Business Analyst with Oracle CRM Systems - Milton Keynes Our Client is keen to recruit a seasoned Business Analyst with 5 to 8 years proven track record of working on projects with an understanding of the full project life-cycle. Must be able to demonstrate excellent business analysis skills coupled with excellent techniques and ideally with some methodology. The Client would like to you have at least 3 to 5 years experience of working with a CRM system - ideally with Oracle CRM - although they will consider others. Should be confident with the ability to work well the stakeholders and to guide and lead them to successful end results. The following are some of the key points about this role: Must be able to analyse the structure of the business (integration between Marketing, Finance & Education) Identify how the business use technology and what their goals are in line with identified requirements. As-Is/To-Be process mapping Identify problems within the business relating, through data modelling techniques and process flows. Have the ability to streamline processes. You will have strong documentation management experience and skills. Communicate with senior people within the organisation. Align internal and external stakeholders of the benefits of new technology or strategies/requirements/processes. Part of this assignment will be to run workshops and training sessions in order to ensure that everyone is on board and understands the processes involved. You will have knowledge of some if not all of the following: Finance systems and integration - tailored around the education sector Marketing & admissions background YoY management of enrolled children/existing pupils Technology within education and use of VLE's Change management expertise The Client and the role is based in Milton Keynes and there will be some travel occasionally. The salary will be dependent upon skills you bring to the table - but probably in the range £40K - £55K. Please do send your CV to us in Word format along with your availability.
24/06/2026
Full time
Business Analyst with Oracle CRM Systems - Milton Keynes Our Client is keen to recruit a seasoned Business Analyst with 5 to 8 years proven track record of working on projects with an understanding of the full project life-cycle. Must be able to demonstrate excellent business analysis skills coupled with excellent techniques and ideally with some methodology. The Client would like to you have at least 3 to 5 years experience of working with a CRM system - ideally with Oracle CRM - although they will consider others. Should be confident with the ability to work well the stakeholders and to guide and lead them to successful end results. The following are some of the key points about this role: Must be able to analyse the structure of the business (integration between Marketing, Finance & Education) Identify how the business use technology and what their goals are in line with identified requirements. As-Is/To-Be process mapping Identify problems within the business relating, through data modelling techniques and process flows. Have the ability to streamline processes. You will have strong documentation management experience and skills. Communicate with senior people within the organisation. Align internal and external stakeholders of the benefits of new technology or strategies/requirements/processes. Part of this assignment will be to run workshops and training sessions in order to ensure that everyone is on board and understands the processes involved. You will have knowledge of some if not all of the following: Finance systems and integration - tailored around the education sector Marketing & admissions background YoY management of enrolled children/existing pupils Technology within education and use of VLE's Change management expertise The Client and the role is based in Milton Keynes and there will be some travel occasionally. The salary will be dependent upon skills you bring to the table - but probably in the range £40K - £55K. Please do send your CV to us in Word format along with your availability.
Business Analyst with Finance Systems - Milton Keynes Our client is seeking a seasoned Business Analyst with 5 to 8 years of proven experience in project environments, understanding the full project life-cycle. The ideal candidate will demonstrate excellent business analysis skills, techniques, and ideally some methodology expertise. They should be confident in working with stakeholders, guiding and leading them to successful outcomes. Experience with Oracle Financial systems is preferred, with at least 5 years of relevant experience. The key responsibilities include: Analyzing business structures, including integration between Marketing, Finance, and Education sectors. Understanding how the business utilizes technology and aligning it with requirements. Performing As-Is and To-Be process mapping. Identifying problems within the business using data modeling techniques and process flows. Streamlining business processes. Managing documentation effectively. Communicating with senior organizational stakeholders. Aligning stakeholders on the benefits of new technology, strategies, and processes. Conducting workshops and training sessions to ensure understanding and buy-in. The candidate should have knowledge in some or all of the following areas: Finance systems and integration, particularly in the education sector Marketing and admissions processes Year-over-year management of enrolled children and existing pupils Educational technology and Virtual Learning Environments (VLEs) Change management This role is based in Milton Keynes, with occasional travel expected. The salary range is approximately £40K - £55K, depending on skills and experience. Please send your CV in Word format along with your availability.
24/06/2026
Full time
Business Analyst with Finance Systems - Milton Keynes Our client is seeking a seasoned Business Analyst with 5 to 8 years of proven experience in project environments, understanding the full project life-cycle. The ideal candidate will demonstrate excellent business analysis skills, techniques, and ideally some methodology expertise. They should be confident in working with stakeholders, guiding and leading them to successful outcomes. Experience with Oracle Financial systems is preferred, with at least 5 years of relevant experience. The key responsibilities include: Analyzing business structures, including integration between Marketing, Finance, and Education sectors. Understanding how the business utilizes technology and aligning it with requirements. Performing As-Is and To-Be process mapping. Identifying problems within the business using data modeling techniques and process flows. Streamlining business processes. Managing documentation effectively. Communicating with senior organizational stakeholders. Aligning stakeholders on the benefits of new technology, strategies, and processes. Conducting workshops and training sessions to ensure understanding and buy-in. The candidate should have knowledge in some or all of the following areas: Finance systems and integration, particularly in the education sector Marketing and admissions processes Year-over-year management of enrolled children and existing pupils Educational technology and Virtual Learning Environments (VLEs) Change management This role is based in Milton Keynes, with occasional travel expected. The salary range is approximately £40K - £55K, depending on skills and experience. Please send your CV in Word format along with your availability.
Business Analyst with HR Systems - Milton Keynes Our client is seeking an experienced Business Analyst with 5 to 8 years of proven project experience, including a comprehensive understanding of the full project lifecycle. The ideal candidate will demonstrate excellent business analysis skills, techniques, and ideally some methodology expertise. Candidates should have at least 5 years of experience working with HRIS (Human Resources Information System), preferably Cornerstone HRIS, though others will be considered. The role requires confidence in stakeholder engagement, with the ability to guide and lead them towards successful outcomes. Key Responsibilities: Analyze business structures, including integration between Marketing, Finance, and Education departments. Identify how the business utilizes technology and aligns it with organizational goals based on requirements. Conduct As-Is and To-Be process mapping. Identify business problems using data modeling techniques and process flows. Streamline business processes for efficiency. Maintain strong documentation management skills. Communicate effectively with senior organizational stakeholders. Align internal and external stakeholders on the benefits of new technology, strategies, requirements, and processes. Facilitate workshops and training sessions to ensure understanding and buy-in from all participants. Desired Knowledge and Skills: Experience with finance systems and integration, especially in the education sector. Background in marketing and admissions processes. Management of enrolled children and existing pupils on a YoY basis. Knowledge of education technology and Virtual Learning Environments (VLEs). Change management expertise. This position is based in Milton Keynes, with occasional travel required. The salary range is approximately £40,000 to £55,000, depending on experience and skills. Please send your CV in Word format along with your availability.
24/06/2026
Full time
Business Analyst with HR Systems - Milton Keynes Our client is seeking an experienced Business Analyst with 5 to 8 years of proven project experience, including a comprehensive understanding of the full project lifecycle. The ideal candidate will demonstrate excellent business analysis skills, techniques, and ideally some methodology expertise. Candidates should have at least 5 years of experience working with HRIS (Human Resources Information System), preferably Cornerstone HRIS, though others will be considered. The role requires confidence in stakeholder engagement, with the ability to guide and lead them towards successful outcomes. Key Responsibilities: Analyze business structures, including integration between Marketing, Finance, and Education departments. Identify how the business utilizes technology and aligns it with organizational goals based on requirements. Conduct As-Is and To-Be process mapping. Identify business problems using data modeling techniques and process flows. Streamline business processes for efficiency. Maintain strong documentation management skills. Communicate effectively with senior organizational stakeholders. Align internal and external stakeholders on the benefits of new technology, strategies, requirements, and processes. Facilitate workshops and training sessions to ensure understanding and buy-in from all participants. Desired Knowledge and Skills: Experience with finance systems and integration, especially in the education sector. Background in marketing and admissions processes. Management of enrolled children and existing pupils on a YoY basis. Knowledge of education technology and Virtual Learning Environments (VLEs). Change management expertise. This position is based in Milton Keynes, with occasional travel required. The salary range is approximately £40,000 to £55,000, depending on experience and skills. Please send your CV in Word format along with your availability.
Hello! We're Teya. Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance. At Teya we believe small, local businesses are the lifeblood of our communities. We're here because we don't believe there's a level playing field that gives small businesses with a fighting chance against the giants of the high street. We're here because we see banks and legacy service providers making things harder for them. We don't think the best technology or the best service should be reserved for those with the biggest headquarters. We're here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us. Become a part of our story. We're looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits. Your Mission As a Senior Business Analyst (Valuations) at Teya, you will sit at the heart of how we measure and forecast the economic value of our products. You will work across our acquiring and business account products to keep our valuation, unit economics, and customer lifetime value models grounded in how merchants actually behave. Your work will inform pricing, segmentation, and investment decisions taken at the most senior levels of the company. You will start from problems already mapped by the team or identify new opportunities yourself, then structure how to solve them through rigorous analysis, testing, and collaboration with product, finance, growth, and credit. Whether you are rebuilding a customer lifetime value forecast for the business account, pressure-testing the assumptions behind a pricing change in acquiring, or designing the analytical framework for a new product, your work will sit between data and decision-making. Operating at the intersection of analytics and business strategy, you will bring a critical eye to how forecasts are built and how they are used. You will challenge assumptions, validate model outputs against in-market performance, and make analytical contributions that range from a single product feature to the broader picture of Teya's economic engine. From day one, your work will have immediate, tangible impact on company performance and on how Teya thinks about its business. Responsibilities Build and maintain Net Present Value (NPV), unit economics, and customer lifetime value models for Teya's products across acquiring and business account, ensuring assumptions are grounded in observed merchant behavior. Conduct in-depth analyses of customer behaviour and product performance, identifying the levers that drive value creation and the assumptions in our models that do not hold up under scrutiny. Design, implement, and analyse experiments (A/B tests, holdouts, natural experiments) to validate hypotheses about pricing, packaging, customer segmentation, and product strategy. Develop and monitor key metrics and dashboards that track real-time portfolio and product economics, surfacing where actual performance is diverging from forecast and what the team should do about it. Collaborate cross-functionally with Product, Finance, Marketing, and Engineering to translate analytical insights into product, pricing, and commercial decisions that get implemented. Conduct investigative analysis to identify data gaps, model limitations, and opportunities to improve valuation methodology, proactively surfacing insights that change how Teya understands its business. Create clear, compelling presentations and documentation that translate complex analytical findings into actionable recommendations for stakeholders at all levels, from operational teams to the executive committee. Requirements 2 to 4 years in business analytics, valuations, financial planning and analysis, customer analytics, strategy, or credit risk in financial services, lending, or a similarly data-driven environment. Bachelor's degree in a quantitative field such as Mathematics, Physics, Statistics, Economics, or a related discipline. Advanced degree is a plus. Proficiency in SQL for data extraction and manipulation, and Excel and/or Python for modelling. Strong foundation in unit economics and valuation methodology (NPV, LTV, cohort analysis, sensitivity analysis), as well as in statistics and probability (hypothesis testing, regression analysis, experimental design), with the ability to draw valid inferences from data while recognizing limitations. Demonstrated analytical problem-solving abilities, with the capacity to break down complex, ambiguous business challenges into structured, solvable components and develop actionable solutions. Excellent communication skills, with the ability to translate technical analyses into clear business insights and influence stakeholders across technical and non-technical audiences. Self-directed and comfortable with ambiguity, able to take initiative in identifying problems, proposing solutions, and driving projects forward without extensive oversight. Collaborative mindset with experience working in cross-functional teams. Ability to build relationships, manage stakeholders effectively, and contribute to a culture of continuous learning. The Perks We trust you, so we offer flexible working hours, as long as it suits both you and your team. Physical and mental health support through our partnership with GymPass, giving free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, and digital fitness and nutrition apps. Our company offers extended and improved maternity and paternity leave choices, giving employees more flexibility and support. Cycle-to-Work Scheme. Health and Life Insurance. Pension Scheme. 25 days of Annual Leave (plus Bank Holidays). Office snacks every day. Friendly, comfortable, and informal office environment in Central London. Teya is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all. If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application-we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.
