etc.). Hands-on experience with Business Intelligence and reporting tools, including Business Objects, Power Pivot, etc. Expertise with Microsoft Office 365 applications (Excel, PowerPoint, Word, Outlook). Proficient in data visualization tools. Power BI experience preferred. Strong organizational, leadership, and teamwork skills. Ability to effectively communicate deliverables to all levels, in person, virtually, and through written communication. Highly motivated self-starter who can work with minimal supervision. Ability to build and maintain positive and productive business relationships with users and team members Ability to prioritize and multi-task Experience functioning in a Corporate Office hybrid environment MINIMUM PHYSICAL ABILITIES: Must be able to: + remain standing/sitting for several hours at a time + have unlimited manual dexterity DESIRED PREVIOUS JOB EXPERIENCE: Business Intelligence Developer Business Intelligence Analyst Business Intelligence Process Manager Data Engineer Data Analyst Information Systems Analyst Information Technology/Systems COMPETENCIES/SKILLS: Some of the Competencies/Skills required to successfully perform this position are: Adaptability - maintaining effectiveness when experiencing major changes in work tasks or the work environment; adjusting effectively to work within new work structures, processes, requirements or cultures Building Strategic Working Relationships - developing and using collaborative relationships to facilitate the accomplishment of work goals Building Trust - interacting with Kroger employees, customers and suppliers in a way that gives Kroger Division and Corporate Management confidence in one's intentions and those of the organization Communication - clearly conveying information and ideas through a variety of media to individuals or groups in the English language Customer Focus - making Kroger customers and their needs a primary focus of one's actions; developing and sustaining productive relationships with Kroger employees as well as the suppliers that we represent Decision Making - identifying and understanding issues, problems and opportunities; comparing data from different sources to draw conclusions; using effective approaches for choosing a course of action or developing appropriate solutions; taking action that is consistent with available facts, constraints and probable consequences Inclusion - appreciating and leveraging the capabilities, insights and ideas of all individuals; working effectively with individuals of diverse style, ability and motivation for a direct effect on business results Initiating Action - taking prompt action to accomplish objectives; taking action to achieve goals beyond what is required; being proactive; generating innovative solutions in work situations Leadership - ability to recognize and provide training opportunities; give clear direction to accomplish assigned tasks; hold others to high standards of accountability and address issues when needed in a way that encourages, not discourages the employee Negotiation - effectively exploring alternatives and positions to reach outcomes that gain the support and acceptance of all parties Self-Starter - working the majority of the time without direct supervision; prioritizing, organizing and completing workload accurately within allotted time period Work Standards - setting high standards of performance for self and others; assuming responsibility and accountability for successfully completing assignments or tasks; self-imposing standards of excellence rather than having standards imposed Technical Aptitude - ability to adopt and apply various technologies to find solutions with logical reasoning and minimal supervision.
03/06/2026
Full time
Business Intelligence DeveloperApplylocations: Corporate Office Newporttime type: Full timeposted on: Posted Yesterdayjob requisition id: JR103909 POSITION SUMMARY: The Business Intelligence Developer role is responsible for engineering, testing, and deploying technical solutions that drive business value. This role involves leading and collaborating on the development and enhancement of data solutions, optimizing processes, and identifying efficiencies for stakeholders. Additionally, the developer will provide continuous technical and analytical support, offering recommendations for continuous improvement. ESSENTIAL JOB FUNCTIONS: Solution Engineering and Automation: + Design, develop, and support client facing solutions, APIs, and processes to enable rapid delivery of business capabilities. + Serve as a technical expert in system and application design. + Provide strategic direction, recommendations, and leadership in developing and executing business intelligence processes. + Proactively identify and implement efficiencies through process improvement and automation. + Troubleshoot data integrity, user, and system challenges, and work with users to achieve positive results. Insights & Reporting: + Leverage expertise in multiple corporate and syndicated sources (such as 84.51, Circana, etc.) to deliver expert analysis. + Support strategic decision making by delivering actionable insights and data-driven recommendations. + Develop, automate, and distribute reports routinely using BI tools and analytics platforms. Collaboration & Stakeholder Engagement: + Collaborate with business and technical stakeholders to identify, document and prioritize business intelligence initiatives based on business needs. + Stay informed on industry and business opportunities impacting customer stakeholders and P.L. Marketing. + Professionally and effectively represent P.L. Marketing to Kroger teams and external partners. Technical Knowledge, Training and Ongoing Learning: + Optimize and enhance BI tools, systems and reports by staying current on BI solutions and best practices. + Continuously learn and adopt new technologies, platforms & methodologies. + Mentor and guide junior team members. + Provide training and support to stakeholders and end users. + Produce technical guides for end users and team members. Project & Compliance Management: + Organize, prioritize and manage multiple projects with minimal supervision. + Ensure compliance with data governance, security policies and best practices. Must be able to perform the essential functions of this position with or without reasonable accommodation MINIMUM POSITION QUALIFICATIONS: Bachelor's degree in data Analytics, Information Systems, Computer Science, Business, Statistics, or Economics preferred. Minimum 5-years' experience in a technical, analytical or business intelligence role. Strong analytical and problem-solving skills required, including a thorough understanding of how to interpret business needs and translate them into a deliverable solution. Preferred experience in Kroger corporate systems and syndicated sources such as 84.51, Market 6, Mintel and Circana. Proficient in MS SQL for querying, data transformation and reporting. Experience with ETL, automation processes, and API integrations (Python, Alteryx, etc.). Hands-on experience with Business Intelligence and reporting tools, including Business Objects, Power Pivot, etc. Expertise with Microsoft Office 365 applications (Excel, PowerPoint, Word, Outlook). Proficient in data visualization tools. Power BI experience preferred. Strong organizational, leadership, and teamwork skills. Ability to effectively communicate deliverables to all levels, in person, virtually, and through written communication. Highly motivated self-starter who can work with minimal supervision. Ability to build and maintain positive and productive business relationships with users and team members Ability to prioritize and multi-task Experience functioning in a Corporate Office hybrid environment MINIMUM PHYSICAL ABILITIES: Must be able to: + remain standing/sitting for several hours at a time + have unlimited manual dexterity DESIRED PREVIOUS JOB EXPERIENCE: Business Intelligence Developer Business Intelligence Analyst Business Intelligence Process Manager Data Engineer Data Analyst Information Systems Analyst Information Technology/Systems COMPETENCIES/SKILLS: Some of the Competencies/Skills required to successfully perform this position are: Adaptability - maintaining effectiveness when experiencing major changes in work tasks or the work environment; adjusting effectively to work within new work structures, processes, requirements or cultures Building Strategic Working Relationships - developing and using collaborative relationships to facilitate the accomplishment of work goals Building Trust - interacting with Kroger employees, customers and suppliers in a way that gives Kroger Division and Corporate Management confidence in one's intentions and those of the organization Communication - clearly conveying information and ideas through a variety of media to individuals or groups in the English language Customer Focus - making Kroger customers and their needs a primary focus of one's actions; developing and sustaining productive relationships with Kroger employees as well as the suppliers that we represent Decision Making - identifying and understanding issues, problems and opportunities; comparing data from different sources to draw conclusions; using effective approaches for choosing a course of action or developing appropriate solutions; taking action that is consistent with available facts, constraints and probable consequences Inclusion - appreciating and leveraging the capabilities, insights and ideas of all individuals; working effectively with individuals of diverse style, ability and motivation for a direct effect on business results Initiating Action - taking prompt action to accomplish objectives; taking action to achieve goals beyond what is required; being proactive; generating innovative solutions in work situations Leadership - ability to recognize and provide training opportunities; give clear direction to accomplish assigned tasks; hold others to high standards of accountability and address issues when needed in a way that encourages, not discourages the employee Negotiation - effectively exploring alternatives and positions to reach outcomes that gain the support and acceptance of all parties Self-Starter - working the majority of the time without direct supervision; prioritizing, organizing and completing workload accurately within allotted time period Work Standards - setting high standards of performance for self and others; assuming responsibility and accountability for successfully completing assignments or tasks; self-imposing standards of excellence rather than having standards imposed Technical Aptitude - ability to adopt and apply various technologies to find solutions with logical reasoning and minimal supervision.
