1 to 25 of 6,687 Analytics Jobs in the UK

telemetry data into our Business Intelligence ensure the organisation adheres to the key principles of information management, particularly Accountability, Integrity, Compliance and Usability. This role involves leading data governance, analytics, and data management initiatives, ensuring that data is effectively utilized to drive strategic decision-making across the organisation. The ideal candidate will possess strong leadership skills, a deep understanding of … frameworks, policies, and standards to ensure data quality, security, and compliance with regulations. Develop and maintain an Enterprise Data Dictionary. Ensure adherence to the aforementioned frameworks, policies and standards. Analytics Leadership : Lead a team of data analysts and engineers to develop platform blueprints and data models for advanced analytics solutions that provide actionable insights and drive business performance. Collaboration : Work … data management practices, including enterprise level data architecture, data integration, data warehousing, and data lifecycle management. Innovation : Stay abreast of industry trends and emerging technologies related to data and analytics, and drive innovation within the organisation making use of approaches such as proof of concept to demonstrate value. Stakeholder Engagement : Communicate data strategy and insights to senior leadership and stakeholders More ❯

This is a unique opportunity for a motivated Consultant/Senior Consultant to join the fast-growing Data Analytics practice of Teneo, the global CEO advisory firm. Our team provides data analytics and modelling services across the full breadth of Teneo's service offering; helping FTSE 100 and Fortune 500 firms, key public-sector organisations, and leading private equity houses … solve some of their most complex and challenging business problems. The successful candidate will be a driven data analytics professional who is seeking to join an exciting new team which offers unparalleled opportunities for personal growth and promotion. They should exhibit an entrepreneurial spirit with a genuine desire to provide quality, independent advice and insight to Teneo's blue chip … client base. Key Responsibilities As a Data Analytics Consultant/Senior Consultant, you will have the opportunity to: Solve complex client problems using a variety of data analytics technologies and techniques including but not limited to: data processing and engineering, statistical analysis, data visualisation, machine learning, simulation and optimisation techniques Develop solid and insightful analytics products using data engineering and More ❯

telemetry data into our Business Intelligence ensure the organisation adheres to the key principles of information management, particularly Accountability, Integrity, Compliance and Usability. This role involves leading data governance, analytics, and data management initiatives, ensuring that data is effectively utilized to drive strategic decision-making across the organisation. The ideal candidate will possess strong leadership skills, a deep understanding of … frameworks, policies, and standards to ensure data quality, security, and compliance with regulations. Develop and maintain an Enterprise Data Dictionary. Ensure adherence to the aforementioned frameworks, policies and standards. Analytics Leadership : Lead a team of data analysts and engineers to develop platform blueprints and data models for advanced analytics solutions that provide actionable insights and drive business performance. Collaboration : Work … data management practices, including enterprise level data architecture, data integration, data warehousing, and data lifecycle management. Innovation : Stay abreast of industry trends and emerging technologies related to data and analytics, and drive innovation within the organisation making use of approaches such as proof of concept to demonstrate value. Stakeholder Engagement : Communicate data strategy and insights to senior leadership and stakeholders More ❯

telemetry data into our Business Intelligence ensure the organisation adheres to the key principles of information management, particularly Accountability, Integrity, Compliance and Usability. This role involves leading data governance, analytics, and data management initiatives, ensuring that data is effectively utilized to drive strategic decision-making across the organisation. The ideal candidate will possess strong leadership skills, a deep understanding of … frameworks, policies, and standards to ensure data quality, security, and compliance with regulations. Develop and maintain an Enterprise Data Dictionary. Ensure adherence to the aforementioned frameworks, policies and standards. Analytics Leadership : Lead a team of data analysts and engineers to develop platform blueprints and data models for advanced analytics solutions that provide actionable insights and drive business performance. Collaboration : Work … data management practices, including enterprise level data architecture, data integration, data warehousing, and data lifecycle management. Innovation : Stay abreast of industry trends and emerging technologies related to data and analytics, and drive innovation within the organisation making use of approaches such as proof of concept to demonstrate value. Stakeholder Engagement : Communicate data strategy and insights to senior leadership and stakeholders More ❯