24/06/2026
Full time
Hello! We're Teya. Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance. At Teya we believe small, local businesses are the lifeblood of our communities. We're here because we don't believe there's a level playing field that gives small businesses with a fighting chance against the giants of the high street. We're here because we see banks and legacy service providers making things harder for them. We don't think the best technology or the best service should be reserved for those with the biggest headquarters. We're here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us. Become a part of our story. We're looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits. Your Mission As a Senior Business Analyst (Valuations) at Teya, you will sit at the heart of how we measure and forecast the economic value of our products. You will work across our acquiring and business account products to keep our valuation, unit economics, and customer lifetime value models grounded in how merchants actually behave. Your work will inform pricing, segmentation, and investment decisions taken at the most senior levels of the company. You will start from problems already mapped by the team or identify new opportunities yourself, then structure how to solve them through rigorous analysis, testing, and collaboration with product, finance, growth, and credit. Whether you are rebuilding a customer lifetime value forecast for the business account, pressure-testing the assumptions behind a pricing change in acquiring, or designing the analytical framework for a new product, your work will sit between data and decision-making. Operating at the intersection of analytics and business strategy, you will bring a critical eye to how forecasts are built and how they are used. You will challenge assumptions, validate model outputs against in-market performance, and make analytical contributions that range from a single product feature to the broader picture of Teya's economic engine. From day one, your work will have immediate, tangible impact on company performance and on how Teya thinks about its business. Responsibilities Build and maintain Net Present Value (NPV), unit economics, and customer lifetime value models for Teya's products across acquiring and business account, ensuring assumptions are grounded in observed merchant behavior. Conduct in-depth analyses of customer behaviour and product performance, identifying the levers that drive value creation and the assumptions in our models that do not hold up under scrutiny. Design, implement, and analyse experiments (A/B tests, holdouts, natural experiments) to validate hypotheses about pricing, packaging, customer segmentation, and product strategy. Develop and monitor key metrics and dashboards that track real-time portfolio and product economics, surfacing where actual performance is diverging from forecast and what the team should do about it. Collaborate cross-functionally with Product, Finance, Marketing, and Engineering to translate analytical insights into product, pricing, and commercial decisions that get implemented. Conduct investigative analysis to identify data gaps, model limitations, and opportunities to improve valuation methodology, proactively surfacing insights that change how Teya understands its business. Create clear, compelling presentations and documentation that translate complex analytical findings into actionable recommendations for stakeholders at all levels, from operational teams to the executive committee. Requirements 2 to 4 years in business analytics, valuations, financial planning and analysis, customer analytics, strategy, or credit risk in financial services, lending, or a similarly data-driven environment. Bachelor's degree in a quantitative field such as Mathematics, Physics, Statistics, Economics, or a related discipline. Advanced degree is a plus. Proficiency in SQL for data extraction and manipulation, and Excel and/or Python for modelling. Strong foundation in unit economics and valuation methodology (NPV, LTV, cohort analysis, sensitivity analysis), as well as in statistics and probability (hypothesis testing, regression analysis, experimental design), with the ability to draw valid inferences from data while recognizing limitations. Demonstrated analytical problem-solving abilities, with the capacity to break down complex, ambiguous business challenges into structured, solvable components and develop actionable solutions. Excellent communication skills, with the ability to translate technical analyses into clear business insights and influence stakeholders across technical and non-technical audiences. Self-directed and comfortable with ambiguity, able to take initiative in identifying problems, proposing solutions, and driving projects forward without extensive oversight. Collaborative mindset with experience working in cross-functional teams. Ability to build relationships, manage stakeholders effectively, and contribute to a culture of continuous learning. The Perks We trust you, so we offer flexible working hours, as long as it suits both you and your team. Physical and mental health support through our partnership with GymPass, giving free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, and digital fitness and nutrition apps. Our company offers extended and improved maternity and paternity leave choices, giving employees more flexibility and support. Cycle-to-Work Scheme. Health and Life Insurance. Pension Scheme. 25 days of Annual Leave (plus Bank Holidays). Office snacks every day. Friendly, comfortable, and informal office environment in Central London. Teya is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all. If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application-we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.
Senior Software Engineer (Data) Department: Engineering Employment Type: Full Time Location: London Description Hybrid: 2 days per week in our Tower Bridge office (Tuesdays & Thursdays) Uswitch At Uswitch, our goal is to be the UK's favourite way to choose and manage home-life essentials - from broadband and mobiles to energy and insurance. As we continue to grow and expand our services, we are looking for talented individuals who share our passion for making a positive impact on people's lives. If you want to be part of a team that is transforming the way consumers navigate their household services, we would love to hear from you! We're part of RVU, a group of online brands that include: Confused, Tempcover, money.co.uk, and Mojo Mortgages. The team Our Marketing Enablement team builds and manages the systems that help turn data into something useful. We work closely with multiple teams like CRM, PPC & analytics to ship the pipelines, integrations and tooling behind how we find and talk to customers. As a Senior Software Engineer, you'll help design, build, and maintain our data pipelines and the services around them. You'll bring strong software engineering fundamentals to a data-heavy domain, writing maintainable code, owning systems end-to-end, and improving how we collect, model, and activate data across the organisation. What you'll be doing Work with cross-functional teams to create end-to-end data solutions that support our analysts and business teams Design, implement, and optimise a cloud-based Extract-Load-Transform (ELT) platform to reshape RVU's data infrastructure and data warehouse Become an expert on handling behavioural data from more than three websites and dozens of e-commerce product areas, serving millions of users every month Build systems that enable self-service analytics and pave the way for data science applications across our businesses Monitor performance metrics for how Data is produced and consumed, and respond to Data incidents. What we're looking for Experience building, designing, refactoring or optimising data lakes and data warehouses from a variety of data sources using data modelling techniques Experience in Building Extract Transform and Load (ETL) pipeline (streaming / batch) using MPP frameworks (Spark, Beam, or other) Experience in orchestrating complex pipelines using Airflow, Dagster or other Proficiency in one or more programming languages: Python, Java, GO or other Experience with AWS or GCP and their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases for analytics (Redshift, BigQuery, Snowflake or other). Nice to have Experience modelling and transforming data from event collection to report curation, especially for e-commerce or affiliate businesses Experience building production grade ML pipelines Experience using infrastructure as code (Terraform, Cloud Formation, or other) Experience using CI/CD principles. You don't need to tick off everything on this list - so don't let that hold you back from applying. We want to make sure you're learning plenty during your time with us! Our commitment to you We are dedicated to developing valuable, inclusive, and user friendly products and services that deliver positive outcomes for all of our customers. To achieve this, it's essential that our teams reflect the diverse range of people in our community. We believe in being the change we wish to see in the world, by embracing our differences and holding ourselves accountable to being open and inclusive teammates and wider community members. What we offer We want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to: 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance) A hybrid working approach with 2 in office days per week and up to 22 working days per year to "work from anywhere" Employer matching pension contributions up to 7.5% A one off £300 "work from home" budget to help contribute towards a great work environment at home Excellent maternity, paternity, shared parental, and adoption leave policy, for those key moments in your life 25 days holiday (increasing with years of employment to 30 days) + 2 days "my time" per year Private medical cover, critical illness cover, and employee assistance programme A healthy learning and training budget Electric vehicle and cycle to work schemes Free in office gym, accessible 7 days a week Free breakfast in the office daily You'll be equipped with great technology (choice of Mac or Windows) Free access to the Calm and Peppy app for physical and mental health Regular events - from team socials to company wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected.
24/06/2026
Full time
Senior Software Engineer (Data) Department: Engineering Employment Type: Full Time Location: London Description Hybrid: 2 days per week in our Tower Bridge office (Tuesdays & Thursdays) Uswitch At Uswitch, our goal is to be the UK's favourite way to choose and manage home-life essentials - from broadband and mobiles to energy and insurance. As we continue to grow and expand our services, we are looking for talented individuals who share our passion for making a positive impact on people's lives. If you want to be part of a team that is transforming the way consumers navigate their household services, we would love to hear from you! We're part of RVU, a group of online brands that include: Confused, Tempcover, money.co.uk, and Mojo Mortgages. The team Our Marketing Enablement team builds and manages the systems that help turn data into something useful. We work closely with multiple teams like CRM, PPC & analytics to ship the pipelines, integrations and tooling behind how we find and talk to customers. As a Senior Software Engineer, you'll help design, build, and maintain our data pipelines and the services around them. You'll bring strong software engineering fundamentals to a data-heavy domain, writing maintainable code, owning systems end-to-end, and improving how we collect, model, and activate data across the organisation. What you'll be doing Work with cross-functional teams to create end-to-end data solutions that support our analysts and business teams Design, implement, and optimise a cloud-based Extract-Load-Transform (ELT) platform to reshape RVU's data infrastructure and data warehouse Become an expert on handling behavioural data from more than three websites and dozens of e-commerce product areas, serving millions of users every month Build systems that enable self-service analytics and pave the way for data science applications across our businesses Monitor performance metrics for how Data is produced and consumed, and respond to Data incidents. What we're looking for Experience building, designing, refactoring or optimising data lakes and data warehouses from a variety of data sources using data modelling techniques Experience in Building Extract Transform and Load (ETL) pipeline (streaming / batch) using MPP frameworks (Spark, Beam, or other) Experience in orchestrating complex pipelines using Airflow, Dagster or other Proficiency in one or more programming languages: Python, Java, GO or other Experience with AWS or GCP and their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases for analytics (Redshift, BigQuery, Snowflake or other). Nice to have Experience modelling and transforming data from event collection to report curation, especially for e-commerce or affiliate businesses Experience building production grade ML pipelines Experience using infrastructure as code (Terraform, Cloud Formation, or other) Experience using CI/CD principles. You don't need to tick off everything on this list - so don't let that hold you back from applying. We want to make sure you're learning plenty during your time with us! Our commitment to you We are dedicated to developing valuable, inclusive, and user friendly products and services that deliver positive outcomes for all of our customers. To achieve this, it's essential that our teams reflect the diverse range of people in our community. We believe in being the change we wish to see in the world, by embracing our differences and holding ourselves accountable to being open and inclusive teammates and wider community members. What we offer We want to give you a great work environment, support your growth both personally and professionally, and provide benefits that make your time at RVU even more enjoyable. Here are some of the benefits you can look forward to: 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance) A hybrid working approach with 2 in office days per week and up to 22 working days per year to "work from anywhere" Employer matching pension contributions up to 7.5% A one off £300 "work from home" budget to help contribute towards a great work environment at home Excellent maternity, paternity, shared parental, and adoption leave policy, for those key moments in your life 25 days holiday (increasing with years of employment to 30 days) + 2 days "my time" per year Private medical cover, critical illness cover, and employee assistance programme A healthy learning and training budget Electric vehicle and cycle to work schemes Free in office gym, accessible 7 days a week Free breakfast in the office daily You'll be equipped with great technology (choice of Mac or Windows) Free access to the Calm and Peppy app for physical and mental health Regular events - from team socials to company wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected.
Our Company At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity. Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world's most used digital comparison service, delivering value and simplicity to millions. We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimized in real time, and designed to scale. With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. We've helped ambitious brands grow faster, smarter, and globally. The Role Our Financial Operations team is growing, and we're looking for a Senior Data Operations Manager to join us in London. You will take ownership of the automation and optimisation of our data operations processes, managing the transition from manual workflows to scalable solutions. You'll scope basic technical requirements and collaborate closely with our engineering team to deliver integrations that streamline how we collect and process data. Beyond the technical work, you'll be responsible for business partnering and communicating about the data's accuracy and availability, ensuring data quality standards are met, and acting as a key point of escalation. This role requires someone who is equally comfortable writing a technical requirements spec as they are running a project plan or coaching a teammate. There is the opportunity to manage one direct report, which can expand in the future. Key Responsibilities Data Quality & Operations: Own daily revenue reporting, including data extraction, validation and transformation across multiple systems. Pipeline Monitoring - You'll check that our data ingestion pipelines are running correctly and flag any issues, helping maintain the integrity of our data operations. Define and enforce data quality standards, implementing validation frameworks (where needed) and monitoring to ensure accuracy, completeness, and compliance. Serve as the primary escalation point for complex data issues, working cross-functionally with engineering, finance, and commercial teams to resolve them. Automation & Continuous Improvement Own the end-to-end automation of data collection and reporting processes, from scoping to delivery and iteration. Identify opportunities for process improvement, building business cases and driving implementation. Champion the adoption of AI and emerging technologies to continuously evolve how we work. Leadership & Partnering Lead and develop a junior analyst, providing day-to-day guidance, reviews, and coaching (with scope to grow the team) Support the Head of Financial Operations on strategic planning, resource management, and senior leadership reporting About You 5+ years of experience in data operations, data analysis, or a similar role, with at least 1 year in a senior or lead capacity A scripting mindset. Python or similar is a plus, or a genuine appetite to pick it up Proven ability to project manage technical workstreams, from requirements gathering through to delivery, using tools such as Jira, Asana, or similar Strong SQL skills and advanced proficiency in Excel/Google Sheets (scripting, complex formulas, automation) Excellent communication skills, able to translate technical concepts for non-technical stakeholders and document processes clearly A solid understanding of data integrity, and their importance in a performance marketing environment A proactive, solutions-oriented mindset, comfortable operating with autonomy and taking ownership of outcomes Comfortable in a fast-paced, high-growth environment where priorities can shift quickly Nice to have Familiarity with BI/reporting tools (e.g., Looker, Tableau, Google Data Studio) and data pipeline concepts Previous experience in a scaling operations team where processes were being built or redesigned Experience working in affiliate or performance marketing, or in a similarly data-intensive, regulated sector What You'll Get Private Health Care (Bupa) Hybrid Working (3 days in office) Travel Insurance Competitive Base Salary Company Bonus Scheme Market-Leading Training Programme Recognition & Reward Scheme Annual Company Conference (previous destinations: Vienna, Bologna, Dubrovnik, Thessaloniki) Regular Happy Hours & Team Lunches Free Coffee, Drinks & Snacks What's the next step Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them. If you like the sound of what we're all about at Quantum and want to join a team where you can make an impact, please apply or contact us at .