Our Borrowing Analytics Engineering Team: Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that's making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we're looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. Serving as a data architect for Monzo's Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite. Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases. Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards. Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance. Being a key technical leader who's able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond. We'd love to hear from you : You have a strong passion for data modelling, ETL projects, and Big Data. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts. You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. You have experience building robust and reliable data sets that require a high level of control. You enjoy working with cross functional fast moving teams and are passionate about serving our customers. You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers. You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture. You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business. You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan's deliverables. You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering. Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. The interview process: Our interview process involves 4 main stages: Technical task 3 x 1 hours sessions (final interview) Our average process takes around 3-4 weeks but we will always work around your availability. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here
01/06/2026
Full time
Our Borrowing Analytics Engineering Team: Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that's making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we're looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. Serving as a data architect for Monzo's Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite. Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases. Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards. Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance. Being a key technical leader who's able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond. We'd love to hear from you : You have a strong passion for data modelling, ETL projects, and Big Data. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts. You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. You have experience building robust and reliable data sets that require a high level of control. You enjoy working with cross functional fast moving teams and are passionate about serving our customers. You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers. You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture. You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business. You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan's deliverables. You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering. Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. The interview process: Our interview process involves 4 main stages: Technical task 3 x 1 hours sessions (final interview) Our average process takes around 3-4 weeks but we will always work around your availability. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here
Our Borrowing Analytics Engineering Team: Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that's making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we're looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. Serving as a data architect for Monzo's Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite. Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases. Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards. Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance. Being a key technical leader who's able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond. We'd love to hear from you : You have a strong passion for data modelling, ETL projects, and Big Data. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts. You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. You have experience building robust and reliable data sets that require a high level of control. You enjoy working with cross functional fast moving teams and are passionate about serving our customers. You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers. You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture. You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business. You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan's deliverables. You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering. Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. The interview process: Our interview process involves 4 main stages: Technical task 3 x 1 hours sessions (final interview) Our average process takes around 3-4 weeks but we will always work around your availability. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here
01/06/2026
Full time
Our Borrowing Analytics Engineering Team: Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that's making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we're looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. Serving as a data architect for Monzo's Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite. Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases. Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards. Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance. Being a key technical leader who's able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond. We'd love to hear from you : You have a strong passion for data modelling, ETL projects, and Big Data. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts. You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. You have experience building robust and reliable data sets that require a high level of control. You enjoy working with cross functional fast moving teams and are passionate about serving our customers. You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers. You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture. You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business. You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan's deliverables. You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering. Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. The interview process: Our interview process involves 4 main stages: Technical task 3 x 1 hours sessions (final interview) Our average process takes around 3-4 weeks but we will always work around your availability. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. And much more, see our full list of benefits here
Role Profile: Performance Analyst About Nimble Nimble is a boutique technology consultancy based in the UK North; Sheffield, Leeds and Manchester. We partner with ambitious clients across the public and private sectors to design, build, and optimize digital services that deliver real value. We pride ourselves on our agile mindset, our creative problem solving, and our collaborative culture. The Role As a Performance Analyst at Nimble, you will play a critical role in ensuring that the digital products and services we build are driven by robust data and actionable insights. You will work within multidisciplinary, agile delivery teams-alongside Product Managers, Designers, and Software Engineers-to champion a culture of data driven decision making. You will be responsible for designing performance measurement frameworks, configuring analytics tools, and translating complex data into compelling stories that guide our clients' strategic direction and improve the end user experience. Key Responsibilities Define Performance Metrics: Work closely with clients and internal stakeholders to define what "success" looks like, establishing clear Key Performance Indicators (KPIs) and performance measurement frameworks for digital services. Implement & Configure Analytics: Lead the setup, configuration, and management of digital analytics solutions, predominantly using Google Analytics (GA4) and Google Tag Manager, ensuring accurate data collection across platforms. Data Analysis & Insight Generation: Collect, cleanse, and analyze quantitative and qualitative data to understand user behaviour, identify pain points, and uncover opportunities for iterative service improvement. Dashboarding & Reporting: Design and build automated, intuitive dashboards (using tools like Looker Studio, Power BI, or Tableau) to communicate real time service performance to both technical teams and non technical stakeholders. A/B & Multivariate Testing: Design, run, and interpret experiments to test hypotheses and optimize user journeys, ensuring all findings are robust and statistically significant. Consultative Guidance: Act as a trusted advisor to clients. Present complex data in a clear, compelling way, challenging assumptions and providing evidence based recommendations that align with business goals and user needs. Agile Collaboration: Embed yourself in agile delivery teams, ensuring that performance metrics are considered at every stage of the product lifecycle (Discovery, Alpha, Beta, Live). Core Skills & Experience Digital Analytics Expertise: Proven, hands on experience using Google Analytics (GA4) to track user behaviour and measure digital performance. Experience with Google Tag Manager is highly desirable. Data Visualization: Strong capability in building clear, accessible reports and dashboards using visualization tools (e.g., Looker Studio, Power BI, Tableau). Consultancy & Communication Skills: Exceptional ability to translate complex data into actionable, easy to understand insights for diverse audiences. You must be comfortable managing client relationships, facilitating workshops, and presenting findings to senior stakeholders. Agile & User Centered Design: Deep understanding of agile methodologies and how data informs iterative, user centered design. Note: Familiarity with the UK Government Digital Service (GDS) standard is a strong advantage for public sector projects. Technical Proficiency: Comfortable working with data manipulation and querying languages (e.g., SQL, Excel/Google Sheets, and ideally basics of Python or R). Problem Solving Mindset: A proactive approach to identifying data gaps, troubleshooting analytics implementations, and finding innovative ways to measure non standard digital interactions. What We Offer Impactful Work: The opportunity to shape digital services that impact thousands of users across the UK. Collaborative Culture: A supportive, tight knit environment where knowledge sharing and continuous learning are highly valued. Professional Growth: Dedicated training budgets and pathways to develop your technical skills and consultancy expertise. Flexible Working: A hybrid working model tailored to balance client needs with your personal well being. What are our benefits Private healthcare for you and a family member through Westfield Health Multiple Qualified Mental Health First Aider's with regular 1 1's available £2k champion fund to spend as you wish on your own L&D Referral scheme (£3,000) for every successful applicant Dedicated time to spend on your L&D, including time to complete courses and qualifications Flat organisational structure with lots of career progression opportunities Laptop and any practicable equipment provided (either a Mac or Windows) Regular Nimble Socials (both virtual & physical) including Escape rooms, Gin tasting, Lunches, Award nights, Bowling, Bouldering and more! Relaxed and fun working environment Engaging and collaborative communities to be involved in A chance to be involved in company OKRs and shape how we will be in the future 25 days holiday allowance + bank holidays Company pension (with employer contributions) Equal Opportunities Statement: At Nimble Approach, we strongly believe that discrimination and victimisation is unacceptable. It is our duty to ensure that no employee or job applicant receives less favourable facilities or treatment (either directly or indirectly) in recruitment or employment on grounds of age, disability, gender / gender reassignment, marriage / civil partnership, pregnancy / maternity, race, religion or belief, sex, or sexual orientation (the protected characteristics). Our aim is that our workforce will be truly representative of society and each employee feels respected and able to give their best. We want everyone at Nimble and those applying to join us to feel safe, supported and encouraged so if we can make any adjustments to help with your application or you require any assistance, please reach out to us on and we are happy to help.