telemetry data into our Business Intelligence ensure the organisation adheres to the key principles of information management, particularly Accountability, Integrity, Compliance and Usability. This role involves leading data governance, analytics, and data management initiatives, ensuring that data is effectively utilized to drive strategic decision-making across the organisation. The ideal candidate will possess strong leadership skills, a deep understanding of … frameworks, policies, and standards to ensure data quality, security, and compliance with regulations. Develop and maintain an Enterprise Data Dictionary. Ensure adherence to the aforementioned frameworks, policies and standards. Analytics Leadership : Lead a team of data analysts and engineers to develop platform blueprints and data models for advanced analytics solutions that provide actionable insights and drive business performance. Collaboration : Work … data management practices, including enterprise level data architecture, data integration, data warehousing, and data lifecycle management. Innovation : Stay abreast of industry trends and emerging technologies related to data and analytics, and drive innovation within the organisation making use of approaches such as proof of concept to demonstrate value. Stakeholder Engagement : Communicate data strategy and insights to senior leadership and stakeholders More ❯

telemetry data into our Business Intelligence ensure the organisation adheres to the key principles of information management, particularly Accountability, Integrity, Compliance and Usability. This role involves leading data governance, analytics, and data management initiatives, ensuring that data is effectively utilized to drive strategic decision-making across the organisation. The ideal candidate will possess strong leadership skills, a deep understanding of … frameworks, policies, and standards to ensure data quality, security, and compliance with regulations. Develop and maintain an Enterprise Data Dictionary. Ensure adherence to the aforementioned frameworks, policies and standards. Analytics Leadership : Lead a team of data analysts and engineers to develop platform blueprints and data models for advanced analytics solutions that provide actionable insights and drive business performance. Collaboration : Work … data management practices, including enterprise level data architecture, data integration, data warehousing, and data lifecycle management. Innovation : Stay abreast of industry trends and emerging technologies related to data and analytics, and drive innovation within the organisation making use of approaches such as proof of concept to demonstrate value. Stakeholder Engagement : Communicate data strategy and insights to senior leadership and stakeholders More ❯

telemetry data into our Business Intelligence ensure the organisation adheres to the key principles of information management, particularly Accountability, Integrity, Compliance and Usability. This role involves leading data governance, analytics, and data management initiatives, ensuring that data is effectively utilized to drive strategic decision-making across the organisation. The ideal candidate will possess strong leadership skills, a deep understanding of … frameworks, policies, and standards to ensure data quality, security, and compliance with regulations. Develop and maintain an Enterprise Data Dictionary. Ensure adherence to the aforementioned frameworks, policies and standards. Analytics Leadership : Lead a team of data analysts and engineers to develop platform blueprints and data models for advanced analytics solutions that provide actionable insights and drive business performance. Collaboration : Work … data management practices, including enterprise level data architecture, data integration, data warehousing, and data lifecycle management. Innovation : Stay abreast of industry trends and emerging technologies related to data and analytics, and drive innovation within the organisation making use of approaches such as proof of concept to demonstrate value. Stakeholder Engagement : Communicate data strategy and insights to senior leadership and stakeholders More ❯

Position: Analytics Engineer Location: London (hybrid 3 times a week)Department: ITType: 3 months rolling contractOutside IR35 The client is seeking an experienced Analytics Engineer to join its Data & Analytics team. The role focuses on building scalable data pipelines, transforming raw data into clean, reusable datasets, and enabling data-driven decision-making. Key Responsibilities Design and build data products, with … BI to enable data-driven decision-making Ensure data quality and accuracy by implementing data validation, monitoring, and error-handling processes. Requirements At least 8 years' experience in data analytics, data engineering, software engineering, or a similar role Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies. Strong ability More ❯