24/06/2026
Full time
Our Company At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity. Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world's most used digital comparison service, delivering value and simplicity to millions. We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimized in real time, and designed to scale. With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. We've helped ambitious brands grow faster, smarter, and globally. The Role Our Financial Operations team is growing, and we're looking for a Senior Data Operations Manager to join us in London. You will take ownership of the automation and optimisation of our data operations processes, managing the transition from manual workflows to scalable solutions. You'll scope basic technical requirements and collaborate closely with our engineering team to deliver integrations that streamline how we collect and process data. Beyond the technical work, you'll be responsible for business partnering and communicating about the data's accuracy and availability, ensuring data quality standards are met, and acting as a key point of escalation. This role requires someone who is equally comfortable writing a technical requirements spec as they are running a project plan or coaching a teammate. There is the opportunity to manage one direct report, which can expand in the future. Key Responsibilities Data Quality & Operations: Own daily revenue reporting, including data extraction, validation and transformation across multiple systems. Pipeline Monitoring - You'll check that our data ingestion pipelines are running correctly and flag any issues, helping maintain the integrity of our data operations. Define and enforce data quality standards, implementing validation frameworks (where needed) and monitoring to ensure accuracy, completeness, and compliance. Serve as the primary escalation point for complex data issues, working cross-functionally with engineering, finance, and commercial teams to resolve them. Automation & Continuous Improvement Own the end-to-end automation of data collection and reporting processes, from scoping to delivery and iteration. Identify opportunities for process improvement, building business cases and driving implementation. Champion the adoption of AI and emerging technologies to continuously evolve how we work. Leadership & Partnering Lead and develop a junior analyst, providing day-to-day guidance, reviews, and coaching (with scope to grow the team) Support the Head of Financial Operations on strategic planning, resource management, and senior leadership reporting About You 5+ years of experience in data operations, data analysis, or a similar role, with at least 1 year in a senior or lead capacity A scripting mindset. Python or similar is a plus, or a genuine appetite to pick it up Proven ability to project manage technical workstreams, from requirements gathering through to delivery, using tools such as Jira, Asana, or similar Strong SQL skills and advanced proficiency in Excel/Google Sheets (scripting, complex formulas, automation) Excellent communication skills, able to translate technical concepts for non-technical stakeholders and document processes clearly A solid understanding of data integrity, and their importance in a performance marketing environment A proactive, solutions-oriented mindset, comfortable operating with autonomy and taking ownership of outcomes Comfortable in a fast-paced, high-growth environment where priorities can shift quickly Nice to have Familiarity with BI/reporting tools (e.g., Looker, Tableau, Google Data Studio) and data pipeline concepts Previous experience in a scaling operations team where processes were being built or redesigned Experience working in affiliate or performance marketing, or in a similarly data-intensive, regulated sector What You'll Get Private Health Care (Bupa) Hybrid Working (3 days in office) Travel Insurance Competitive Base Salary Company Bonus Scheme Market-Leading Training Programme Recognition & Reward Scheme Annual Company Conference (previous destinations: Vienna, Bologna, Dubrovnik, Thessaloniki) Regular Happy Hours & Team Lunches Free Coffee, Drinks & Snacks What's the next step Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them. If you like the sound of what we're all about at Quantum and want to join a team where you can make an impact, please apply or contact us at .
A leading travel search engine company is seeking a Data Engineer to design and maintain high-performance data pipelines. The ideal candidate has over 6 years of data engineering experience, is proficient in Python and SQL, and embraces AI coding tools. You will work cross-functionally with marketing analysts and engineers to support data needs, fostering a collaborative and innovative atmosphere. This role offers competitive compensation and benefits, along with opportunities for professional growth.
24/06/2026
Full time
A leading travel search engine company is seeking a Data Engineer to design and maintain high-performance data pipelines. The ideal candidate has over 6 years of data engineering experience, is proficient in Python and SQL, and embraces AI coding tools. You will work cross-functionally with marketing analysts and engineers to support data needs, fostering a collaborative and innovative atmosphere. This role offers competitive compensation and benefits, along with opportunities for professional growth.
Senior Data Protection AnalystSkip to main contentWe use cookies to improve your online experience, analyse site visits and offer personalised content for marketing purposes. If you're happy with this select 'Accept all cookies'.You can change your cookies preferences at any time using the settings tool across each page. To find out more, see our cookies policy. Data Protection Analyst page is loaded Senior Data Protection AnalystApplylocations: Wimbledon, UK: Nottingham, UKtime type: Full timeposted on: Posted 8 Days Agotime left to apply: End Date: May 28, 2026 (12 days left to apply)job requisition id: JR101769 Senior Data Protection Analyst Location : Flexible on location with visits to our office in Wimbledon as and when required. Salary: Permanent Contract: Full Time We have an exciting opportunity for Senior Data Protection Analyst to join our Risk & Compliance team here at Domestic & General. The role plays a pivotal role in supporting and strengthening the organisation's data protection and privacy compliance framework.The role focuses on implementing and maintaining operational data protection processes, conducting data privacy risk assessments, supporting regulatory compliance, and ensuring that personal data is processed in accordance with relevant legislation including the UK General Data Protection Regulation. Key Responsibilities: Provide support to the GDPO to help shape the design, implementation, and continuous improvement of the organisation's data privacy framework. Monitor compliance with data privacy legislation, policies, and internal controls. Maintain and oversee RoPA, DPIAs, LIAs and associated documentation. Develop and implement data privacy policies, standards, and guidance. Identify, evaluate, and mitigate privacy risks across business functions. Lead and oversee DPIAs, TIAs, and high risk processing assessments. Advise on new initiatives, digital transformation programmes, and vendor engagements to ensure privacy by design and default. Ensure third-party vendors comply with the organisation's data privacy requirements. Lead the response to personal data breaches, including assessment, containment, remediation, and notification obligations to regulators and data subjects. Ensure effective root cause analysis and drive systemic improvements. Serve as a trusted advisor to first line business areas and other functions, such as Legal, Information Security, HR, Marketing, and Product teams. Review contracts and data privacy clauses in conjunctions with Procurement and Legal teams. Provide expert advice on international data transfers and cross border processing. Develop and deliver privacy training, workshops, and awareness campaigns. Promote a privacy first culture across the organisation. Oversee processes related to data subject rights requests (DSRs), including access, rectification, and erasure requests. Ensure efficient handling of subject rights requests within statutory timelines. Coordinate compliance with applicable data privacy laws and guidance issued by regulators such as the Information Commissioner's Office. Manage responses to regulatory enquiries, investigations, and audits. Develop and maintain policies covering data retention, lawful processing, and international data transfers. Maintain records of processing activities as required under data privacy legislation. Act as a key point of contact with regulators, external auditors, and data subjects where required. Prepare regular reports for senior leadership, risk committees, and the GDPO. Mentor data privacy analysts and privacy specialists. Support the strategic development of the data protection function. Provide management information on a regular basis to demonstrate compliance for relevant business units and highlight any compliance gaps. This includes preparation of monthly KRIs. Horizon scan for changes to data privacy laws / regulations that could impact the business and raise these with the GDPO. Monitor regulatory developments and assess their impact on organisational operations. Working groups - attend and contribute where required. Provide cover for other members of the DP Team as required. Skills and experience required: Strong knowledge of applicable data privacy laws, e.g. UK GDPR, EU GDPR, DPA 2018, PECR/e-Privacy, and relevant industry standards. Proven experience of conducting operational day-to-day data privacy tasks, DPIAs, incident response, and regulatory interactions. Excellent communication, influencing, and stakeholder management skills. Ability to interpret complex legislation and translate into practical business advice. Recognised data privacy qualification is preferrable but not essential, such as CIPP/E, CIPM, CIPT, BCS Data Protection, or equivalent. We offer lots of great benefits! Some of which include: Competitive salary and annual discretionary bonus 25 days annual leave plus bank/public holidays, as well as an annual option to buy up to 5 additional days of annual leave Training opportunities as well as clearly defined career progression Health cash plan - employer funded cover to enable you to claim money back on essential healthcare costs, including dental, optical, physiotherapy and many more. Cover also includes unlimited access to a 24/7 virtual GP service Attractive company pension scheme Life assurance - employer funded cover of 4x basic salary Dedicated online benefit portal offering access to saving and lending facilities, financial wellbeing and support services: Salary Finance - access to savings and borrowing through payroll Car Leasing - access to a carbon neutral salary sacrifice car leasing scheme, with an all-inclusive monthly cost covering all charge, taxes, insurance, repairs and maintenance on a range of brand-new vehicles Travel Loans - interest free loans to help spread the cost of annual travel tickets Cycle to Work - tax efficient bike and cycling equipment worth up to £1,000 Health & Wellbeing - discounted gym membership, online virtual workout sessions, online culinary classes OnHand - Giving you the opportunity to be an Eco & Social volunteer via a handy app. Volunteer individually or in groups to get involved in Youth Mentoring, Food Poverty, Homelessness & Elderly help. Employee Assistance Programme - specialist advice and support on issues such as finance, relationships, illness and family issues Free Domestic & General protection plan - one free plan each year with access to discounted rates of up to 50% on additional plans, including referrals for family and friends Employee discounts - with a range of discounts for 100s of online and high street retailers Domestic & General are an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please note that we have a thorough referencing process, which includes criminal record checks. At Domestic & General, we are proud of our 100-year legacy and excited about our future growth plans. We are expanding our horizons, entering new markets and territories internationally and we need your expertise to help us on the journey.
24/06/2026
Full time
Senior Data Protection AnalystSkip to main contentWe use cookies to improve your online experience, analyse site visits and offer personalised content for marketing purposes. If you're happy with this select 'Accept all cookies'.You can change your cookies preferences at any time using the settings tool across each page. To find out more, see our cookies policy. Data Protection Analyst page is loaded Senior Data Protection AnalystApplylocations: Wimbledon, UK: Nottingham, UKtime type: Full timeposted on: Posted 8 Days Agotime left to apply: End Date: May 28, 2026 (12 days left to apply)job requisition id: JR101769 Senior Data Protection Analyst Location : Flexible on location with visits to our office in Wimbledon as and when required. Salary: Permanent Contract: Full Time We have an exciting opportunity for Senior Data Protection Analyst to join our Risk & Compliance team here at Domestic & General. The role plays a pivotal role in supporting and strengthening the organisation's data protection and privacy compliance framework.The role focuses on implementing and maintaining operational data protection processes, conducting data privacy risk assessments, supporting regulatory compliance, and ensuring that personal data is processed in accordance with relevant legislation including the UK General Data Protection Regulation. Key Responsibilities: Provide support to the GDPO to help shape the design, implementation, and continuous improvement of the organisation's data privacy framework. Monitor compliance with data privacy legislation, policies, and internal controls. Maintain and oversee RoPA, DPIAs, LIAs and associated documentation. Develop and implement data privacy policies, standards, and guidance. Identify, evaluate, and mitigate privacy risks across business functions. Lead and oversee DPIAs, TIAs, and high risk processing assessments. Advise on new initiatives, digital transformation programmes, and vendor engagements to ensure privacy by design and default. Ensure third-party vendors comply with the organisation's data privacy requirements. Lead the response to personal data breaches, including assessment, containment, remediation, and notification obligations to regulators and data subjects. Ensure effective root cause analysis and drive systemic improvements. Serve as a trusted advisor to first line business areas and other functions, such as Legal, Information Security, HR, Marketing, and Product teams. Review contracts and data privacy clauses in conjunctions with Procurement and Legal teams. Provide expert advice on international data transfers and cross border processing. Develop and deliver privacy training, workshops, and awareness campaigns. Promote a privacy first culture across the organisation. Oversee processes related to data subject rights requests (DSRs), including access, rectification, and erasure requests. Ensure efficient handling of subject rights requests within statutory timelines. Coordinate compliance with applicable data privacy laws and guidance issued by regulators such as the Information Commissioner's Office. Manage responses to regulatory enquiries, investigations, and audits. Develop and maintain policies covering data retention, lawful processing, and international data transfers. Maintain records of processing activities as required under data privacy legislation. Act as a key point of contact with regulators, external auditors, and data subjects where required. Prepare regular reports for senior leadership, risk committees, and the GDPO. Mentor data privacy analysts and privacy specialists. Support the strategic development of the data protection function. Provide management information on a regular basis to demonstrate compliance for relevant business units and highlight any compliance gaps. This includes preparation of monthly KRIs. Horizon scan for changes to data privacy laws / regulations that could impact the business and raise these with the GDPO. Monitor regulatory developments and assess their impact on organisational operations. Working groups - attend and contribute where required. Provide cover for other members of the DP Team as required. Skills and experience required: Strong knowledge of applicable data privacy laws, e.g. UK GDPR, EU GDPR, DPA 2018, PECR/e-Privacy, and relevant industry standards. Proven experience of conducting operational day-to-day data privacy tasks, DPIAs, incident response, and regulatory interactions. Excellent communication, influencing, and stakeholder management skills. Ability to interpret complex legislation and translate into practical business advice. Recognised data privacy qualification is preferrable but not essential, such as CIPP/E, CIPM, CIPT, BCS Data Protection, or equivalent. We offer lots of great benefits! Some of which include: Competitive salary and annual discretionary bonus 25 days annual leave plus bank/public holidays, as well as an annual option to buy up to 5 additional days of annual leave Training opportunities as well as clearly defined career progression Health cash plan - employer funded cover to enable you to claim money back on essential healthcare costs, including dental, optical, physiotherapy and many more. Cover also includes unlimited access to a 24/7 virtual GP service Attractive company pension scheme Life assurance - employer funded cover of 4x basic salary Dedicated online benefit portal offering access to saving and lending facilities, financial wellbeing and support services: Salary Finance - access to savings and borrowing through payroll Car Leasing - access to a carbon neutral salary sacrifice car leasing scheme, with an all-inclusive monthly cost covering all charge, taxes, insurance, repairs and maintenance on a range of brand-new vehicles Travel Loans - interest free loans to help spread the cost of annual travel tickets Cycle to Work - tax efficient bike and cycling equipment worth up to £1,000 Health & Wellbeing - discounted gym membership, online virtual workout sessions, online culinary classes OnHand - Giving you the opportunity to be an Eco & Social volunteer via a handy app. Volunteer individually or in groups to get involved in Youth Mentoring, Food Poverty, Homelessness & Elderly help. Employee Assistance Programme - specialist advice and support on issues such as finance, relationships, illness and family issues Free Domestic & General protection plan - one free plan each year with access to discounted rates of up to 50% on additional plans, including referrals for family and friends Employee discounts - with a range of discounts for 100s of online and high street retailers Domestic & General are an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please note that we have a thorough referencing process, which includes criminal record checks. At Domestic & General, we are proud of our 100-year legacy and excited about our future growth plans. We are expanding our horizons, entering new markets and territories internationally and we need your expertise to help us on the journey.