21/05/2026
Full time
Role Profile: Performance Analyst About Nimble Nimble is a boutique technology consultancy based in the UK North; Sheffield, Leeds and Manchester. We partner with ambitious clients across the public and private sectors to design, build, and optimize digital services that deliver real value. We pride ourselves on our agile mindset, our creative problem solving, and our collaborative culture. The Role As a Performance Analyst at Nimble, you will play a critical role in ensuring that the digital products and services we build are driven by robust data and actionable insights. You will work within multidisciplinary, agile delivery teams-alongside Product Managers, Designers, and Software Engineers-to champion a culture of data driven decision making. You will be responsible for designing performance measurement frameworks, configuring analytics tools, and translating complex data into compelling stories that guide our clients' strategic direction and improve the end user experience. Key Responsibilities Define Performance Metrics: Work closely with clients and internal stakeholders to define what "success" looks like, establishing clear Key Performance Indicators (KPIs) and performance measurement frameworks for digital services. Implement & Configure Analytics: Lead the setup, configuration, and management of digital analytics solutions, predominantly using Google Analytics (GA4) and Google Tag Manager, ensuring accurate data collection across platforms. Data Analysis & Insight Generation: Collect, cleanse, and analyze quantitative and qualitative data to understand user behaviour, identify pain points, and uncover opportunities for iterative service improvement. Dashboarding & Reporting: Design and build automated, intuitive dashboards (using tools like Looker Studio, Power BI, or Tableau) to communicate real time service performance to both technical teams and non technical stakeholders. A/B & Multivariate Testing: Design, run, and interpret experiments to test hypotheses and optimize user journeys, ensuring all findings are robust and statistically significant. Consultative Guidance: Act as a trusted advisor to clients. Present complex data in a clear, compelling way, challenging assumptions and providing evidence based recommendations that align with business goals and user needs. Agile Collaboration: Embed yourself in agile delivery teams, ensuring that performance metrics are considered at every stage of the product lifecycle (Discovery, Alpha, Beta, Live). Core Skills & Experience Digital Analytics Expertise: Proven, hands on experience using Google Analytics (GA4) to track user behaviour and measure digital performance. Experience with Google Tag Manager is highly desirable. Data Visualization: Strong capability in building clear, accessible reports and dashboards using visualization tools (e.g., Looker Studio, Power BI, Tableau). Consultancy & Communication Skills: Exceptional ability to translate complex data into actionable, easy to understand insights for diverse audiences. You must be comfortable managing client relationships, facilitating workshops, and presenting findings to senior stakeholders. Agile & User Centered Design: Deep understanding of agile methodologies and how data informs iterative, user centered design. Note: Familiarity with the UK Government Digital Service (GDS) standard is a strong advantage for public sector projects. Technical Proficiency: Comfortable working with data manipulation and querying languages (e.g., SQL, Excel/Google Sheets, and ideally basics of Python or R). Problem Solving Mindset: A proactive approach to identifying data gaps, troubleshooting analytics implementations, and finding innovative ways to measure non standard digital interactions. What We Offer Impactful Work: The opportunity to shape digital services that impact thousands of users across the UK. Collaborative Culture: A supportive, tight knit environment where knowledge sharing and continuous learning are highly valued. Professional Growth: Dedicated training budgets and pathways to develop your technical skills and consultancy expertise. Flexible Working: A hybrid working model tailored to balance client needs with your personal well being. What are our benefits Private healthcare for you and a family member through Westfield Health Multiple Qualified Mental Health First Aider's with regular 1 1's available £2k champion fund to spend as you wish on your own L&D Referral scheme (£3,000) for every successful applicant Dedicated time to spend on your L&D, including time to complete courses and qualifications Flat organisational structure with lots of career progression opportunities Laptop and any practicable equipment provided (either a Mac or Windows) Regular Nimble Socials (both virtual & physical) including Escape rooms, Gin tasting, Lunches, Award nights, Bowling, Bouldering and more! Relaxed and fun working environment Engaging and collaborative communities to be involved in A chance to be involved in company OKRs and shape how we will be in the future 25 days holiday allowance + bank holidays Company pension (with employer contributions) Equal Opportunities Statement: At Nimble Approach, we strongly believe that discrimination and victimisation is unacceptable. It is our duty to ensure that no employee or job applicant receives less favourable facilities or treatment (either directly or indirectly) in recruitment or employment on grounds of age, disability, gender / gender reassignment, marriage / civil partnership, pregnancy / maternity, race, religion or belief, sex, or sexual orientation (the protected characteristics). Our aim is that our workforce will be truly representative of society and each employee feels respected and able to give their best. We want everyone at Nimble and those applying to join us to feel safe, supported and encouraged so if we can make any adjustments to help with your application or you require any assistance, please reach out to us on and we are happy to help.
Data Analyst Apprenticeship - Heathrow Shared Apprenticeship Scheme The Heathrow Shared Apprenticeship Scheme is one of the UK's most exciting apprenticeship programmes. The scheme provides career changing opportunities for residents close to the airport. Job Description An apprentice data analyst is responsible for collecting, inputting and outputting data, cleaning and preparing it for analysis, and creating basic reports and visualisations. They support more experienced analysts in modelling data and may also be involved in basic programming tasks. As they gain experience, apprentices are expected to learn new tools and techniques and take on more complex responsibilities in the field of data analysis. Duties may include: Identify data sources to meet the organisation's requirements using evidence-based decision making to create various data. Collaborating/working with clients and colleagues to determine reporting needs and deliver accurate information. Collect, compile and, if needed, cleanse data. Solving any problems that arise from a range of internal and external systems. Generate performance dashboards and reports during the Visualisation and Model Building phase. Maintain and develop reports for analysis, ensuring compliance with organisational policies and legislation. Create standard and non-standard statistical and data analysis reports. Analyse and interpret data trends and patterns, drawing conclusions and providing guidance for understanding. Summarise and present data analysis results to stakeholders, offering recommendations. Ensure data storage and archiving align with relevant legislation, such as GDPR. Using databases including PowerBI, Python and Excel. Using programme languages such as SQL, HTML, JSONS etc. Typical Working Week 40 hours p/w with start time typically between 07:00 & 08:00 inclusive of paid 8 hours at college. Person Specification Proactive approach, taking pride in their work and taking accountability for decisions. A love of variety in a role and ability to adapt to a dynamic, fast-paced working environment. Ability to quickly prioritise tasks and the initiative to dive head-first into problem solving. No two days are the same on the front line and not every day goes to plan, so you'll need to be quick on your feet to respond! Excellent communication and collaboration skills and enjoy working with multiple teams. Ability to analyse and interpret information and effectively communicate this to different team members and audiences. Ability to visit different sites and training days. Curiosity to learn quickly in a reactive and dynamic working environment. Ability to work in all weather conditions to serve our customers and protect the environment. Able to understand and follow health and safety protocols. Qualifications required/desirable English and Maths at GCSE Grade 4 / C or above, or Functional Skills at Level 2 or above. Desired Requirements A high interest in developing your knowledge and understanding of key concepts and techniques that help organisations effectively use data to make decisions. Key Training/College Information K10 will enrol you to the Level 4 Data Analyst course and fund your qualifications through an accredited training provider. The apprenticeship duration is 24 months with up to 3 months for your End Point Assessment (EPA). To be eligible for the Heathrow Shared Apprenticeship Scheme, you must reside in one of the following regions: Hillingdon Hounslow Ealing Spelthorne Windsor & Maidenhead South Buckinghamshire Elmbridge Slough Runnymede To start this apprenticeship, you'll need to be: Living in England for the last 3 years and have right to work status. Not enrolled on any other courses. 18+ due to site H&S rules. We are committed to protecting your personal data. Any information you provide as part of the recruitment process will be processed in accordance with the UK General Data Protection Regulation (UK GDPR) and the Data Protection Act 2018. Your data will be used solely for the purposes of assessing your suitability for the role and for related recruitment activities. If you are unsuccessful, we will retain your personal data for 24 months following the conclusion of the recruitment process, after which it will be securely deleted, unless we are required to retain it for legal or regulatory reasons. You have the right to withdraw your consent and request deletion of your data at any time during this period. To do so, please contact .