Position: Analytics Engineer Location: London (hybrid 3 times a week) Department: IT Type: 3 months rolling contract Outside IR35 The client is seeking an experienced Analytics Engineer to join its Data & Analytics team. The role focuses on building scalable data pipelines, transforming raw data into clean, reusable datasets, and enabling data-driven decision-making. Key Responsibilities Design and build data … BI to enable data-driven decision-making Ensure data quality and accuracy by implementing data validation, monitoring, and error-handling processes. Requirements At least 8 years' experience in data analytics, data engineering, software engineering, or a similar role Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies. Strong ability More ❯

and deploy predictive models using machine learning and statistical techniques. Translate business requirements into technical solutions and actionable insights. Collaborate with business stakeholders, data engineers, and analysts to support analytics initiatives. Create dashboards, reports, and visualizations to communicate insights to non-technical stakeholders. Ensure data quality, integrity, and security throughout the analytics lifecycle. Keep up-to-date with the latest … GCP) is a plus. Strong problem-solving, analytical, and communication skills. Preferred Qualifications MSc or PhD in Computer Science, Statistics, Mathematics, or a related field. Experience in finance, marketing analytics, or e-commerce. More ❯

Us My client is a dynamic and innovative team at the forefront of AI and cloud computing, delivering scalable, intelligent solutions that drive real-world impact. Their expertise spans analytics and AI services across sectors including finance, government, life sciences, private sector, and sport. As certified partners with leading cloud and analytics platforms, they maintain a vendor-neutral approach, focusing … on delivering high-quality analytics services. With a global presence and ambitious growth plans, they are expanding our team to support our strategic vision. The Role We are seeking an experienced and passionate Data Consultant with significant SAS project experience to join their team. The ideal candidate will have over 7 years of hands-on experience in data and analytics More ❯

Us My client is a dynamic and innovative team at the forefront of AI and cloud computing, delivering scalable, intelligent solutions that drive real-world impact. Their expertise spans analytics and AI services across sectors including finance, government, life sciences, private sector, and sport. As certified partners with leading cloud and analytics platforms, they maintain a vendor-neutral approach, focusing … on delivering high-quality analytics services. With a global presence and ambitious growth plans, they are expanding our team to support our strategic vision. The Role We are seeking an experienced and passionate Data Consultant with significant SAS project experience to join their team. The ideal candidate will have over 7 years of hands-on experience in data and analytics More ❯

analysis and modelling (mandatory) Data visualisation Power BI and/or Looker Studio for creating dynamic dashboards and reports in context of marketing KPIs (mandatory) Forecasting, modelling and predictive analytics (highly desirable) Predictive/statistical modelling Time series analysis Forecasting marketing metrics such as response, conversion and churn rate using historical campaign data Data-driven business casing and budgeting Marketing … stakeholders Ability to manage multiple projects and comfortable with context switching Understand and deliver service to internal customers and external clients Experience Strong experience in a data analysis, marketing analytics, or performance measurement role, ideally in a marketing or digital agency (mandatory) Experience building forecasts and KPI frameworks specifically tied to marketing campaign performance (highly desirable) Experience setting up performance … tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or languages used More ❯

analysis and modelling (mandatory) Data visualisation Power BI and/or Looker Studio for creating dynamic dashboards and reports in context of marketing KPIs (mandatory) Forecasting, modelling and predictive analytics (highly desirable) Predictive/statistical modelling Time series analysis Forecasting marketing metrics such as response, conversion and churn rate using historical campaign data Data-driven business casing and budgeting Marketing … stakeholders Ability to manage multiple projects and comfortable with context switching Understand and deliver service to internal customers and external clients Experience Strong experience in a data analysis, marketing analytics, or performance measurement role, ideally in a marketing or digital agency (mandatory) Experience building forecasts and KPI frameworks specifically tied to marketing campaign performance (highly desirable) Experience setting up performance … tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or languages used More ❯