Business Analyst - Milton Keynes Our Client is keen to recruit a seasoned Business Analyst with 5 to 8 years proven track record of working on projects with an understanding of the full project life-cycle. Must be able to demonstrate excellent business analysis skills coupled with excellent techniques and ideally with some methodology. Should be confident with the ability to work well the stake holders and to guide and lead them to successful end results. The following are some of the key points about this role: Must be able to analyse the structure of the business (integration between Marketing, Finance & Education) Identify how the business use technology and what their goals are in line with identified requirements. As-Is/To-Be process mapping Identify problems within the business relating, through data modelling techniques and process flows. Have the ability to streamline processes. You will have strong documentation management experience and skills. Communicate with senior people within the organisation. Align internal and external stakeholders of the benefits of new technology or strategies/requirements/processes. Part of this assignment will be to run workshops and training sessions in order to ensure that everyone is on board and understands the processes involved. You will have knowledge of some if not all of the following: Finance systems and integration - tailored around the education sector Marketing & admissions background YoY management of enrolled children/existing pupils Technology within education and use of VLE's Change management expertise The Client and the role is based in Milton Keynes and there will be some travel occasionally. The rate will be dependent on skills you bring to the assignment. Please do send your CV to us in Word format along with your availability.
24/06/2026
Full time
Business Analyst - Milton Keynes Our Client is keen to recruit a seasoned Business Analyst with 5 to 8 years proven track record of working on projects with an understanding of the full project life-cycle. Must be able to demonstrate excellent business analysis skills coupled with excellent techniques and ideally with some methodology. Should be confident with the ability to work well the stake holders and to guide and lead them to successful end results. The following are some of the key points about this role: Must be able to analyse the structure of the business (integration between Marketing, Finance & Education) Identify how the business use technology and what their goals are in line with identified requirements. As-Is/To-Be process mapping Identify problems within the business relating, through data modelling techniques and process flows. Have the ability to streamline processes. You will have strong documentation management experience and skills. Communicate with senior people within the organisation. Align internal and external stakeholders of the benefits of new technology or strategies/requirements/processes. Part of this assignment will be to run workshops and training sessions in order to ensure that everyone is on board and understands the processes involved. You will have knowledge of some if not all of the following: Finance systems and integration - tailored around the education sector Marketing & admissions background YoY management of enrolled children/existing pupils Technology within education and use of VLE's Change management expertise The Client and the role is based in Milton Keynes and there will be some travel occasionally. The rate will be dependent on skills you bring to the assignment. Please do send your CV to us in Word format along with your availability.
Data Science Analyst - Travel 60,000 - 70,000 Pro Rata (DOE) Outskirts of Crawley Hybrid Working (2 Days Office / 3 Days WFH) Immediate Start Potential Permanent Opportunity Lloyd Recruitment Services is pleased to be working with a leading travel and leisure organisation to recruit a Data Science Analyst for a newly created position within their Commercial team. Reporting to the Commercial lead, this is an exciting opportunity to join a well-established organisation that is investing heavily in data, analytics, AI and commercial insight. Initially offered on a fixed-term basis, the role has strong potential to become permanent. The Data Science Analyst Role Working closely with the Lead Commercial Analyst, you will use data to drive business performance across membership, travel, leisure and financial service products. You'll be responsible for delivering meaningful insights, developing predictive models, supporting forecasting activities and helping shape the organisation's data science capabilities. Data Science Analyst Key Responsibilities Deliver commercial reporting, management information and KPI dashboards Analyse large and complex datasets to identify trends, opportunities and root causes Build predictive models to support customer acquisition, retention and lifetime value initiatives Support revenue, demand and occupancy forecasting Develop commercial models to evaluate business opportunities and promotions Champion AI and automation initiatives across commercial and marketing teams Create clear, actionable insights for senior stakeholders Work with technical teams to improve data quality and reporting processes About You Industry experience across one or more of the following: travel & tourism, hospitality, memberships, subscriptions or insurance - essential Proven experience in a Data Science, Data Analytics or Commercial Analytics role Advanced SQL and strong data manipulation skills Experience using Python or R for predictive modelling and machine learning Strong dashboarding and visualisation skills using Tableau, Power BI or similar Excellent commercial awareness and analytical thinking Ability to communicate complex findings to non-technical audiences Degree educated in a numerical discipline such as Data Science, Statistics, Mathematics, Economics or Physics What's on Offer 60,000 - 70,000 pro rata (DOE) Hybrid working - 2 days office, 3 days from home Newly created role with significant business exposure Opportunity to influence commercial strategy and AI adoption Potential for the role to become permanent Immediate start available (ideally start within a months' notice) If you're a commercially minded data professional looking to combine analytics, predictive modelling and business insight in a high-impact role, we'd love to hear from you. Lloyd Recruitment Services are acting as an employment agency for this vacancy and are an equal opportunities employer.
23/06/2026
Full time
Data Science Analyst - Travel 60,000 - 70,000 Pro Rata (DOE) Outskirts of Crawley Hybrid Working (2 Days Office / 3 Days WFH) Immediate Start Potential Permanent Opportunity Lloyd Recruitment Services is pleased to be working with a leading travel and leisure organisation to recruit a Data Science Analyst for a newly created position within their Commercial team. Reporting to the Commercial lead, this is an exciting opportunity to join a well-established organisation that is investing heavily in data, analytics, AI and commercial insight. Initially offered on a fixed-term basis, the role has strong potential to become permanent. The Data Science Analyst Role Working closely with the Lead Commercial Analyst, you will use data to drive business performance across membership, travel, leisure and financial service products. You'll be responsible for delivering meaningful insights, developing predictive models, supporting forecasting activities and helping shape the organisation's data science capabilities. Data Science Analyst Key Responsibilities Deliver commercial reporting, management information and KPI dashboards Analyse large and complex datasets to identify trends, opportunities and root causes Build predictive models to support customer acquisition, retention and lifetime value initiatives Support revenue, demand and occupancy forecasting Develop commercial models to evaluate business opportunities and promotions Champion AI and automation initiatives across commercial and marketing teams Create clear, actionable insights for senior stakeholders Work with technical teams to improve data quality and reporting processes About You Industry experience across one or more of the following: travel & tourism, hospitality, memberships, subscriptions or insurance - essential Proven experience in a Data Science, Data Analytics or Commercial Analytics role Advanced SQL and strong data manipulation skills Experience using Python or R for predictive modelling and machine learning Strong dashboarding and visualisation skills using Tableau, Power BI or similar Excellent commercial awareness and analytical thinking Ability to communicate complex findings to non-technical audiences Degree educated in a numerical discipline such as Data Science, Statistics, Mathematics, Economics or Physics What's on Offer 60,000 - 70,000 pro rata (DOE) Hybrid working - 2 days office, 3 days from home Newly created role with significant business exposure Opportunity to influence commercial strategy and AI adoption Potential for the role to become permanent Immediate start available (ideally start within a months' notice) If you're a commercially minded data professional looking to combine analytics, predictive modelling and business insight in a high-impact role, we'd love to hear from you. Lloyd Recruitment Services are acting as an employment agency for this vacancy and are an equal opportunities employer.
Senior Marketing Data Analyst (12 month FTC) London - hybrid 3x a week in office Up to £80,000 This is a high-impact opportunity for a Marketing Data Analyst (FTC) to join a well-established, data-driven business operating at scale. You will work with large and complex digital marketing datasets, partnering closely with senior stakeholders to deliver insights that directly influence commercial performance. This role offers strong visibility, ownership of a key domain, and the chance to shape data-driven decision making within a collaborative analytics function. The Company They are a global, technology-led organisation with a strong focus on digital products and customer experience. Operating across multiple markets, they manage large volumes of customer and marketing data, investing heavily in analytics capabilities. The business has built a mature data function that partners closely with commercial, product and marketing teams. They offer a fast-paced environment with a strong emphasis on innovation and continuous improvement. The Role Analyse performance across digital marketing channels to deliver actionable insights Partner with marketing stakeholders to optimise campaigns and improve ROI Provide insight into customer acquisition, engagement, retention and lifetime value Design and analyse A/B tests to support experimentation and performance improvement Build dashboards and enable self-serve analytics for non-technical stakeholders Collaborate with product, engineering and analytics teams on data solutions Act as a key point of contact for marketing analytics, influencing decision making Your Skills and Experience Strong SQL capability and experience working with large datasets Proven experience in performance analytics within a digital environment Hands-on experience with experimentation and A/B testing Familiarity with tools such as Google Analytics or similar platforms Experience with data visualisation tools such as Looker or equivalent Strong stakeholder management and communication skills Exposure to modern data tools such as DBT is beneficial What They Offer 12-13 month fixed term contract with realistic potential for extension or longer-term opportunity Access to learning, development and a collaborative analytics community How to Apply If you are a commercially minded Marketing Data Analyst looking to make an impact in a fast-moving, data-led environment, apply now to find out more.
23/06/2026
Full time
Senior Marketing Data Analyst (12 month FTC) London - hybrid 3x a week in office Up to £80,000 This is a high-impact opportunity for a Marketing Data Analyst (FTC) to join a well-established, data-driven business operating at scale. You will work with large and complex digital marketing datasets, partnering closely with senior stakeholders to deliver insights that directly influence commercial performance. This role offers strong visibility, ownership of a key domain, and the chance to shape data-driven decision making within a collaborative analytics function. The Company They are a global, technology-led organisation with a strong focus on digital products and customer experience. Operating across multiple markets, they manage large volumes of customer and marketing data, investing heavily in analytics capabilities. The business has built a mature data function that partners closely with commercial, product and marketing teams. They offer a fast-paced environment with a strong emphasis on innovation and continuous improvement. The Role Analyse performance across digital marketing channels to deliver actionable insights Partner with marketing stakeholders to optimise campaigns and improve ROI Provide insight into customer acquisition, engagement, retention and lifetime value Design and analyse A/B tests to support experimentation and performance improvement Build dashboards and enable self-serve analytics for non-technical stakeholders Collaborate with product, engineering and analytics teams on data solutions Act as a key point of contact for marketing analytics, influencing decision making Your Skills and Experience Strong SQL capability and experience working with large datasets Proven experience in performance analytics within a digital environment Hands-on experience with experimentation and A/B testing Familiarity with tools such as Google Analytics or similar platforms Experience with data visualisation tools such as Looker or equivalent Strong stakeholder management and communication skills Exposure to modern data tools such as DBT is beneficial What They Offer 12-13 month fixed term contract with realistic potential for extension or longer-term opportunity Access to learning, development and a collaborative analytics community How to Apply If you are a commercially minded Marketing Data Analyst looking to make an impact in a fast-moving, data-led environment, apply now to find out more.
Equity Research is part of J.P. Morgan's number 1 ranked Global Research franchise. Each team is grouped by sector expertise and aims to provide actionable ideas and thematic insights that empower our institutional clients to make well-informed and strategic investment decisions. We bring clarity to complex situations through extensive sector knowledge and a deep understanding of global markets. As an Equity Research Analyst or Associate within the Oil & Gas Equity Research Team, you will be tasked with cultivating a deep understanding of equities, markets, and companies. Your role will involve collaborating closely with our top-tier team under the mentorship of senior analysts to create insightful reports on companies, sectors, and thematic trends. You will also be responsible for conveying our team's insights on stocks and sectors to our institutional clients. Beyond your immediate team duties, you will be a part of a community of intelligent, inquisitive, and collaborative team members who are given substantial responsibility and exposure early in their careers. We provide extensive training and professional development across the department to support career progression. Job Responsibilities Partner with senior members of the team to produce differentiated investment research and thought leadership for institutional clients across the oil and gas sector Build, maintain, and enhance company valuation models and sector datasets Analyze company disclosures, industry data, and market developments to support investment views and research conclusions Prepare materials for the regular publication of research, including earnings notes, company updates, thematic reports, and marketing presentations Engage with institutional investors, company management teams, and internal partners including Sales, Sales-Traders, and Traders Monitor company, industry, commodity, and macro developments on a daily basis and assess their relevance for stocks under coverage Support the broader franchise through client marketing, idea generation, and timely response to market events Required Qualifications, Capabilities, and Skills Strong interest in the oil and gas sector and willingness to develop deep sector expertise Excellent written and verbal communication skills, with the ability to communicate clearly and credibly with both internal and external stakeholders Strong analytical and financial modelling skills, with the ability to translate data into investment-relevant conclusions Strong numerical skills and close attention to detail Strong pattern-recognition and commercial judgment, with the ability to identify the key stock-specific, sector, commodity, and macro drivers most relevant to investor debate Intellectually curious and quick to learn, with the ability to absorb feedback quickly, refine judgment, and continuously improve High level of ownership and accountability, with the ability to manage workstreams independently, see tasks through from start to finish, and deliver high-quality work under the given deadlines Strong prioritization skills and the ability to operate effectively in a team-oriented environment Strong relationship-building skills, with the confidence to engage with a wide range of internal and external constituencies and the ability to distill complex issues into clear, concise conclusions Preferred qualifications, capabilities, and skills Prior experience in equity research, investment banking, buy-side investing, or a related financial analysis role Strong accounting and valuation foundation Knowledge of the oil and gas value chain, key sector metrics, and major commodity and macro drivers Experience working with large datasets and presenting analysis in a clear, client-ready format This role encompasses the performance of UK regulated activity. The successful candidate will therefore be subject to meeting UK regulatory requirements in the assessment of fitness, propriety, knowledge and competence (as assessed by the Firm) and (where appropriate) approval by the UK Financial Conduct Authority and/or the Prudential Regulation Authority to carry out such activities.