20/05/2026
Full time
Data Analyst Apprenticeship - Heathrow Shared Apprenticeship Scheme The Heathrow Shared Apprenticeship Scheme is one of the UK's most exciting apprenticeship programmes. The scheme provides career changing opportunities for residents close to the airport. Job Description An apprentice data analyst is responsible for collecting, inputting and outputting data, cleaning and preparing it for analysis, and creating basic reports and visualisations. They support more experienced analysts in modelling data and may also be involved in basic programming tasks. As they gain experience, apprentices are expected to learn new tools and techniques and take on more complex responsibilities in the field of data analysis. Duties may include: Identify data sources to meet the organisation's requirements using evidence-based decision making to create various data. Collaborating/working with clients and colleagues to determine reporting needs and deliver accurate information. Collect, compile and, if needed, cleanse data. Solving any problems that arise from a range of internal and external systems. Generate performance dashboards and reports during the Visualisation and Model Building phase. Maintain and develop reports for analysis, ensuring compliance with organisational policies and legislation. Create standard and non-standard statistical and data analysis reports. Analyse and interpret data trends and patterns, drawing conclusions and providing guidance for understanding. Summarise and present data analysis results to stakeholders, offering recommendations. Ensure data storage and archiving align with relevant legislation, such as GDPR. Using databases including PowerBI, Python and Excel. Using programme languages such as SQL, HTML, JSONS etc. Typical Working Week 40 hours p/w with start time typically between 07:00 & 08:00 inclusive of paid 8 hours at college. Person Specification Proactive approach, taking pride in their work and taking accountability for decisions. A love of variety in a role and ability to adapt to a dynamic, fast-paced working environment. Ability to quickly prioritise tasks and the initiative to dive head-first into problem solving. No two days are the same on the front line and not every day goes to plan, so you'll need to be quick on your feet to respond! Excellent communication and collaboration skills and enjoy working with multiple teams. Ability to analyse and interpret information and effectively communicate this to different team members and audiences. Ability to visit different sites and training days. Curiosity to learn quickly in a reactive and dynamic working environment. Ability to work in all weather conditions to serve our customers and protect the environment. Able to understand and follow health and safety protocols. Qualifications required/desirable English and Maths at GCSE Grade 4 / C or above, or Functional Skills at Level 2 or above. Desired Requirements A high interest in developing your knowledge and understanding of key concepts and techniques that help organisations effectively use data to make decisions. Key Training/College Information K10 will enrol you to the Level 4 Data Analyst course and fund your qualifications through an accredited training provider. The apprenticeship duration is 24 months with up to 3 months for your End Point Assessment (EPA). To be eligible for the Heathrow Shared Apprenticeship Scheme, you must reside in one of the following regions: Hillingdon Hounslow Ealing Spelthorne Windsor & Maidenhead South Buckinghamshire Elmbridge Slough Runnymede To start this apprenticeship, you'll need to be: Living in England for the last 3 years and have right to work status. Not enrolled on any other courses. 18+ due to site H&S rules. We are committed to protecting your personal data. Any information you provide as part of the recruitment process will be processed in accordance with the UK General Data Protection Regulation (UK GDPR) and the Data Protection Act 2018. Your data will be used solely for the purposes of assessing your suitability for the role and for related recruitment activities. If you are unsuccessful, we will retain your personal data for 24 months following the conclusion of the recruitment process, after which it will be securely deleted, unless we are required to retain it for legal or regulatory reasons. You have the right to withdraw your consent and request deletion of your data at any time during this period. To do so, please contact .
Company description: ClearCourse Job description: Role description: As a Data Analyst, you will play a vital role in driving data transformation, data extraction, and reporting across our product portfolio. Collaborating with Product Management and other stakeholders, you will gather data requirements, analyse structures, validate integrity, and ensure reliable data pipelines. Your work will also support system data integration, troubleshooting, and continuous data quality assurance. By delivering accurate, timely, and well-structured insights through dashboards and reports, you will enable informed decision-making, improve operational efficiency, and elevate the customer experience-contributing directly to the success of our retail products. You are also responsible for ensuring all work complies with relevant security and data protection standards, keeping user data safe and protecting our systems against vulnerabilities. Key Accountabilities: Contribute to the data analysis efforts to support Swan's Products modelling and decision-making processes. Develop and maintain complex SQL queries and scripts using PostgreSQL and OLAP database (i.e. Snowflake). Utilise Data Visualization tools (i.e. AWS QuickSight, Power BI, JasperReports, etc) to create and manage reports, data extractions, visualisations and dashboards. Ensure data accuracy and integrity by performing regular data validation and cleansing. Stay updated with industry trends and best practices in data analytics and financial modelling. You embrace the roadmap, support its evolution, and deliver to the best of your ability, with quality and speed in balance. Proactive communication with internal teams and clients is essential. You must clearly explain technical concepts to non-technical audiences, flag risks early, and contribute to discussions on scope and timelines. Required skills and experience: Bachelor's degree in Computer Science, Information Technology, or a related field. Proficiency in SQL, with experience in MSSQL and PostgreSQL. Experience with data visualization tools like Excel, Power BI, Tableau, or similar. Experience with ETL tools, preferably Talend. Basic understanding of OLAP concepts and data warehousing principles. Familiarity with Python for data manipulation and scripting. Strong analytical and problem-solving skills. Experience in agile environments and working with ticketing systems (e.g., Jira). Note: Our tech stack may vary across projects and teams. This list is a guide - we evolve our tooling to better develop and deliver our products Developers and Analysts must also be ready to maintain and enhance legacy systems that may rely on older technologies or deprecated frameworks as part of our product portfolio. Nice to have: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of data governance and security best practices. Proficiency with Git and modern development workflows (CI/CD). Knowledge of performance tuning and scalability principles. Knowledge of Java programming. Required behaviours and attributes: Maintain a mindset of improvement. Open-minded and solution oriented. Communicate with clarity and empathy across teams, including Support, Product, Implementation and Sales. Be open to feedback and take it positively, working to resolve disagreements in a constructive way. Participate in technical discussions, planning meetings, and backlog grooming. Cares about product and data quality, balances technical excellence with delivery speed. What we offer: 25 days annual leave + your birthday off Private medical insurance (Bupa), incl. mental health & optical cover Health cash plan to support everyday costs Life assurance (4x salary) & Group income protection (75% salary) Enhanced parental leave & family wellbeing support via Peppy Health Employee perks & discounts through Perkbox Cycle to Work scheme Generous pension contributions Training budgets & reimbursement for professional qualifications If you're looking for a role where you can learn, grow, and make an impact from day one - apply now.