analysis and modelling (mandatory) Data visualisation Power BI and/or Looker Studio for creating dynamic dashboards and reports in context of marketing KPIs (mandatory) Forecasting, modelling and predictive analytics (highly desirable) Predictive/statistical modelling Time series analysis Forecasting marketing metrics such as response, conversion and churn rate using historical campaign data Data-driven business casing and budgeting Marketing … stakeholders Ability to manage multiple projects and comfortable with context switching Understand and deliver service to internal customers and external clients Experience Strong experience in a data analysis, marketing analytics, or performance measurement role, ideally in a marketing or digital agency (mandatory) Experience building forecasts and KPI frameworks specifically tied to marketing campaign performance (highly desirable) Experience setting up performance … tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or languages used More ❯

analysis and modelling (mandatory) Data visualisation Power BI and/or Looker Studio for creating dynamic dashboards and reports in context of marketing KPIs (mandatory) Forecasting, modelling and predictive analytics (highly desirable) Predictive/statistical modelling Time series analysis Forecasting marketing metrics such as response, conversion and churn rate using historical campaign data Data-driven business casing and budgeting Marketing … stakeholders Ability to manage multiple projects and comfortable with context switching Understand and deliver service to internal customers and external clients Experience Strong experience in a data analysis, marketing analytics, or performance measurement role, ideally in a marketing or digital agency (mandatory) Experience building forecasts and KPI frameworks specifically tied to marketing campaign performance (highly desirable) Experience setting up performance … tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or languages used More ❯

analysis and modelling (mandatory) Data visualisation Power BI and/or Looker Studio for creating dynamic dashboards and reports in context of marketing KPIs (mandatory) Forecasting, modelling and predictive analytics (highly desirable) Predictive/statistical modelling Time series analysis Forecasting marketing metrics such as response, conversion and churn rate using historical campaign data Data-driven business casing and budgeting Marketing … stakeholders Ability to manage multiple projects and comfortable with context switching Understand and deliver service to internal customers and external clients Experience Strong experience in a data analysis, marketing analytics, or performance measurement role, ideally in a marketing or digital agency (mandatory) Experience building forecasts and KPI frameworks specifically tied to marketing campaign performance (highly desirable) Experience setting up performance … tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or languages used More ❯

to continuously strengthen defences. Engage with external partners, technology vendors, and industry peers to explore new detection techniques and system capabilities. Skills Strong background in Financial Crime or Fraud Analytics within a banking or financial services environment. Advanced SQL skills with proven ability to manage and analyse large-scale, complex datasets. Experience with database platforms such as SQL Server, Oracle … problem-solving skills, with high accuracy in data investigation and interpretation. Strong communication skills, capable of translating technical findings into actionable business insights. Qualifications Degree in Computer Science, Data Analytics, Mathematics MIS/CIS, AI, or Machine Learning, or equivalent experience. Recognised SQL/Database qualification (Microsoft, Oracle, or equivalent). Relevant certification in Financial Crime, Fraud, or Cybercrime is More ❯

of experience: 5+ years Role Overview We are looking for a hands-on Technical Data Business Analyst to support the delivery of data-centric initiatives within the Digital Trading Analytics (dTA) portfolio. This role is ideal for someone with a strong foundation in data analysis, data management, data quality, and stakeholder engagement—particularly in the context of trading, market data … and analytics platforms. You will work closely with data engineers, platform teams, and business users to define, test, and validate data solutions that support trading and analytics use cases. The role requires a strong understanding of data migration, reconciliation, and testing practices, as well as the ability to translate business needs into clear, testable data requirements. Key Responsibilities • Define and … document business and data requirements for analytics and reporting solutions. • Perform data profiling, gap analysis, and root cause investigations to ensure data quality and consistency. • Lead and support data migration projects, including mapping, validation, and reconciliation of large datasets across platforms. • Collaborate with engineering teams to validate data pipelines and transformations. • Design and execute test plans for data products, including More ❯