23/06/2026
Full time
Equity Research is part of J.P. Morgan's number 1 ranked Global Research franchise. Each team is grouped by sector expertise and aims to provide actionable ideas and thematic insights that empower our institutional clients to make well-informed and strategic investment decisions. We bring clarity to complex situations through extensive sector knowledge and a deep understanding of global markets. As an Equity Research Analyst or Associate within the Oil & Gas Equity Research Team, you will be tasked with cultivating a deep understanding of equities, markets, and companies. Your role will involve collaborating closely with our top-tier team under the mentorship of senior analysts to create insightful reports on companies, sectors, and thematic trends. You will also be responsible for conveying our team's insights on stocks and sectors to our institutional clients. Beyond your immediate team duties, you will be a part of a community of intelligent, inquisitive, and collaborative team members who are given substantial responsibility and exposure early in their careers. We provide extensive training and professional development across the department to support career progression. Job Responsibilities Partner with senior members of the team to produce differentiated investment research and thought leadership for institutional clients across the oil and gas sector Build, maintain, and enhance company valuation models and sector datasets Analyze company disclosures, industry data, and market developments to support investment views and research conclusions Prepare materials for the regular publication of research, including earnings notes, company updates, thematic reports, and marketing presentations Engage with institutional investors, company management teams, and internal partners including Sales, Sales-Traders, and Traders Monitor company, industry, commodity, and macro developments on a daily basis and assess their relevance for stocks under coverage Support the broader franchise through client marketing, idea generation, and timely response to market events Required Qualifications, Capabilities, and Skills Strong interest in the oil and gas sector and willingness to develop deep sector expertise Excellent written and verbal communication skills, with the ability to communicate clearly and credibly with both internal and external stakeholders Strong analytical and financial modelling skills, with the ability to translate data into investment-relevant conclusions Strong numerical skills and close attention to detail Strong pattern-recognition and commercial judgment, with the ability to identify the key stock-specific, sector, commodity, and macro drivers most relevant to investor debate Intellectually curious and quick to learn, with the ability to absorb feedback quickly, refine judgment, and continuously improve High level of ownership and accountability, with the ability to manage workstreams independently, see tasks through from start to finish, and deliver high-quality work under the given deadlines Strong prioritization skills and the ability to operate effectively in a team-oriented environment Strong relationship-building skills, with the confidence to engage with a wide range of internal and external constituencies and the ability to distill complex issues into clear, concise conclusions Preferred qualifications, capabilities, and skills Prior experience in equity research, investment banking, buy-side investing, or a related financial analysis role Strong accounting and valuation foundation Knowledge of the oil and gas value chain, key sector metrics, and major commodity and macro drivers Experience working with large datasets and presenting analysis in a clear, client-ready format This role encompasses the performance of UK regulated activity. The successful candidate will therefore be subject to meeting UK regulatory requirements in the assessment of fitness, propriety, knowledge and competence (as assessed by the Firm) and (where appropriate) approval by the UK Financial Conduct Authority and/or the Prudential Regulation Authority to carry out such activities.
The Business Analyst is a strategic business partner to the commercial leadership team, sitting at the intersection of business and technology. You will design and build the operational infrastructure that drives predictable, scalable revenue growth, with a particular focus on data, automation and AI-enabled systems. This is a hands on, junior to mid technical role for someone who enjoys building things, connecting tools and turning messy data into clear, usable insight. You will own commercial analytics, forecasting and the core commercial systems, whilst driving data informed decision making across Sales, Marketing and Customer Success. A significant portion of the role involves working with product usage and adoption data, partnering closely with Engineering and Product to connect customer behaviour, feature adoption and platform health to commercial outcomes. You will use AI tools (Claude, coding assistants and others) to rapidly prototype, automate and deploy business processes, dashboards and lightweight internal applications. A core expectation is to champion an AI first approach: using automation and emerging tools not just to make existing processes more efficient, but to help the organisation re imagine how we work. Key Responsibilities Revenue Strategy & Insight Deliver clean, reliable data and analysis on NRR, GRR, logo retention, expansion and churn, enabling commercial leaders to turn metrics into actionable strategy. Partner with Sales, Marketing and Existing Business teams to identify growth levers, segment trends and operational bottlenecks across the customer lifecycle. Analyse cohort behaviour, product adoption and revenue drivers, surfacing leading indicators that allow teams to act proactively. Translate complex datasets into clear narratives, dashboards and recommendations for senior stakeholders and the board. Revenue Operations, Process & Systems Act as commercial data and systems owner: define data models, governance, definitions and quality standards across Salesforce and associated tools. Design scalable workflows, playbooks and operating rhythms that support continuous growth, with an emphasis on automation over manual process. Drive Salesforce excellence where needed (structure, hygiene, automation), while recognising that Salesforce is one component of a broader AI centred stack. Build and maintain executive level dashboards (e.g. in QuickSight or similar) that provide real time visibility into pipeline health, forecast accuracy and business performance. Lead cross functional initiatives to improve commercial efficiency, reduce friction and accelerate revenue velocity, using AI and lightweight applications to connect systems. AI, Automation & Internal Tools Own and evolve the commercial tech stack (Salesforce and other tools), with a growing focus on AI connectivity, automation and "glue" systems that join data and workflows together. Use AI coding assistants and Claude to build small internal applications, scripts and dashboards (for example, tools to host and serve dashboards or automate data pipelines). Prototype and deploy AI enabled workflows for the commercial teams, such as transcript analysis, SDR enablement and campaign insights. Ensure seamless data flow between commercial systems, Finance and product/usage data systems. Stakeholder Management & Enablement Operate as a trusted advisor to the COO, CCO and commercial leadership, providing pragmatic, data grounded recommendations. Work closely with leaders such as the VP,Sales, VP, Customer and VP,Marketing to understand their questions, then design data and tooling that answers them. Support onboarding and enablement of commercial team members on systems, dashboards and AI enabled ways of working. Build strong cross functional relationships, influencing without authority to drive alignment and execution across Commercial, Product, Engineering and Finance. Essential 3-5 years' experience in Business Analysis, Data/Commercial Analysis, Product Analytics, Strategy, Operations or Software Engineering, ideally with exposure to commercial or revenue facing functions. Advanced analytical skills: expert level Excel/Google Sheets and strong capability in SQL and/or a BI tool (e.g. QuickSight, Looker, Tableau, Power BI). Confident working with APIs, databases and modern data stacks (e.g. PostgreSQL, MongoDB, cloud data stores), and comfortable learning new tools quickly. Comfortable working with product usage and adoption data, collaborating with Engineering and Product to analyse behaviour and inform commercial strategy. Demonstrable experience using AI tools (e.g. Claude, GitHub Copilot or similar) to accelerate analysis, build small applications or automate workflows. Proven ability to design processes, frameworks and documentation that drive operational excellence and can be owned by business teams once implemented. Excellent stakeholder management: confident communicating with senior leadership and cross-functional teams Structured problem solver with strong attention to detail and commercial pragmatism Desirable Background as a junior or mid level software developer or data engineer who enjoys business problems more than pure software engineering. Experience with AWS QuickSight or similar cloud based BI platforms. Experience working in legal tech, professional services software or complex B2B sales environments Exposure to AI enabled tools for data analysis, automation or insight generation Strong understanding of B2B SaaS business models and key commercial metrics (NRR, GRR, CAC, LTV, pipeline dynamics) What we offer you Competitive salary (depending on experience) 25 days holiday per year (plus public holidays). Early Finish Fridays - on the last Friday of every month, we finish at lunchtime! Pension with NEST. Personal Learning & Development budget. Enhanced parental leave policies so you can spend more time with your family. Lots of opportunities for accelerated professional development and career progression. Work alongside a supportive and talented team with the opportunity to grow one of the world's leading LegalTech scale ups. A warm, genuinely collaborative culture and an awesome team; and Regular socials. Power in diversity We put users at the heart of our design to provide legal transaction experiences that everyone loves. In order to make that a reality, we seek to foster a diverse and inclusive working environment that can empower our people to be creative, effective and innovative, to build a brand we are proud of. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence. We're committed to building a diverse team, and are constantly looking for ways to improve our processes to help us do that.
23/06/2026
Full time
The Business Analyst is a strategic business partner to the commercial leadership team, sitting at the intersection of business and technology. You will design and build the operational infrastructure that drives predictable, scalable revenue growth, with a particular focus on data, automation and AI-enabled systems. This is a hands on, junior to mid technical role for someone who enjoys building things, connecting tools and turning messy data into clear, usable insight. You will own commercial analytics, forecasting and the core commercial systems, whilst driving data informed decision making across Sales, Marketing and Customer Success. A significant portion of the role involves working with product usage and adoption data, partnering closely with Engineering and Product to connect customer behaviour, feature adoption and platform health to commercial outcomes. You will use AI tools (Claude, coding assistants and others) to rapidly prototype, automate and deploy business processes, dashboards and lightweight internal applications. A core expectation is to champion an AI first approach: using automation and emerging tools not just to make existing processes more efficient, but to help the organisation re imagine how we work. Key Responsibilities Revenue Strategy & Insight Deliver clean, reliable data and analysis on NRR, GRR, logo retention, expansion and churn, enabling commercial leaders to turn metrics into actionable strategy. Partner with Sales, Marketing and Existing Business teams to identify growth levers, segment trends and operational bottlenecks across the customer lifecycle. Analyse cohort behaviour, product adoption and revenue drivers, surfacing leading indicators that allow teams to act proactively. Translate complex datasets into clear narratives, dashboards and recommendations for senior stakeholders and the board. Revenue Operations, Process & Systems Act as commercial data and systems owner: define data models, governance, definitions and quality standards across Salesforce and associated tools. Design scalable workflows, playbooks and operating rhythms that support continuous growth, with an emphasis on automation over manual process. Drive Salesforce excellence where needed (structure, hygiene, automation), while recognising that Salesforce is one component of a broader AI centred stack. Build and maintain executive level dashboards (e.g. in QuickSight or similar) that provide real time visibility into pipeline health, forecast accuracy and business performance. Lead cross functional initiatives to improve commercial efficiency, reduce friction and accelerate revenue velocity, using AI and lightweight applications to connect systems. AI, Automation & Internal Tools Own and evolve the commercial tech stack (Salesforce and other tools), with a growing focus on AI connectivity, automation and "glue" systems that join data and workflows together. Use AI coding assistants and Claude to build small internal applications, scripts and dashboards (for example, tools to host and serve dashboards or automate data pipelines). Prototype and deploy AI enabled workflows for the commercial teams, such as transcript analysis, SDR enablement and campaign insights. Ensure seamless data flow between commercial systems, Finance and product/usage data systems. Stakeholder Management & Enablement Operate as a trusted advisor to the COO, CCO and commercial leadership, providing pragmatic, data grounded recommendations. Work closely with leaders such as the VP,Sales, VP, Customer and VP,Marketing to understand their questions, then design data and tooling that answers them. Support onboarding and enablement of commercial team members on systems, dashboards and AI enabled ways of working. Build strong cross functional relationships, influencing without authority to drive alignment and execution across Commercial, Product, Engineering and Finance. Essential 3-5 years' experience in Business Analysis, Data/Commercial Analysis, Product Analytics, Strategy, Operations or Software Engineering, ideally with exposure to commercial or revenue facing functions. Advanced analytical skills: expert level Excel/Google Sheets and strong capability in SQL and/or a BI tool (e.g. QuickSight, Looker, Tableau, Power BI). Confident working with APIs, databases and modern data stacks (e.g. PostgreSQL, MongoDB, cloud data stores), and comfortable learning new tools quickly. Comfortable working with product usage and adoption data, collaborating with Engineering and Product to analyse behaviour and inform commercial strategy. Demonstrable experience using AI tools (e.g. Claude, GitHub Copilot or similar) to accelerate analysis, build small applications or automate workflows. Proven ability to design processes, frameworks and documentation that drive operational excellence and can be owned by business teams once implemented. Excellent stakeholder management: confident communicating with senior leadership and cross-functional teams Structured problem solver with strong attention to detail and commercial pragmatism Desirable Background as a junior or mid level software developer or data engineer who enjoys business problems more than pure software engineering. Experience with AWS QuickSight or similar cloud based BI platforms. Experience working in legal tech, professional services software or complex B2B sales environments Exposure to AI enabled tools for data analysis, automation or insight generation Strong understanding of B2B SaaS business models and key commercial metrics (NRR, GRR, CAC, LTV, pipeline dynamics) What we offer you Competitive salary (depending on experience) 25 days holiday per year (plus public holidays). Early Finish Fridays - on the last Friday of every month, we finish at lunchtime! Pension with NEST. Personal Learning & Development budget. Enhanced parental leave policies so you can spend more time with your family. Lots of opportunities for accelerated professional development and career progression. Work alongside a supportive and talented team with the opportunity to grow one of the world's leading LegalTech scale ups. A warm, genuinely collaborative culture and an awesome team; and Regular socials. Power in diversity We put users at the heart of our design to provide legal transaction experiences that everyone loves. In order to make that a reality, we seek to foster a diverse and inclusive working environment that can empower our people to be creative, effective and innovative, to build a brand we are proud of. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence. We're committed to building a diverse team, and are constantly looking for ways to improve our processes to help us do that.