03/10/2025
Full time
Company description: ClearCourse Job description: Role description: As a Data Analyst, you will play a vital role in driving data transformation, data extraction, and reporting across our product portfolio. Collaborating with Product Management and other stakeholders, you will gather data requirements, analyse structures, validate integrity, and ensure reliable data pipelines. Your work will also support system data integration, troubleshooting, and continuous data quality assurance. By delivering accurate, timely, and well-structured insights through dashboards and reports, you will enable informed decision-making, improve operational efficiency, and elevate the customer experience-contributing directly to the success of our retail products. You are also responsible for ensuring all work complies with relevant security and data protection standards, keeping user data safe and protecting our systems against vulnerabilities. Key Accountabilities: Contribute to the data analysis efforts to support Swan's Products modelling and decision-making processes. Develop and maintain complex SQL queries and scripts using PostgreSQL and OLAP database (i.e. Snowflake). Utilise Data Visualization tools (i.e. AWS QuickSight, Power BI, JasperReports, etc) to create and manage reports, data extractions, visualisations and dashboards. Ensure data accuracy and integrity by performing regular data validation and cleansing. Stay updated with industry trends and best practices in data analytics and financial modelling. You embrace the roadmap, support its evolution, and deliver to the best of your ability, with quality and speed in balance. Proactive communication with internal teams and clients is essential. You must clearly explain technical concepts to non-technical audiences, flag risks early, and contribute to discussions on scope and timelines. Required skills and experience: Bachelor's degree in Computer Science, Information Technology, or a related field. Proficiency in SQL, with experience in MSSQL and PostgreSQL. Experience with data visualization tools like Excel, Power BI, Tableau, or similar. Experience with ETL tools, preferably Talend. Basic understanding of OLAP concepts and data warehousing principles. Familiarity with Python for data manipulation and scripting. Strong analytical and problem-solving skills. Experience in agile environments and working with ticketing systems (e.g., Jira). Note: Our tech stack may vary across projects and teams. This list is a guide - we evolve our tooling to better develop and deliver our products Developers and Analysts must also be ready to maintain and enhance legacy systems that may rely on older technologies or deprecated frameworks as part of our product portfolio. Nice to have: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Understanding of data governance and security best practices. Proficiency with Git and modern development workflows (CI/CD). Knowledge of performance tuning and scalability principles. Knowledge of Java programming. Required behaviours and attributes: Maintain a mindset of improvement. Open-minded and solution oriented. Communicate with clarity and empathy across teams, including Support, Product, Implementation and Sales. Be open to feedback and take it positively, working to resolve disagreements in a constructive way. Participate in technical discussions, planning meetings, and backlog grooming. Cares about product and data quality, balances technical excellence with delivery speed. What we offer: 25 days annual leave + your birthday off Private medical insurance (Bupa), incl. mental health & optical cover Health cash plan to support everyday costs Life assurance (4x salary) & Group income protection (75% salary) Enhanced parental leave & family wellbeing support via Peppy Health Employee perks & discounts through Perkbox Cycle to Work scheme Generous pension contributions Training budgets & reimbursement for professional qualifications If you're looking for a role where you can learn, grow, and make an impact from day one - apply now.
Job Introduction The BBC SEO team's mission is to ensure new and returning audiences are discovering and choosing the BBC in search engines whilst also contributing towards the wider Product Group strategy. We do this by growing our search engine audiences and by creating a culture of SEO at the BBC. This will be achieved by embracing technical innovation, approaching editorial optimisation with creativity and empowering our teams with search data. Role Responsibility Reporting into the SEO Manager, the Senior SEO Analyst for BBC iPlayer will help drive our mission and will be an integral part in delivering the SEO strategy at a product and editorial level. The Senior SEO Analyst will also support and feed into the overall BBC SEO team to ensure the BBC can benefit from our decisions at an organisational level. This is an exciting role with the opportunity to work on one of the most exciting and innovative video products in the World. We're looking for someone with a passion for SEO and also shares our vision for the value that SEO can provide to BBC iPlayer and therefore, its audiences. The Senior SEO Analyst for BBC iPlayer will be responsible for: Identifying, prioritising and driving technical innovation to improve SEO of the BBC iPlayer website. Monitoring, improving upon and maintaining the technical SEO health of BBC iPlayer. Being a key point of contact for SEO support within the iPlayer product team and wider product group. Working with the data team to ensure SEO data is properly ingested, organised and made available to BBC iPlayer. Educating teams on how to use SEO data to improve BBC iPlayer and empower decision making. Working closely with the Digital Marketing team to ensure SEO is considered and embedded into marketing campaigns. Contributing towards the Digital Marketing teams efforts in App Store Optimisation of the iPlayer app. Building strong relationships with key stakeholders to ensure SEO is included in senior decision making. Supporting the wider SEO team on pan-BBC and product specific targets and priorities. Are you the right candidate? For your application to be considered, you'll need to have the following: Strong knowledge of SEO best practice and extensive knowledge of search engine technology. Able to solve and provide guidance on complex technical SEO problems and briefs. Practical knowledge of editorial/content optimisation techniques and their impact on ranking. Experience of working with, analysing and reporting on large data sets to improve upon SEO. Can present complex concepts in a simple manner to ensure teams are able to act upon recommendations. Strong experience of using industry-standard SEO tools. If you also have the below, it will be beneficial to your application: An interest in video content and the value it can provide to audiences. Experience of working with data visualisation tools such as Tableau or Google Data Studio. Experience of line managing and leading a small team towards a shared goal. An understanding of or interest in languages such as SQL, Python or R. NB: Please note the internal BBC job title will be 'Principal Data Analyst' Package Description Band: D Contract type: Perm Location: Hybrid working (part home/part office). Office base can be Salford, Glasgow, Cardiff, Newcastle or London We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. The situation regarding the coronavirus outbreak is developing quickly and the BBC is keen to continue to ensure the safety and wellbeing of people across the BBC, while continuing to protect our services. To reduce the risk access to BBC buildings is limited to those essential to our broadcast output. From Wednesday 18 th March until further notice all assessments and interviews will be conducted remotely. For more information go to Mae'r sefyllfa gyda'r coronafeirws yn datblygu'n gyflym, ac mae'r BBC yn awyddus i barhau i sicrhau diogelwch a lles pobl ar draws y BBC, gan barhau i warchod ein gwasanaethau hefyd. I leihau'r risg, dim ond y bobl sy'n hanfodol i'n hallbwn darlledu fydd yn cael mynediad i adeiladau'r BBC. O ddydd Mercher 18 fed Mawrth ymlaen, bydd pob asesiad a chyfweliad yn cael ei gynnal o bell, nes rhoddir gwybod yn wahanol. I gael mwy o wybodaeth, ewch i About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here
24/09/2022
Full time