of experience: 5+ years Role Overview We are looking for a hands-on Technical Data Business Analyst to support the delivery of data-centric initiatives within the Digital Trading Analytics (dTA) portfolio. This role is ideal for someone with a strong foundation in data analysis, data management, data quality, and stakeholder engagement—particularly in the context of trading, market data … and analytics platforms. You will work closely with data engineers, platform teams, and business users to define, test, and validate data solutions that support trading and analytics use cases. The role requires a strong understanding of data migration, reconciliation, and testing practices, as well as the ability to translate business needs into clear, testable data requirements. Key Responsibilities • Define and … document business and data requirements for analytics and reporting solutions. • Perform data profiling, gap analysis, and root cause investigations to ensure data quality and consistency. • Lead and support data migration projects, including mapping, validation, and reconciliation of large datasets across platforms. • Collaborate with engineering teams to validate data pipelines and transformations. • Design and execute test plans for data products, including More ❯

of experience: 5+ years Role Overview We are looking for a hands-on Technical Data Business Analyst to support the delivery of data-centric initiatives within the Digital Trading Analytics (dTA) portfolio. This role is ideal for someone with a strong foundation in data analysis, data management, data quality, and stakeholder engagement—particularly in the context of trading, market data … and analytics platforms. You will work closely with data engineers, platform teams, and business users to define, test, and validate data solutions that support trading and analytics use cases. The role requires a strong understanding of data migration, reconciliation, and testing practices, as well as the ability to translate business needs into clear, testable data requirements. Key Responsibilities • Define and … document business and data requirements for analytics and reporting solutions. • Perform data profiling, gap analysis, and root cause investigations to ensure data quality and consistency. • Lead and support data migration projects, including mapping, validation, and reconciliation of large datasets across platforms. • Collaborate with engineering teams to validate data pipelines and transformations. • Design and execute test plans for data products, including More ❯

of experience: 5+ years Role Overview We are looking for a hands-on Technical Data Business Analyst to support the delivery of data-centric initiatives within the Digital Trading Analytics (dTA) portfolio. This role is ideal for someone with a strong foundation in data analysis, data management, data quality, and stakeholder engagement—particularly in the context of trading, market data … and analytics platforms. You will work closely with data engineers, platform teams, and business users to define, test, and validate data solutions that support trading and analytics use cases. The role requires a strong understanding of data migration, reconciliation, and testing practices, as well as the ability to translate business needs into clear, testable data requirements. Key Responsibilities • Define and … document business and data requirements for analytics and reporting solutions. • Perform data profiling, gap analysis, and root cause investigations to ensure data quality and consistency. • Lead and support data migration projects, including mapping, validation, and reconciliation of large datasets across platforms. • Collaborate with engineering teams to validate data pipelines and transformations. • Design and execute test plans for data products, including More ❯

of experience: 5+ years Role Overview We are looking for a hands-on Technical Data Business Analyst to support the delivery of data-centric initiatives within the Digital Trading Analytics (dTA) portfolio. This role is ideal for someone with a strong foundation in data analysis, data management, data quality, and stakeholder engagement—particularly in the context of trading, market data … and analytics platforms. You will work closely with data engineers, platform teams, and business users to define, test, and validate data solutions that support trading and analytics use cases. The role requires a strong understanding of data migration, reconciliation, and testing practices, as well as the ability to translate business needs into clear, testable data requirements. Key Responsibilities • Define and … document business and data requirements for analytics and reporting solutions. • Perform data profiling, gap analysis, and root cause investigations to ensure data quality and consistency. • Lead and support data migration projects, including mapping, validation, and reconciliation of large datasets across platforms. • Collaborate with engineering teams to validate data pipelines and transformations. • Design and execute test plans for data products, including More ❯

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Analytics Manager you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build … advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve, and maintain … customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise More ❯

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Analytics Manager you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build … advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve, and maintain … customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise More ❯