Music is UniversalIt's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email A Side: A Day in The LifeUMG's Global Insight team manages the most powerful and effective data sets and research capabilities in the music industry. As well as utilising sales, commercial / partner data, and social media analytics, the Global Insight team manages extensive consumer data from around the world, delivering unique detail into evolving attitudes and behaviours of today's music consumers.The Consumer Insight team (part of Global Insights department) leads strategic insights and research for Universal Music Group's esteemed record labels and business units, supporting digital, commercial, and A&R label teams.Global Insight is a 20+ staff team, with presence in London, New York and Los Angeles. We are looking for a proactive, enthusiastic, and confident Data Analysis intern to join a successful team of dedicated and passionate analysts & researchers. This role is based in London reporting directly to Senior Manager, Data Analytics.The B Side: Skills & ExperienceWe're looking for a technically strong Senior Analyst who can not only work deeply with data, but also translate complex analysis into clear, compelling narratives for stakeholders.This role sits at the intersection of data, music, and strategy - supporting A&R, marketing, and commercial teams by delivering high-quality analysis and packaging insights into executive-ready presentations that drive decisions.Be AnalyticalWork closely with the Global Insight Senior Manager and Directors to support strategic analysis that informs A&R, commercial, and digital decision-making across UMGAnalyse large, complex datasets (streaming, audience, campaign, commercial) to identify trends, opportunities, and risksWrite efficient, scalable SQL queries and develop analytical workflows (Python/R where applicable)Build frameworks and performance tracking methodologiesEnsure data quality, consistency, and robustness across multiple data sourcesDevelop dashboards and automated reporting across BI tools (Power BI, Tableau, Looker, etc.)Analyse playlist ecosystems, audience behaviour, and market trends to identify emerging talent and growth opportunitiesSupport A&R and commercial decision-making with data-driven insights and performance analysisBe CollaborativeTranslate complex analysis into clear, structured narratives tailored to stakeholdersBuild high-impact decks and presentations that communicate insights, recommendations, and strategic implicationsPresent findings to cross-functional teams and senior stakeholders with confidence and clarityPartner with A&R, marketing, and commercial teams to understand business needs and shape analytical approachesCombine data insights with market context to deliver actionable recommendations ("so what")Contribute to a culture of insight-sharing, clarity, and continuous improvement across teamsSkills & ExperienceProven experience (2+ years) in analytics, insight, or data science roles, ideally within media, entertainment, or consumer industries.Strong problem-solving skills, with the ability to multi-task within a fast-paced, dynamic environment.Be able to prioritise, work to tight deadlines and have a strong sense of initiative.Advanced Excel and strong data visualisation skills (Tableau, Power BI, Looker, or equivalent).Experience working with large datasets from diverse sources (e.g., streaming, sales, and social media).Excellent communication skills with the ability to distil complex data into clear narratives.Understanding of how the industry operates, including streaming platforms, audience trends, and revenue models.Solid experience with SQL for data querying and manipulation.Familiarity with Python or R for basic data analysis and automation (desirable).Personal SpecificationThrives in a fast-paced, collaborative environment.Passionate about data, music, and storytelling through insight.Naturally curious and inquisitive with a can-do attitude.Strong attention to detail and organisation skills.Collaborative and team-oriented mindset with the ability to work independently when required.Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.Job Category:Universal Music Group
23/06/2026
Full time
Music is UniversalIt's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email A Side: A Day in The LifeUMG's Global Insight team manages the most powerful and effective data sets and research capabilities in the music industry. As well as utilising sales, commercial / partner data, and social media analytics, the Global Insight team manages extensive consumer data from around the world, delivering unique detail into evolving attitudes and behaviours of today's music consumers.The Consumer Insight team (part of Global Insights department) leads strategic insights and research for Universal Music Group's esteemed record labels and business units, supporting digital, commercial, and A&R label teams.Global Insight is a 20+ staff team, with presence in London, New York and Los Angeles. We are looking for a proactive, enthusiastic, and confident Data Analysis intern to join a successful team of dedicated and passionate analysts & researchers. This role is based in London reporting directly to Senior Manager, Data Analytics.The B Side: Skills & ExperienceWe're looking for a technically strong Senior Analyst who can not only work deeply with data, but also translate complex analysis into clear, compelling narratives for stakeholders.This role sits at the intersection of data, music, and strategy - supporting A&R, marketing, and commercial teams by delivering high-quality analysis and packaging insights into executive-ready presentations that drive decisions.Be AnalyticalWork closely with the Global Insight Senior Manager and Directors to support strategic analysis that informs A&R, commercial, and digital decision-making across UMGAnalyse large, complex datasets (streaming, audience, campaign, commercial) to identify trends, opportunities, and risksWrite efficient, scalable SQL queries and develop analytical workflows (Python/R where applicable)Build frameworks and performance tracking methodologiesEnsure data quality, consistency, and robustness across multiple data sourcesDevelop dashboards and automated reporting across BI tools (Power BI, Tableau, Looker, etc.)Analyse playlist ecosystems, audience behaviour, and market trends to identify emerging talent and growth opportunitiesSupport A&R and commercial decision-making with data-driven insights and performance analysisBe CollaborativeTranslate complex analysis into clear, structured narratives tailored to stakeholdersBuild high-impact decks and presentations that communicate insights, recommendations, and strategic implicationsPresent findings to cross-functional teams and senior stakeholders with confidence and clarityPartner with A&R, marketing, and commercial teams to understand business needs and shape analytical approachesCombine data insights with market context to deliver actionable recommendations ("so what")Contribute to a culture of insight-sharing, clarity, and continuous improvement across teamsSkills & ExperienceProven experience (2+ years) in analytics, insight, or data science roles, ideally within media, entertainment, or consumer industries.Strong problem-solving skills, with the ability to multi-task within a fast-paced, dynamic environment.Be able to prioritise, work to tight deadlines and have a strong sense of initiative.Advanced Excel and strong data visualisation skills (Tableau, Power BI, Looker, or equivalent).Experience working with large datasets from diverse sources (e.g., streaming, sales, and social media).Excellent communication skills with the ability to distil complex data into clear narratives.Understanding of how the industry operates, including streaming platforms, audience trends, and revenue models.Solid experience with SQL for data querying and manipulation.Familiarity with Python or R for basic data analysis and automation (desirable).Personal SpecificationThrives in a fast-paced, collaborative environment.Passionate about data, music, and storytelling through insight.Naturally curious and inquisitive with a can-do attitude.Strong attention to detail and organisation skills.Collaborative and team-oriented mindset with the ability to work independently when required.Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.Job Category:Universal Music Group
Salary: £45,000 - 50,000 per year Requirements Experience in a data, reporting, BI, or analytics role Strong Excel skills Strong Power BI skills Confidence working across multiple datasets Experience improving data quality and consistency Ability to structure problems and investigate trends Ability to translate findings into practical insight Ability to communicate insight clearly to non-technical stakeholders Commercial curiosity and a proactive mindset SQL experience would be beneficial but is not essential Microsoft Dynamics experience would be beneficial but is not essential Customer insight experience would be beneficial but is not essential Responsibilities Build and improve trusted Power BI dashboards and reporting used across our business Analyse sales, customer, pricing, and operational data Identify trends, risks, and opportunities to support decision-making Support customer insight and survey analysis Explore how AI tools and emerging technologies can improve reporting, insight, and business processes Improve data quality, validation, and reporting accuracy Prepare clear reports and recommendations for stakeholders Work with teams across Sales, Marketing, Operations, and Finance Technologies AI Excel Support Marketing Power BI SQL More We are Argyll, creating some of Londons most distinctive premium workspaces through exceptional service, elegant design, and commercially driven thinking. We are building a growing Data & Insights function at an exciting stage, giving you the opportunity to shape reporting, influence stakeholders, and help embed a more data-led culture across the organisation. This role offers genuine variety, meaningful projects, and the chance to work closely with senior stakeholders while helping us improve how data supports smarter, more responsible decision-making. We are committed to continuous improvement, innovation, sustainability, and inclusive working practices, and we encourage our teams to think consciously about ESG, long-term business impact, and better ways of working. We are a Great Place to Work, one of the UKs Top 100 Most Loved Workplaces, and a Sunday Times Best Places to Work. last updated 25 week of 2026
23/06/2026
Full time
Salary: £45,000 - 50,000 per year Requirements Experience in a data, reporting, BI, or analytics role Strong Excel skills Strong Power BI skills Confidence working across multiple datasets Experience improving data quality and consistency Ability to structure problems and investigate trends Ability to translate findings into practical insight Ability to communicate insight clearly to non-technical stakeholders Commercial curiosity and a proactive mindset SQL experience would be beneficial but is not essential Microsoft Dynamics experience would be beneficial but is not essential Customer insight experience would be beneficial but is not essential Responsibilities Build and improve trusted Power BI dashboards and reporting used across our business Analyse sales, customer, pricing, and operational data Identify trends, risks, and opportunities to support decision-making Support customer insight and survey analysis Explore how AI tools and emerging technologies can improve reporting, insight, and business processes Improve data quality, validation, and reporting accuracy Prepare clear reports and recommendations for stakeholders Work with teams across Sales, Marketing, Operations, and Finance Technologies AI Excel Support Marketing Power BI SQL More We are Argyll, creating some of Londons most distinctive premium workspaces through exceptional service, elegant design, and commercially driven thinking. We are building a growing Data & Insights function at an exciting stage, giving you the opportunity to shape reporting, influence stakeholders, and help embed a more data-led culture across the organisation. This role offers genuine variety, meaningful projects, and the chance to work closely with senior stakeholders while helping us improve how data supports smarter, more responsible decision-making. We are committed to continuous improvement, innovation, sustainability, and inclusive working practices, and we encourage our teams to think consciously about ESG, long-term business impact, and better ways of working. We are a Great Place to Work, one of the UKs Top 100 Most Loved Workplaces, and a Sunday Times Best Places to Work. last updated 25 week of 2026
Senior E-Commerce AnalystApplylocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R\_784922 Title: Senior Ecommerce Analyst Department : Ecommerce Reports to: Director of Ecommerce About us Jimmy Choo is a pioneering, luxury accessories house. Established in 1996, the brand originated as an East London atelier, specialising in hand-crafted shoes; today it's a global powerhouse with artisanal craft at its heart and an aesthetic grounded in modern glamour. The OpportunityThis is a unique opportunity to be the foundational member of our ecommerce team. Reporting directly to the Director of Ecommerce, you will play a critical role in building our reporting and analytics capabilities from the ground up. Your work will focus on commercial performance, helping teams make smarter, data-driven decisions about product, performance, and strategy. If you love transforming complex data into beautiful, automated, and actionable dashboards, this is the role for you. What You'll Be Doing Build & Automate: Design, develop, and maintain powerful and intuitive dashboards in Power BI & Excel to track key business KPIs (e.g., sales, stock, views, engagement, customer LTV). Be the Data Guru: Act as the go-to person for performance reporting, ensuring data is accurate, reliable, and easily accessible to stakeholders. Dig Deep: Use SQL and Python to query our data warehouse, joining complex datasets to uncover trends, opportunities, and the "why" behind numbers. Drive Efficiency: Proactively identify opportunities to automate manual reporting processes, freeing up time for deeper, more impactful analysis. Translate & Communicate: Work with stakeholders in Trading, Planning, Content, Marketing and Finance to understand their challenges and translate business questions into analytical projects. Assist Trade team with annual planning and forecasting. Work with finance to submit budgeting. What You'll Bring Essential: 5+ years of experience in a data analytics or business intelligence role. Advanced proficiency in Power BI, including building data models, writing complex DAX measures, and using Power Query for ETL. Strong SQL skills for querying and manipulating large datasets. Experience using Python (pandas, NumPy) for data analysis and automation. A meticulous eye for detail and a passion for data accuracy and visualisation. Excellent communication skills and the ability to explain technical concepts to non-technical audiences.Non Essential: Experience within an e-commerce or retail environment. Familiarity with Power BI, GA, ADE Our values - creativity, openness and courage. Equality, diversity and inclusion At Jimmy Choo, we are committed to building a representative business that is empowered by our celebration of difference and enriches our creative solutions. We are all responsible for creating a diverse and inclusive workplace. We try to inspire change and growth within each other and believe success is a result that comes from our differences. Jimmy Choo is proud to be an equal opportunity employer committed to inclusivity.-The Company is an equal employment opportunity employer. The Company's policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories.At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at compliance with certain Pay Transparency laws, employers are required to disclose a compensation range. The range for this position will vary based on role requirements, skill set, and years of experience. Please note that for salaried roles, the figures reflect full-time equivalency, while for hourly roles, the figures represent the applicable hourly rate.Compensation Range:40,700.00 - 55,100.00 GBP
23/06/2026
Full time
Senior E-Commerce AnalystApplylocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R\_784922 Title: Senior Ecommerce Analyst Department : Ecommerce Reports to: Director of Ecommerce About us Jimmy Choo is a pioneering, luxury accessories house. Established in 1996, the brand originated as an East London atelier, specialising in hand-crafted shoes; today it's a global powerhouse with artisanal craft at its heart and an aesthetic grounded in modern glamour. The OpportunityThis is a unique opportunity to be the foundational member of our ecommerce team. Reporting directly to the Director of Ecommerce, you will play a critical role in building our reporting and analytics capabilities from the ground up. Your work will focus on commercial performance, helping teams make smarter, data-driven decisions about product, performance, and strategy. If you love transforming complex data into beautiful, automated, and actionable dashboards, this is the role for you. What You'll Be Doing Build & Automate: Design, develop, and maintain powerful and intuitive dashboards in Power BI & Excel to track key business KPIs (e.g., sales, stock, views, engagement, customer LTV). Be the Data Guru: Act as the go-to person for performance reporting, ensuring data is accurate, reliable, and easily accessible to stakeholders. Dig Deep: Use SQL and Python to query our data warehouse, joining complex datasets to uncover trends, opportunities, and the "why" behind numbers. Drive Efficiency: Proactively identify opportunities to automate manual reporting processes, freeing up time for deeper, more impactful analysis. Translate & Communicate: Work with stakeholders in Trading, Planning, Content, Marketing and Finance to understand their challenges and translate business questions into analytical projects. Assist Trade team with annual planning and forecasting. Work with finance to submit budgeting. What You'll Bring Essential: 5+ years of experience in a data analytics or business intelligence role. Advanced proficiency in Power BI, including building data models, writing complex DAX measures, and using Power Query for ETL. Strong SQL skills for querying and manipulating large datasets. Experience using Python (pandas, NumPy) for data analysis and automation. A meticulous eye for detail and a passion for data accuracy and visualisation. Excellent communication skills and the ability to explain technical concepts to non-technical audiences.Non Essential: Experience within an e-commerce or retail environment. Familiarity with Power BI, GA, ADE Our values - creativity, openness and courage. Equality, diversity and inclusion At Jimmy Choo, we are committed to building a representative business that is empowered by our celebration of difference and enriches our creative solutions. We are all responsible for creating a diverse and inclusive workplace. We try to inspire change and growth within each other and believe success is a result that comes from our differences. Jimmy Choo is proud to be an equal opportunity employer committed to inclusivity.-The Company is an equal employment opportunity employer. The Company's policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories.At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at compliance with certain Pay Transparency laws, employers are required to disclose a compensation range. The range for this position will vary based on role requirements, skill set, and years of experience. Please note that for salaried roles, the figures reflect full-time equivalency, while for hourly roles, the figures represent the applicable hourly rate.Compensation Range:40,700.00 - 55,100.00 GBP
We are a leading digital payment company that helps millions of households save money. Our data analytics team uses machine learning, experimentation and analytics techniques on the Google Cloud Platform, GitHub, DBT and Tableau to understand user behaviour and optimise marketing and user experience. WHAT YOU WILL BE DOING Work pro actively with the analytics team to deliver high impact projects that empower people across the business to make data driven decisions by building self serve reports and recommendations. Deliver actionable insights across the MoneySuperMarket, MoneySavingExperts and QuidCo brands. Build relationships with stakeholders and communicate findings and recommendations to the relevant audience. Troubleshoot and optimise existing data sources. Collaborate with Data Engineers to productionise valuable output from your projects into commonly used data tables. Support and be supported by other data analysts, data scientists and data engineers through knowledge sharing and upskilling. Learn and grow your capabilities with the latest technology, including statistics, data storytelling, web and mobile app technologies and machine learning. WHAT WE LOOK FOR Previous professional experience in data analytics. Experience with BI reporting tools such as Tableau or PowerBI. Experience with app analytics tools such as Google Analytics. A good working knowledge of SQL. Experience with code development tools such as GitHub and DBT. Experience in managing stakeholder work requests. Comfortable manipulating and analysing complex, high volume, high dimensional data from varying sources and formats. Detail oriented and adept at resolving bugs in SQL code and data cross checks. Adept at data visualisation. Ability to communicate complex quantitative analysis in a clear, precise and actionable manner to senior management. WHAT REWARDS ARE ON OFFER Up to 27 holidays plus bank holidays Employer pension contribution up to 6% Bonus scheme Digital Doctor on demand Work from anywhere scheme - 2 weeks per year Financial coaching Mental health platform access OUR COMMITMENT TO INCLUSION We are committed to minimising systemic bias and creating a level playing field for all candidates. We welcome reasonable accommodations in the application process and encourage all applicants to share their needs without disclosing any disability or condition.