Job Introduction The BBC SEO team's mission is to ensure new and returning audiences are discovering and choosing the BBC in search engines whilst also contributing towards the wider Product Group strategy. We do this by growing our search engine audiences and by creating a culture of SEO at the BBC. This will be achieved by embracing technical innovation, approaching editorial optimisation with creativity and empowering our teams with search data. Role Responsibility Reporting into the SEO Manager, the Senior SEO Analyst for BBC iPlayer will help drive our mission and will be an integral part in delivering the SEO strategy at a product and editorial level. The Senior SEO Analyst will also support and feed into the overall BBC SEO team to ensure the BBC can benefit from our decisions at an organisational level. This is an exciting role with the opportunity to work on one of the most exciting and innovative video products in the World. We're looking for someone with a passion for SEO and also shares our vision for the value that SEO can provide to BBC iPlayer and therefore, its audiences. The Senior SEO Analyst for BBC iPlayer will be responsible for: Identifying, prioritising and driving technical innovation to improve SEO of the BBC iPlayer website. Monitoring, improving upon and maintaining the technical SEO health of BBC iPlayer. Being a key point of contact for SEO support within the iPlayer product team and wider product group. Working with the data team to ensure SEO data is properly ingested, organised and made available to BBC iPlayer. Educating teams on how to use SEO data to improve BBC iPlayer and empower decision making. Working closely with the Digital Marketing team to ensure SEO is considered and embedded into marketing campaigns. Contributing towards the Digital Marketing teams efforts in App Store Optimisation of the iPlayer app. Building strong relationships with key stakeholders to ensure SEO is included in senior decision making. Supporting the wider SEO team on pan-BBC and product specific targets and priorities. Are you the right candidate? For your application to be considered, you'll need to have the following: Strong knowledge of SEO best practice and extensive knowledge of search engine technology. Able to solve and provide guidance on complex technical SEO problems and briefs. Practical knowledge of editorial/content optimisation techniques and their impact on ranking. Experience of working with, analysing and reporting on large data sets to improve upon SEO. Can present complex concepts in a simple manner to ensure teams are able to act upon recommendations. Strong experience of using industry-standard SEO tools. If you also have the below, it will be beneficial to your application: An interest in video content and the value it can provide to audiences. Experience of working with data visualisation tools such as Tableau or Google Data Studio. Experience of line managing and leading a small team towards a shared goal. An understanding of or interest in languages such as SQL, Python or R. NB: Please note the internal BBC job title will be 'Principal Data Analyst' Package Description Band: D Contract type: Perm Location: Hybrid working (part home/part office). Office base can be Salford, Glasgow, Cardiff, Newcastle or London We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. The situation regarding the coronavirus outbreak is developing quickly and the BBC is keen to continue to ensure the safety and wellbeing of people across the BBC, while continuing to protect our services. To reduce the risk access to BBC buildings is limited to those essential to our broadcast output. From Wednesday 18 th March until further notice all assessments and interviews will be conducted remotely. For more information go to Mae'r sefyllfa gyda'r coronafeirws yn datblygu'n gyflym, ac mae'r BBC yn awyddus i barhau i sicrhau diogelwch a lles pobl ar draws y BBC, gan barhau i warchod ein gwasanaethau hefyd. I leihau'r risg, dim ond y bobl sy'n hanfodol i'n hallbwn darlledu fydd yn cael mynediad i adeiladau'r BBC. O ddydd Mercher 18 fed Mawrth ymlaen, bydd pob asesiad a chyfweliad yn cael ei gynnal o bell, nes rhoddir gwybod yn wahanol. I gael mwy o wybodaeth, ewch i About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here
Job Introduction The BBC SEO team's mission is to ensure new and returning audiences are discovering and choosing the BBC in search engines whilst also contributing to the wider Product Group strategy. We do this by growing our search engine audiences and by creating a culture of SEO at the BBC. This will be achieved by embracing technical innovation, approaching editorial optimisation with creativity and empowering our teams with search data. Role Responsibility Reporting to the SEO Manager, the Senior SEO Analyst for BBC Children's & Education will help drive our mission and will be an integral part of delivering the SEO strategy at a product and editorial level. The Senior SEO Analyst will also support and feed into the overall BBC SEO team to ensure the BBC can benefit from our decisions at an organisational level. This is an exciting role with the opportunity to work on a vast array of popular websites ranging from BBC Bitesize to CBBC and CBeebies whilst also supporting our long-tail products. We're looking for someone with a passion for SEO and who also shares our vision for the value that SEO can provide to BBC C&E and therefore, its audiences. The Senior SEO Analyst for BBC Children's & Education will be responsible for: Identifying, prioritising and driving technical innovation to improve SEO of BBC C&E websites. Monitoring, improving upon and maintaining the technical SEO health of the BBC C&E Online estate. Being a key point of contact for SEO support within the C&E product team and wider product group. Contributing to the Digital Marketing teams efforts in App Store Optimisation of C&E's range of apps. Working with the data team to ensure SEO data is properly ingested, organised and made available to BBC C&E. Educating teams on how to use SEO data to improve BBC C&E and empower decision-making. Working closely with the editorial teams such as Newsround on our approach to editorial SEO. Building strong relationships with key stakeholders to ensure SEO is included in senior decision-making. Supporting the wider SEO team on pan-BBC and product-specific targets and priorities. Are you the right candidate? Essential Strong knowledge of SEO best practice and extensive knowledge of search engine technology. Able to solve and provide guidance on complex technical SEO problems and briefs. Practical knowledge of editorial/content optimisation techniques and its impact on ranking. Strong knowledge of App Store Optimisation techniques and analysis. Experience of working with, analysing and reporting on large data sets to improve upon SEO. Can present complex concepts in a simple manner to ensure teams are able to act upon recommendations. Strong experience of using industry-standard SEO tools. Desirable An interest in websites and content for young people and parents and the value it can provide to them. Experience of working with data visualisation tools such as Tableau or Google Data Studio. Experience of line managing and leading a small team towards a shared goal. An understanding of or interest in languages such as SQL, Python or R. NB: Please note the internal BBC job title will be 'Principal Data Analyst' Package Description Band: D Contract type: Permanent Location:Hybrid working (part home/part office). Office base can be Salford, Glasgow, Cardiff, Newcastle or London We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here
24/09/2022
Full time
Job Introduction The BBC SEO team's mission is to ensure new and returning audiences are discovering and choosing the BBC in search engines whilst also contributing to the wider Product Group strategy. We do this by growing our search engine audiences and by creating a culture of SEO at the BBC. This will be achieved by embracing technical innovation, approaching editorial optimisation with creativity and empowering our teams with search data. Role Responsibility Reporting to the SEO Manager, the Senior SEO Analyst for BBC Children's & Education will help drive our mission and will be an integral part of delivering the SEO strategy at a product and editorial level. The Senior SEO Analyst will also support and feed into the overall BBC SEO team to ensure the BBC can benefit from our decisions at an organisational level. This is an exciting role with the opportunity to work on a vast array of popular websites ranging from BBC Bitesize to CBBC and CBeebies whilst also supporting our long-tail products. We're looking for someone with a passion for SEO and who also shares our vision for the value that SEO can provide to BBC C&E and therefore, its audiences. The Senior SEO Analyst for BBC Children's & Education will be responsible for: Identifying, prioritising and driving technical innovation to improve SEO of BBC C&E websites. Monitoring, improving upon and maintaining the technical SEO health of the BBC C&E Online estate. Being a key point of contact for SEO support within the C&E product team and wider product group. Contributing to the Digital Marketing teams efforts in App Store Optimisation of C&E's range of apps. Working with the data team to ensure SEO data is properly ingested, organised and made available to BBC C&E. Educating teams on how to use SEO data to improve BBC C&E and empower decision-making. Working closely with the editorial teams such as Newsround on our approach to editorial SEO. Building strong relationships with key stakeholders to ensure SEO is included in senior decision-making. Supporting the wider SEO team on pan-BBC and product-specific targets and priorities. Are you the right candidate? Essential Strong knowledge of SEO best practice and extensive knowledge of search engine technology. Able to solve and provide guidance on complex technical SEO problems and briefs. Practical knowledge of editorial/content optimisation techniques and its impact on ranking. Strong knowledge of App Store Optimisation techniques and analysis. Experience of working with, analysing and reporting on large data sets to improve upon SEO. Can present complex concepts in a simple manner to ensure teams are able to act upon recommendations. Strong experience of using industry-standard SEO tools. Desirable An interest in websites and content for young people and parents and the value it can provide to them. Experience of working with data visualisation tools such as Tableau or Google Data Studio. Experience of line managing and leading a small team towards a shared goal. An understanding of or interest in languages such as SQL, Python or R. NB: Please note the internal BBC job title will be 'Principal Data Analyst' Package Description Band: D Contract type: Permanent Location:Hybrid working (part home/part office). Office base can be Salford, Glasgow, Cardiff, Newcastle or London We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here