23/06/2026
Full time
We are a leading digital payment company that helps millions of households save money. Our data analytics team uses machine learning, experimentation and analytics techniques on the Google Cloud Platform, GitHub, DBT and Tableau to understand user behaviour and optimise marketing and user experience. WHAT YOU WILL BE DOING Work pro actively with the analytics team to deliver high impact projects that empower people across the business to make data driven decisions by building self serve reports and recommendations. Deliver actionable insights across the MoneySuperMarket, MoneySavingExperts and QuidCo brands. Build relationships with stakeholders and communicate findings and recommendations to the relevant audience. Troubleshoot and optimise existing data sources. Collaborate with Data Engineers to productionise valuable output from your projects into commonly used data tables. Support and be supported by other data analysts, data scientists and data engineers through knowledge sharing and upskilling. Learn and grow your capabilities with the latest technology, including statistics, data storytelling, web and mobile app technologies and machine learning. WHAT WE LOOK FOR Previous professional experience in data analytics. Experience with BI reporting tools such as Tableau or PowerBI. Experience with app analytics tools such as Google Analytics. A good working knowledge of SQL. Experience with code development tools such as GitHub and DBT. Experience in managing stakeholder work requests. Comfortable manipulating and analysing complex, high volume, high dimensional data from varying sources and formats. Detail oriented and adept at resolving bugs in SQL code and data cross checks. Adept at data visualisation. Ability to communicate complex quantitative analysis in a clear, precise and actionable manner to senior management. WHAT REWARDS ARE ON OFFER Up to 27 holidays plus bank holidays Employer pension contribution up to 6% Bonus scheme Digital Doctor on demand Work from anywhere scheme - 2 weeks per year Financial coaching Mental health platform access OUR COMMITMENT TO INCLUSION We are committed to minimising systemic bias and creating a level playing field for all candidates. We welcome reasonable accommodations in the application process and encourage all applicants to share their needs without disclosing any disability or condition.
Salary: £55,000 - 55,000 per year Requirements We are looking for a detail-oriented MarTech & Web Analytics Specialist with strong hands on experience in Google Tag Manager, Google Analytics, consent management, conversion tracking, event tracking, and digital measurement. We need proven experience managing tracking across web and mobile environments, landing pages, campaigns, and multiple markets. We require experience with consent management platforms and a solid understanding of GDPR and privacy-compliant tracking. We are seeking someone with strong troubleshooting skills and the ability to independently resolve technical tracking issues. We need familiarity with cross domain tracking, data layer structures, and marketing attribution tools such as Google Ads, Floodlights, Meta Pixel, AppsFlyer, SDKs, or similar. We require experience collaborating with marketing, analytics, product, engineering, and external technical teams. We value experience in performance-driven industries such as iGaming, betting, ecommerce, or digital marketing. We are looking for a proactive, highly organised, and detail-focused professional with strong ownership and accountability. Front-end development skills in HTML, CSS, and JavaScript are advantageous. Experience with server-side tracking, CAPI, S2S, Reporting APIs, app tracking, Firebase, or similar platforms is an advantage. Responsibilities We will rely on you to own and manage Google Tag Manager across active brands, countries, and markets. We will expect you to maintain our Consent Management Platform and Google Analytics properties across web and app environments. You will implement and maintain conversion tracking, event tracking, marketing pixels, and third party tags. You will ensure tracking accuracy and measurement reliability across our digital platforms and campaigns. You will maintain compliance with GDPR, consent requirements, and evolving privacy standards. You will keep our data layer structured, scalable, and reliable. You will monitor tracking performance and proactively identify inconsistencies or issues. You will act as the main point of contact for tracking-related issues and resolve discrepancies in conversion data. You will debug tracking across landing pages, multi step funnels, and cross domain journeys. You will support and maintain server side tracking implementations, including S2S, CAPI, and Reporting APIs. You will audit GTM containers, tags, triggers, variables, and data consistency across platforms. You will reduce reliance on external engineering teams by resolving tracking issues independently where possible. You will build, update, and maintain marketing landing pages through our CMS platforms. You will support landing pages for PPC, Paid Social, and performance marketing campaigns. You will implement tracking requirements directly into front end code when required. You will ensure pages are responsive, performant, and technically sound. You will support rapid deployment of campaign updates without unnecessary delays. You will act as a bridge between marketing and technical teams. You will translate business requirements into clear technical specifications. You will validate and QA test implementations delivered by external teams. You will challenge and verify technical implementation where required. You will maintain documentation for GTM structure, tagging frameworks, and tracking setups across multiple markets. You will establish and enforce best practices for tracking implementation. You will support consistency, audit readiness, quality control, and future scalability across our web properties. Technologies CMS CSS Firebase Support JavaScript Marketing Mobile Web QA Testing More We are a leading organisation within the iGaming and online entertainment industry, and this hybrid London-based role sits at the intersection of marketing, analytics, and engineering. You will join our growing marketing team and report into the Senior Marketing Analyst, working as a key liaison between internal stakeholders and external technical teams. This is a hands on role for a technically minded, proactive, and detail-oriented professional who is comfortable working across both technical and non technical teams. We offer 24 days of annual leave with additional days after 3 years of service, a hybrid working model with 3 days in the office and 2 days from home, a competitive salary plus annual bonus after probation, private healthcare and life insurance after probation, pension scheme participation, and regular team events including monthly lunches and corporate gatherings. You will have the opportunity to grow professionally within one of the worlds largest iGaming organisations in a fast paced, collaborative, and international environment. last updated 25 week of 2026
23/06/2026
Full time
Salary: £55,000 - 55,000 per year Requirements We are looking for a detail-oriented MarTech & Web Analytics Specialist with strong hands on experience in Google Tag Manager, Google Analytics, consent management, conversion tracking, event tracking, and digital measurement. We need proven experience managing tracking across web and mobile environments, landing pages, campaigns, and multiple markets. We require experience with consent management platforms and a solid understanding of GDPR and privacy-compliant tracking. We are seeking someone with strong troubleshooting skills and the ability to independently resolve technical tracking issues. We need familiarity with cross domain tracking, data layer structures, and marketing attribution tools such as Google Ads, Floodlights, Meta Pixel, AppsFlyer, SDKs, or similar. We require experience collaborating with marketing, analytics, product, engineering, and external technical teams. We value experience in performance-driven industries such as iGaming, betting, ecommerce, or digital marketing. We are looking for a proactive, highly organised, and detail-focused professional with strong ownership and accountability. Front-end development skills in HTML, CSS, and JavaScript are advantageous. Experience with server-side tracking, CAPI, S2S, Reporting APIs, app tracking, Firebase, or similar platforms is an advantage. Responsibilities We will rely on you to own and manage Google Tag Manager across active brands, countries, and markets. We will expect you to maintain our Consent Management Platform and Google Analytics properties across web and app environments. You will implement and maintain conversion tracking, event tracking, marketing pixels, and third party tags. You will ensure tracking accuracy and measurement reliability across our digital platforms and campaigns. You will maintain compliance with GDPR, consent requirements, and evolving privacy standards. You will keep our data layer structured, scalable, and reliable. You will monitor tracking performance and proactively identify inconsistencies or issues. You will act as the main point of contact for tracking-related issues and resolve discrepancies in conversion data. You will debug tracking across landing pages, multi step funnels, and cross domain journeys. You will support and maintain server side tracking implementations, including S2S, CAPI, and Reporting APIs. You will audit GTM containers, tags, triggers, variables, and data consistency across platforms. You will reduce reliance on external engineering teams by resolving tracking issues independently where possible. You will build, update, and maintain marketing landing pages through our CMS platforms. You will support landing pages for PPC, Paid Social, and performance marketing campaigns. You will implement tracking requirements directly into front end code when required. You will ensure pages are responsive, performant, and technically sound. You will support rapid deployment of campaign updates without unnecessary delays. You will act as a bridge between marketing and technical teams. You will translate business requirements into clear technical specifications. You will validate and QA test implementations delivered by external teams. You will challenge and verify technical implementation where required. You will maintain documentation for GTM structure, tagging frameworks, and tracking setups across multiple markets. You will establish and enforce best practices for tracking implementation. You will support consistency, audit readiness, quality control, and future scalability across our web properties. Technologies CMS CSS Firebase Support JavaScript Marketing Mobile Web QA Testing More We are a leading organisation within the iGaming and online entertainment industry, and this hybrid London-based role sits at the intersection of marketing, analytics, and engineering. You will join our growing marketing team and report into the Senior Marketing Analyst, working as a key liaison between internal stakeholders and external technical teams. This is a hands on role for a technically minded, proactive, and detail-oriented professional who is comfortable working across both technical and non technical teams. We offer 24 days of annual leave with additional days after 3 years of service, a hybrid working model with 3 days in the office and 2 days from home, a competitive salary plus annual bonus after probation, private healthcare and life insurance after probation, pension scheme participation, and regular team events including monthly lunches and corporate gatherings. You will have the opportunity to grow professionally within one of the worlds largest iGaming organisations in a fast paced, collaborative, and international environment. last updated 25 week of 2026
Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Shift Day Job Description The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers and consumers discover, access, govern, and leverage data. As the Data Catalog Product Manager, you will play a pivotal role in building a unified, multi-channel data marketplace where thousands of firmwide datasets become easy to find, preview, and integrate across application and AI use cases. You will own the end-to-end vision, strategy, and execution - spanning a rich web UI, programmatic APIs, and future agentic integrations (Claude, Copilot, internal AI assistants) that meet consumers where they already work. We want someone who leads with problems, not solutions - who brings deep UX and service design expertise, has built catalog or marketplace products at scale, and can articulate how intelligent discovery evolves in an agentic AI world. What You'll Do Own the Catalog Vision & Strategy Define the multi-year product vision and roadmap for firmwide data discovery serving data scientists, ML engineers, analytics engineers, and increasingly business users. Establish north-star metrics tied to real impact: time-to-data, publishing velocity, discovery-to-integration conversion, repeat usage, and governance compliance . Own the full lifecycle from problem discovery delivery adoption iteration. Design a World-Class Discovery Experience Lead the UX and service design vision - intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations - inspired by the best consumer marketplace patterns (Kaggle, Spotify, App Store). Build for Multi-Channel: UI, API & Agents Architect an API-first platform powering a beautiful web UI today and programmatic access for code-first engineers. Meet consumers in their daily tools - notebooks, IDEs, orchestration platforms, chat interfaces, copilots - eliminating context-switching. Design composable, reusable solutions that integrate with the broader CDAO ecosystem. Champion Both Sides of the Marketplace Producers: Make it effortless to publish, document, version, and maintain datasets with rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access - self-service provisioning, entitlement workflows, one-click integration with SageMaker, Databricks, and EMR. Network effects: Analyze usage trends to improve data quality, discovery and relevancy across persona groups Collaborate with Engineering, Design & Data Science Work with UX designers and researchers on usability testing, rapid prototyping, and user validation. Write detailed PRDs and technical documentation that engineers and consumers can act on. Lead & Influence the team Influence cross-functional stakeholders - engineering, architecture, data science, governance, UX, and senior business leaders. Mentor and develop junior product managers. Required Skills 8+ years in technical product management delivering catalog, marketplace, or discovery platforms from ideation to production at scale. Deep UX & service design sensibility - passion to build clear, intuitive and scalable UI experiences. Multi-channel product delivery - shipped across web UI, API, and/or conversational/agent-based interfaces. Technical depth in data infrastructure - data catalogs, metadata management, governance frameworks, data quality tooling. Strong communication - translate technical complexity into clear narratives for engineers, designers, and executives. Prioritisation at scale - balance competing demands across a large stakeholder base by weighing business impact, user value, and technical feasibility. Preferred Experience in financial services or highly regulated industries . Built or scaled a data catalog, data marketplace, feature store, or developer portals (e.g., Kaggle Datasets, Unity Catalog, Collibra, Alation, Atlan). Understanding of agentic AI patterns - tool-use, RAG, function calling - and how marketplace APIs can be exposed to LLM-based agents. Experience with search relevance & recommendation systems - ranking algorithms, semantic search, personalisation. Hands-on with Snowflake, Databricks, Airflow, Kafka . Why Join Us Work on firm-wide platforms used by thousands of data scientists, ML engineers, and analysts across JPMC Shape the future of AI/ML and data infrastructure at one of the world's largest financial institutions About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
23/06/2026
Full time
Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Shift Day Job Description The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers and consumers discover, access, govern, and leverage data. As the Data Catalog Product Manager, you will play a pivotal role in building a unified, multi-channel data marketplace where thousands of firmwide datasets become easy to find, preview, and integrate across application and AI use cases. You will own the end-to-end vision, strategy, and execution - spanning a rich web UI, programmatic APIs, and future agentic integrations (Claude, Copilot, internal AI assistants) that meet consumers where they already work. We want someone who leads with problems, not solutions - who brings deep UX and service design expertise, has built catalog or marketplace products at scale, and can articulate how intelligent discovery evolves in an agentic AI world. What You'll Do Own the Catalog Vision & Strategy Define the multi-year product vision and roadmap for firmwide data discovery serving data scientists, ML engineers, analytics engineers, and increasingly business users. Establish north-star metrics tied to real impact: time-to-data, publishing velocity, discovery-to-integration conversion, repeat usage, and governance compliance . Own the full lifecycle from problem discovery delivery adoption iteration. Design a World-Class Discovery Experience Lead the UX and service design vision - intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations - inspired by the best consumer marketplace patterns (Kaggle, Spotify, App Store). Build for Multi-Channel: UI, API & Agents Architect an API-first platform powering a beautiful web UI today and programmatic access for code-first engineers. Meet consumers in their daily tools - notebooks, IDEs, orchestration platforms, chat interfaces, copilots - eliminating context-switching. Design composable, reusable solutions that integrate with the broader CDAO ecosystem. Champion Both Sides of the Marketplace Producers: Make it effortless to publish, document, version, and maintain datasets with rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access - self-service provisioning, entitlement workflows, one-click integration with SageMaker, Databricks, and EMR. Network effects: Analyze usage trends to improve data quality, discovery and relevancy across persona groups Collaborate with Engineering, Design & Data Science Work with UX designers and researchers on usability testing, rapid prototyping, and user validation. Write detailed PRDs and technical documentation that engineers and consumers can act on. Lead & Influence the team Influence cross-functional stakeholders - engineering, architecture, data science, governance, UX, and senior business leaders. Mentor and develop junior product managers. Required Skills 8+ years in technical product management delivering catalog, marketplace, or discovery platforms from ideation to production at scale. Deep UX & service design sensibility - passion to build clear, intuitive and scalable UI experiences. Multi-channel product delivery - shipped across web UI, API, and/or conversational/agent-based interfaces. Technical depth in data infrastructure - data catalogs, metadata management, governance frameworks, data quality tooling. Strong communication - translate technical complexity into clear narratives for engineers, designers, and executives. Prioritisation at scale - balance competing demands across a large stakeholder base by weighing business impact, user value, and technical feasibility. Preferred Experience in financial services or highly regulated industries . Built or scaled a data catalog, data marketplace, feature store, or developer portals (e.g., Kaggle Datasets, Unity Catalog, Collibra, Alation, Atlan). Understanding of agentic AI patterns - tool-use, RAG, function calling - and how marketplace APIs can be exposed to LLM-based agents. Experience with search relevance & recommendation systems - ranking algorithms, semantic search, personalisation. Hands-on with Snowflake, Databricks, Airflow, Kafka . Why Join Us Work on firm-wide platforms used by thousands of data scientists, ML engineers, and analysts across JPMC Shape the future of AI/ML and data infrastructure at one of the world's largest financial institutions About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Business Analyst - Basel III Endgame / SA CCR page is loaded Business Analyst - Basel III Endgame / SA CCRremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We're helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we're developing strategies and implementing solutions that enable the transformative change they need to own their future. As a member of the Huron corporate team, you'll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron's collective strategies and enable real transformation to produce sustainable business results. Join our team and create your future. We are seeking a highly skilled Business Analyst with deep expertise in Basel III Endgame and SA CCR to support regulatory transformation across risk, capital and liquidity frameworks. You will analyse requirements, map data lineage, evaluate capital impacts and design robust regulatory workflows that withstand audit and supervisory scrutiny. This role requires strong analytical depth, regulatory fluency, and the ability to convert technical models into actionable insights for risk, finance and senior leadership. Your Role: A Regulatory Analyst Advancing SA CCR Transformation Interpret Basel III Endgame & SA CCR requirements , translating RC, PFE, multipliers and EAD rules into structured business and functional requirements. Link capital outcomes to financial metrics , connecting RWA changes to ROE, liquidity usage and CFO level performance indicators, including capital release quantification. Perform in depth data analysis , mapping data lineage, identifying golden sources and assessing data completeness across OTC derivatives, SFTs, collateral and market data feeds. Design compliant and repeatable workflows , establishing traceable processes with embedded governance, auditability and regulatory control points. Conduct scenario analysis and stress testing , including CSA modifications, MPOR adjustments, volatility shocks and what if modelling for exposure and capital sensitivity. Assess SA CCR interaction with liquidity , analysing how derivatives exposures drive collateral, funding, LCR consumption and liquidity capital interdependencies. Apply AI enabled regulatory interpretation , using NLP/LLM tools to parse regulatory text, generate requirement traceability matrices and highlight rule deltas between CEM and SA CCR. Identify data quality gaps via ML assisted techniques , detecting missing or inconsistent attributes (netting, CSA, MPOR, collateral), and uncovering capital leakage caused by poor mappings. Support AI accelerated data discovery , applying pattern detection and profiling to reconcile capital efficiency with liquidity resilience. Collaborate with stakeholders , engaging Risk, Treasury, CRO functions, Risk IT and trading teams to communicate findings, resolve issues and shape regulatory solutions. The Profile We're Looking For: A Regulatory Minded Business Analyst Strong regulatory expertise , with hands on experience interpreting Basel III Endgame, SA CCR exposure methodology and regulatory reporting formats (e.g., COREP, FR Y 14/Q). Capital optimisation knowledge , including how RWA changes impact ROE, balance sheet usage, liquidity consumption and senior leadership metrics. Advanced data analysis capability , with experience in lineage mapping, golden source assessment and evaluating data quality across derivatives, SFTs and collateral. Process design & governance experience , capable of defining controlled, auditable and regulator aligned workflows across risk and capital functions. Stakeholder management skills , with the ability to translate technical content into business impacts for CRO, Treasury, Finance, Risk IT and Front Office audiences. Scenario & stress testing familiarity , including modelling CSA changes, MPOR scenarios, sensitivity analysis and exposure recalculation effects. AI assisted regulatory analysis experience , including NLP/LLM tools for requirement mapping, automated RTMs and interpretation comparisons. Data quality diagnostics using ML , able to identify hidden inconsistencies and capital inefficiencies using advanced pattern detection. Good to have: familiarity with Databricks Data Quality frameworks, including AI based pattern identification. Professional characteristics: analytical, structured, curious and able to operate independently in fast paced regulatory programmes. Equal Opportunity & Compliance Huron is an equal opportunity employer. We are committed to creating an inclusive and diverse workplace. All employment decisions are made without regard to race, colour, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or any other legally protected status. Position Level Senior Associate Country United KingdomAt Huron, we're redefining what a consulting organization can be. We go beyond advice to deliver results that last. We inherit our client's challenges as if they were our own. We help them transform for the future. We advocate. We make a difference. And we intelligently, passionately, relentlessly do great work together. Whether you have years of experience or come right out of college, we invite you to explore our many opportunities. Find out how you can use your talents and develop your skills to make an impact immediately. Learn about how our culture and values provide you with the kind of environment that invites new ideas and innovation. Come see how we collaborate with each other in a culture of learning, coaching, diversity and inclusion. And hear about our unwavering commitment to make a difference in partnership with our clients, shareholders, communities and colleagues. Huron Consulting Group offers a competitive compensation and benefits package including medical, dental, and vision coverage to employees and dependents; a 401(k) plan with a generous employer match; an employee stock purchase plan; a generous Paid Time Off policy; and paid parental leave and adoption assistance. Our Wellness Program supports employee total well-being by providing free annual health screenings and coaching, bank at work, and on-site workshops, as well as ongoing programs recognizing major events in the lives of our employees throughout the year. All benefits and programs are subject to applicable eligibility requirements. Huron is fully committed to providing equal employment opportunity to job applicants and employees in recruitment, hiring, employment, compensation, benefits, promotions, transfers, training, and all other terms and conditions of employment. Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by laws or regulations in the locations where we do business. We endeavor to maintain a drug-free workplace.
22/06/2026
Full time
Business Analyst - Basel III Endgame / SA CCR page is loaded Business Analyst - Basel III Endgame / SA CCRremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We're helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we're developing strategies and implementing solutions that enable the transformative change they need to own their future. As a member of the Huron corporate team, you'll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron's collective strategies and enable real transformation to produce sustainable business results. Join our team and create your future. We are seeking a highly skilled Business Analyst with deep expertise in Basel III Endgame and SA CCR to support regulatory transformation across risk, capital and liquidity frameworks. You will analyse requirements, map data lineage, evaluate capital impacts and design robust regulatory workflows that withstand audit and supervisory scrutiny. This role requires strong analytical depth, regulatory fluency, and the ability to convert technical models into actionable insights for risk, finance and senior leadership. Your Role: A Regulatory Analyst Advancing SA CCR Transformation Interpret Basel III Endgame & SA CCR requirements , translating RC, PFE, multipliers and EAD rules into structured business and functional requirements. Link capital outcomes to financial metrics , connecting RWA changes to ROE, liquidity usage and CFO level performance indicators, including capital release quantification. Perform in depth data analysis , mapping data lineage, identifying golden sources and assessing data completeness across OTC derivatives, SFTs, collateral and market data feeds. Design compliant and repeatable workflows , establishing traceable processes with embedded governance, auditability and regulatory control points. Conduct scenario analysis and stress testing , including CSA modifications, MPOR adjustments, volatility shocks and what if modelling for exposure and capital sensitivity. Assess SA CCR interaction with liquidity , analysing how derivatives exposures drive collateral, funding, LCR consumption and liquidity capital interdependencies. Apply AI enabled regulatory interpretation , using NLP/LLM tools to parse regulatory text, generate requirement traceability matrices and highlight rule deltas between CEM and SA CCR. Identify data quality gaps via ML assisted techniques , detecting missing or inconsistent attributes (netting, CSA, MPOR, collateral), and uncovering capital leakage caused by poor mappings. Support AI accelerated data discovery , applying pattern detection and profiling to reconcile capital efficiency with liquidity resilience. Collaborate with stakeholders , engaging Risk, Treasury, CRO functions, Risk IT and trading teams to communicate findings, resolve issues and shape regulatory solutions. The Profile We're Looking For: A Regulatory Minded Business Analyst Strong regulatory expertise , with hands on experience interpreting Basel III Endgame, SA CCR exposure methodology and regulatory reporting formats (e.g., COREP, FR Y 14/Q). Capital optimisation knowledge , including how RWA changes impact ROE, balance sheet usage, liquidity consumption and senior leadership metrics. Advanced data analysis capability , with experience in lineage mapping, golden source assessment and evaluating data quality across derivatives, SFTs and collateral. Process design & governance experience , capable of defining controlled, auditable and regulator aligned workflows across risk and capital functions. Stakeholder management skills , with the ability to translate technical content into business impacts for CRO, Treasury, Finance, Risk IT and Front Office audiences. Scenario & stress testing familiarity , including modelling CSA changes, MPOR scenarios, sensitivity analysis and exposure recalculation effects. AI assisted regulatory analysis experience , including NLP/LLM tools for requirement mapping, automated RTMs and interpretation comparisons. Data quality diagnostics using ML , able to identify hidden inconsistencies and capital inefficiencies using advanced pattern detection. Good to have: familiarity with Databricks Data Quality frameworks, including AI based pattern identification. Professional characteristics: analytical, structured, curious and able to operate independently in fast paced regulatory programmes. Equal Opportunity & Compliance Huron is an equal opportunity employer. We are committed to creating an inclusive and diverse workplace. All employment decisions are made without regard to race, colour, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or any other legally protected status. Position Level Senior Associate Country United KingdomAt Huron, we're redefining what a consulting organization can be. We go beyond advice to deliver results that last. We inherit our client's challenges as if they were our own. We help them transform for the future. We advocate. We make a difference. And we intelligently, passionately, relentlessly do great work together. Whether you have years of experience or come right out of college, we invite you to explore our many opportunities. Find out how you can use your talents and develop your skills to make an impact immediately. Learn about how our culture and values provide you with the kind of environment that invites new ideas and innovation. Come see how we collaborate with each other in a culture of learning, coaching, diversity and inclusion. And hear about our unwavering commitment to make a difference in partnership with our clients, shareholders, communities and colleagues. Huron Consulting Group offers a competitive compensation and benefits package including medical, dental, and vision coverage to employees and dependents; a 401(k) plan with a generous employer match; an employee stock purchase plan; a generous Paid Time Off policy; and paid parental leave and adoption assistance. Our Wellness Program supports employee total well-being by providing free annual health screenings and coaching, bank at work, and on-site workshops, as well as ongoing programs recognizing major events in the lives of our employees throughout the year. All benefits and programs are subject to applicable eligibility requirements. Huron is fully committed to providing equal employment opportunity to job applicants and employees in recruitment, hiring, employment, compensation, benefits, promotions, transfers, training, and all other terms and conditions of employment. Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by laws or regulations in the locations where we do business. We endeavor to maintain a drug-free workplace.