Job Introduction The BBC SEO team's mission is to ensure new and returning audiences are discovering and choosing the BBC in search engines whilst also contributing towards the wider Product Group strategy. We do this by growing our search engine audiences and by creating a culture of SEO at the BBC. This will be achieved by embracing technical innovation, approaching editorial optimisation with creativity and empowering our teams with search data. Role Responsibility Reporting into the SEO Manager and Senior SEO Analyst, the SEO Analyst for BBC Sport will help drive our mission and will be an integral part in delivering SEO briefs at a product and editorial level. The SEO Analyst will also support and feed into the overall BBC SEO team to ensure the BBC can benefit from our decisions at an organisational level. This is an exciting role with the opportunity to work on one of the worlds largest and most popular sport websites. We're looking for someone with a passion for SEO and also shares our vision for the value that SEO can provide to BBC Sport and therefore, its audiences. The SEO Analyst for BBC Sport will be responsible for: Working with the Senior SEO Analyst in implementing the BBC Sport and pan-BBC SEO strategy. Assisting the Senior SEO Analyst in driving technical SEO change across the BBC Sport website. Reporting on the overall SEO health of the BBC Sport online estate and identifying areas for improvement. Being proactive on ranking opportunities and creating briefs on how we can achieve a desired goal. Working with the data team to ensure SEO data is useful, interesting and actionable. Implementing our editorial SEO strategy with editorial teams and stakeholders on an event by event basis. Being a key contributor within the BBC SEO community to contribute towards our goal of creating a culture of SEO across the organisation. Are you the right candidate? For your application to be considered, you'll need to have the following: Strong knowledge of SEO best practice and extensive knowledge of search engine technology. Practical knowledge of editorial/content optimisation techniques and its impact on ranking. Experience of working with, analysing and reporting on large data sets to improve upon SEO. Strong experience of using industry-standard SEO tools. If you also have the below, it will be beneficial to your application: An interest in sport and the value it can provide to our audiences. Experience of working with data visualisation tools such as Tableau or Google Data Studio. Knowledge or experience in working on App Store Optimisation An understanding of or interest in languages such as SQL, Python or R. NB: Please note the internal BBC job title will be 'Senior Data Analyst' Package Description Band: D Contract type: Permanent Location: Hybrid working (part home/part office). Office base can be Salford, Glasgow, Cardiff, Newcastle or London We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here
24/09/2022
Full time
Job Introduction The BBC SEO team's mission is to ensure new and returning audiences are discovering and choosing the BBC in search engines whilst also contributing towards the wider Product Group strategy. We do this by growing our search engine audiences and by creating a culture of SEO at the BBC. This will be achieved by embracing technical innovation, approaching editorial optimisation with creativity and empowering our teams with search data. Role Responsibility Reporting into the SEO Manager and Senior SEO Analyst, the SEO Analyst for BBC Sport will help drive our mission and will be an integral part in delivering SEO briefs at a product and editorial level. The SEO Analyst will also support and feed into the overall BBC SEO team to ensure the BBC can benefit from our decisions at an organisational level. This is an exciting role with the opportunity to work on one of the worlds largest and most popular sport websites. We're looking for someone with a passion for SEO and also shares our vision for the value that SEO can provide to BBC Sport and therefore, its audiences. The SEO Analyst for BBC Sport will be responsible for: Working with the Senior SEO Analyst in implementing the BBC Sport and pan-BBC SEO strategy. Assisting the Senior SEO Analyst in driving technical SEO change across the BBC Sport website. Reporting on the overall SEO health of the BBC Sport online estate and identifying areas for improvement. Being proactive on ranking opportunities and creating briefs on how we can achieve a desired goal. Working with the data team to ensure SEO data is useful, interesting and actionable. Implementing our editorial SEO strategy with editorial teams and stakeholders on an event by event basis. Being a key contributor within the BBC SEO community to contribute towards our goal of creating a culture of SEO across the organisation. Are you the right candidate? For your application to be considered, you'll need to have the following: Strong knowledge of SEO best practice and extensive knowledge of search engine technology. Practical knowledge of editorial/content optimisation techniques and its impact on ranking. Experience of working with, analysing and reporting on large data sets to improve upon SEO. Strong experience of using industry-standard SEO tools. If you also have the below, it will be beneficial to your application: An interest in sport and the value it can provide to our audiences. Experience of working with data visualisation tools such as Tableau or Google Data Studio. Knowledge or experience in working on App Store Optimisation An understanding of or interest in languages such as SQL, Python or R. NB: Please note the internal BBC job title will be 'Senior Data Analyst' Package Description Band: D Contract type: Permanent Location: Hybrid working (part home/part office). Office base can be Salford, Glasgow, Cardiff, Newcastle or London We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here
Job Introduction The BBC SEO team's mission is to ensure new and returning audiences are discovering and choosing the BBC in search engines whilst also contributing towards the wider Product Group strategy. We do this by growing our search engine audiences and by creating a culture of SEO at the BBC. This will be achieved by embracing technical innovation, approaching editorial optimisation with creativity and empowering our teams with search data. Role Responsibility Reporting into the SEO Manager, the Senior SEO Analyst for BBC World Service will help drive our mission and will be an integral part in delivering the SEO strategy at a product and editorial level. The Senior SEO Analyst will also support and feed into the overall BBC SEO team to ensure the BBC can benefit from our decisions at an organisational level. This is an exciting role with the opportunity to work on one of the worlds largest and most popular news websites who provide news for millions of people across the globe. We're looking for someone with a passion for SEO and also shares our vision for the value that SEO can provide to the World Service and therefore, its audiences. The Senior SEO Analyst for BBC World Service will be responsible for: Identifying, prioritising and driving technical innovation to improve SEO of the BBC World Service website. Monitoring, improving upon and maintaining the technical SEO health of the BBC World Service Online estate. Being a key point of contact for SEO support within the World Service product team and wider product group. Working with the data team to ensure SEO data is properly ingested, organised and made available to BBC World Service. Working with and educating teams across the world on how to use SEO data to improve the World Service and empower decision making. Working closely with the BBC Growth Team and News journalists on our approach to editorial SEO. Building strong relationships with key stakeholders to ensure SEO is included in senior decision making. Supporting the wider SEO team on pan-BBC and product specific targets and priorities. Are you the right candidate? For your application to be considered, you'll need to have the following: Strong knowledge of SEO best practice and extensive knowledge of search engine technology. Able to solve and provide guidance on complex technical SEO problems and briefs. Experience of working on international SEO techniques to rank websites across multiple countries and languages. Practical knowledge of editorial/content optimisation techniques and its impact on news ranking. Experience of working with, analysing and reporting on large data sets to improve upon SEO. Can present complex concepts in a simple manner to ensure teams are able to act upon recommendations. Strong experience of using industry-standard SEO tools. If you also have the below, it will be beneficial to your application: An interest in news and the value it can provide to our audiences. Experience of working with data visualisation tools such as Tableau or Google Data Studio. Knowledge or experience in working on App Store Optimisation Experience of line managing and leading a small team towards a shared goal. An understanding of or interest in languages such as SQL, Python or R. NB: Please note the internal BBC job title will be 'Principal Data Analyst' Package Description Band: D Contract type: Permanent Location: Hybrid working (part home/part office). Office base can be Salford, Glasgow, Cardiff, Newcastle or London We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here
24/09/2022
Full time
Job Introduction The BBC SEO team's mission is to ensure new and returning audiences are discovering and choosing the BBC in search engines whilst also contributing towards the wider Product Group strategy. We do this by growing our search engine audiences and by creating a culture of SEO at the BBC. This will be achieved by embracing technical innovation, approaching editorial optimisation with creativity and empowering our teams with search data. Role Responsibility Reporting into the SEO Manager, the Senior SEO Analyst for BBC World Service will help drive our mission and will be an integral part in delivering the SEO strategy at a product and editorial level. The Senior SEO Analyst will also support and feed into the overall BBC SEO team to ensure the BBC can benefit from our decisions at an organisational level. This is an exciting role with the opportunity to work on one of the worlds largest and most popular news websites who provide news for millions of people across the globe. We're looking for someone with a passion for SEO and also shares our vision for the value that SEO can provide to the World Service and therefore, its audiences. The Senior SEO Analyst for BBC World Service will be responsible for: Identifying, prioritising and driving technical innovation to improve SEO of the BBC World Service website. Monitoring, improving upon and maintaining the technical SEO health of the BBC World Service Online estate. Being a key point of contact for SEO support within the World Service product team and wider product group. Working with the data team to ensure SEO data is properly ingested, organised and made available to BBC World Service. Working with and educating teams across the world on how to use SEO data to improve the World Service and empower decision making. Working closely with the BBC Growth Team and News journalists on our approach to editorial SEO. Building strong relationships with key stakeholders to ensure SEO is included in senior decision making. Supporting the wider SEO team on pan-BBC and product specific targets and priorities. Are you the right candidate? For your application to be considered, you'll need to have the following: Strong knowledge of SEO best practice and extensive knowledge of search engine technology. Able to solve and provide guidance on complex technical SEO problems and briefs. Experience of working on international SEO techniques to rank websites across multiple countries and languages. Practical knowledge of editorial/content optimisation techniques and its impact on news ranking. Experience of working with, analysing and reporting on large data sets to improve upon SEO. Can present complex concepts in a simple manner to ensure teams are able to act upon recommendations. Strong experience of using industry-standard SEO tools. If you also have the below, it will be beneficial to your application: An interest in news and the value it can provide to our audiences. Experience of working with data visualisation tools such as Tableau or Google Data Studio. Knowledge or experience in working on App Store Optimisation Experience of line managing and leading a small team towards a shared goal. An understanding of or interest in languages such as SQL, Python or R. NB: Please note the internal BBC job title will be 'Principal Data Analyst' Package Description Band: D Contract type: Permanent Location: Hybrid working (part home/part office). Office base can be Salford, Glasgow, Cardiff, Newcastle or London We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here
Job Introduction The BBC SEO team's mission is to ensure new and returning audiences are discovering and choosing the BBC in search engines whilst also contributing towards the wider Product Group strategy. We do this by growing our search engine audiences and by creating a culture of SEO at the BBC. This will be achieved by embracing technical innovation, approaching editorial optimisation with creativity and empowering our teams with search data. Role Responsibility Reporting to the SEO Manager, the Senior SEO Analyst for BBC Sounds will help drive our mission and will be an integral part of delivering the SEO strategy at a product and editorial level. The Senior SEO Analyst will also support and feed into the overall BBC SEO team to ensure the BBC can benefit from our decisions at an organisational level. This is an exciting role with the opportunity to work on one of the most exciting and growing audio products in the world. We're looking for someone with a passion for SEO and who also shares our vision for the value that SEO can provide to BBC Sounds and therefore, its audiences. The Senior SEO Analyst for BBC Sounds will be responsible for: Identifying, prioritising and driving technical innovation to improve SEO of the BBC Sounds website. Monitoring, improving upon and maintaining the technical SEO health of BBC Sounds. Being a key point of contact for SEO support within the Sounds product team and wider product group. Working with the data team to ensure SEO data is properly ingested, organised and made available to BBC Sounds. Educating teams on how to use SEO data to improve BBC Sounds and empower decision making. Working closely with the Digital Marketing team to ensure SEO is considered and embedded into any campaigns. Contributing towards the Digital Marketing teams efforts in App Store Optimisation of the Sounds app. Building strong relationships with key stakeholders to ensure SEO is included in senior decision making. Supporting the wider SEO team on pan-BBC and product specific targets and priorities. Are you the right candidate? For your application to be considered, you'll need to have the following: Strong knowledge of SEO best practice and extensive knowledge of search engine technology. Able to solve and provide guidance on complex technical SEO problems and briefs. Practical knowledge of editorial/content optimisation techniques and their impact on ranking. Experience of working with, analysing and reporting on large data sets to improve upon SEO. Can present complex concepts in a simple manner to ensure teams are able to act upon recommendations. Strong experience of using industry-standard SEO tools. If you also have the below, it will be beneficial to your application: An interest in audio content such as podcasts and radio and the value it can provide to audiences. Experience of working with data visualisation tools such as Tableau or Google Data Studio. Experience of line managing and leading a small team towards a shared goal. An understanding of or interest in languages such as SQL, Python or R. NB: Please note the internal BBC job title will be 'Principal Data Analyst' Package Description Band: D Contract type: Permanent Location: Hybrid working (part home/part office). Office base can be Salford, Glasgow, Cardiff, Newcastle or London We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here
24/09/2022
Full time
Job Introduction The BBC SEO team's mission is to ensure new and returning audiences are discovering and choosing the BBC in search engines whilst also contributing towards the wider Product Group strategy. We do this by growing our search engine audiences and by creating a culture of SEO at the BBC. This will be achieved by embracing technical innovation, approaching editorial optimisation with creativity and empowering our teams with search data. Role Responsibility Reporting to the SEO Manager, the Senior SEO Analyst for BBC Sounds will help drive our mission and will be an integral part of delivering the SEO strategy at a product and editorial level. The Senior SEO Analyst will also support and feed into the overall BBC SEO team to ensure the BBC can benefit from our decisions at an organisational level. This is an exciting role with the opportunity to work on one of the most exciting and growing audio products in the world. We're looking for someone with a passion for SEO and who also shares our vision for the value that SEO can provide to BBC Sounds and therefore, its audiences. The Senior SEO Analyst for BBC Sounds will be responsible for: Identifying, prioritising and driving technical innovation to improve SEO of the BBC Sounds website. Monitoring, improving upon and maintaining the technical SEO health of BBC Sounds. Being a key point of contact for SEO support within the Sounds product team and wider product group. Working with the data team to ensure SEO data is properly ingested, organised and made available to BBC Sounds. Educating teams on how to use SEO data to improve BBC Sounds and empower decision making. Working closely with the Digital Marketing team to ensure SEO is considered and embedded into any campaigns. Contributing towards the Digital Marketing teams efforts in App Store Optimisation of the Sounds app. Building strong relationships with key stakeholders to ensure SEO is included in senior decision making. Supporting the wider SEO team on pan-BBC and product specific targets and priorities. Are you the right candidate? For your application to be considered, you'll need to have the following: Strong knowledge of SEO best practice and extensive knowledge of search engine technology. Able to solve and provide guidance on complex technical SEO problems and briefs. Practical knowledge of editorial/content optimisation techniques and their impact on ranking. Experience of working with, analysing and reporting on large data sets to improve upon SEO. Can present complex concepts in a simple manner to ensure teams are able to act upon recommendations. Strong experience of using industry-standard SEO tools. If you also have the below, it will be beneficial to your application: An interest in audio content such as podcasts and radio and the value it can provide to audiences. Experience of working with data visualisation tools such as Tableau or Google Data Studio. Experience of line managing and leading a small team towards a shared goal. An understanding of or interest in languages such as SQL, Python or R. NB: Please note the internal BBC job title will be 'Principal Data Analyst' Package Description Band: D Contract type: Permanent Location: Hybrid working (part home/part office). Office base can be Salford, Glasgow, Cardiff, Newcastle or London We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here
