776 to 800 of 3,370 Analytics Jobs in the UK

The Data Engineer/BI Developer will play a pivotal role in designing, developing, and maintaining data pipelines and systems to support analytics needs within the industrial and manufacturing sector. You will also create a number of bespoke reports using Power BI. Client Details The client is a small to medium manufacturer based in Manchester. Description Design, build, and optimise … scalable data pipelines to support analytics operations. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Maintain and improve existing data systems and infrastructure. Ensure data quality, consistency, and security across the organisation. Implement ETL processes to integrate data from multiple sources. Develop and maintain documentation for data engineering processes and workflows. Monitor system performance and troubleshoot … issues as they arise. Provide technical support to the analytics team for data-related tasks. Profile A successful Data Engineer should have: A strong understanding of data engineering principles and best practices. Strong Power BI skills Proficiency in programming languages such as Python, SQL, or equivalent. Experience with cloud platforms and data storage solutions. Knowledge of ETL tools and processes. More ❯

to centralise and own their data strategy. Following significant investment in new systems and data cleansing, this is a newly created role where you’ll shape reporting, governance, and analytics from the ground up. ROLE AND RESPONSIBILITIES Own and centralise data management across the organisation Lead on GDPR compliance, governance, and best practices Build BI reporting dashboards (Power BI or … similar) to track KPIs and business performance Deliver customer and membership analytics to inform retention and engagement strategies Support ongoing CRM and data transformation projects Act as the go-to person for data across business and technical teams SKILLS AND EXPERIENCE (Required) 3–4 years’ experience in analytics, BI, or data management Strong SQL and experience with Power BI (or More ❯

to centralise and own their data strategy. Following significant investment in new systems and data cleansing, this is a newly created role where you’ll shape reporting, governance, and analytics from the ground up. ROLE AND RESPONSIBILITIES Own and centralise data management across the organisation Lead on GDPR compliance, governance, and best practices Build BI reporting dashboards (Power BI or … similar) to track KPIs and business performance Deliver customer and membership analytics to inform retention and engagement strategies Support ongoing CRM and data transformation projects Act as the go-to person for data across business and technical teams SKILLS AND EXPERIENCE (Required) 3–4 years’ experience in analytics, BI, or data management Strong SQL and experience with Power BI (or More ❯

to centralise and own their data strategy. Following significant investment in new systems and data cleansing, this is a newly created role where you’ll shape reporting, governance, and analytics from the ground up. ROLE AND RESPONSIBILITIES Own and centralise data management across the organisation Lead on GDPR compliance, governance, and best practices Build BI reporting dashboards (Power BI or … similar) to track KPIs and business performance Deliver customer and membership analytics to inform retention and engagement strategies Support ongoing CRM and data transformation projects Act as the go-to person for data across business and technical teams SKILLS AND EXPERIENCE (Required) 3–4 years’ experience in analytics, BI, or data management Strong SQL and experience with Power BI (or More ❯

to centralise and own their data strategy. Following significant investment in new systems and data cleansing, this is a newly created role where you’ll shape reporting, governance, and analytics from the ground up. ROLE AND RESPONSIBILITIES Own and centralise data management across the organisation Lead on GDPR compliance, governance, and best practices Build BI reporting dashboards (Power BI or … similar) to track KPIs and business performance Deliver customer and membership analytics to inform retention and engagement strategies Support ongoing CRM and data transformation projects Act as the go-to person for data across business and technical teams SKILLS AND EXPERIENCE (Required) 3–4 years’ experience in analytics, BI, or data management Strong SQL and experience with Power BI (or More ❯

to centralise and own their data strategy. Following significant investment in new systems and data cleansing, this is a newly created role where you’ll shape reporting, governance, and analytics from the ground up. ROLE AND RESPONSIBILITIES Own and centralise data management across the organisation Lead on GDPR compliance, governance, and best practices Build BI reporting dashboards (Power BI or … similar) to track KPIs and business performance Deliver customer and membership analytics to inform retention and engagement strategies Support ongoing CRM and data transformation projects Act as the go-to person for data across business and technical teams SKILLS AND EXPERIENCE (Required) 3–4 years’ experience in analytics, BI, or data management Strong SQL and experience with Power BI (or More ❯

Data Analyst required remote working Inside Ir35 - Umbrella/PAYE only 3 month contract Individual accountabilities People Analytics: - Help the people function and business to understand and formulate their people reporting and analytics needs that enable them to draw the right business conclusions and take appropriate business actions around budgeting, workforce planning, recruitment (communications), onboarding, learning, development, performance management, compensation … management, succession, retention, etc. - Advise the business on what would be the best report and approach to support their reporting and analytics needs. - Develop people metric specific reports and dashboards for the people function and ELT/senioir leaders in a visually appealing way - Identify, analyze, and interpret trends or patterns in complex data sets and communicate these recommendations to … the stakeholders in a business focused way - Provide ongoing people reporting and analytics support services and help manage ad hoc reporting requests coming from the business for executing analysis - Supporting with the monthly Crunchr data load, reviewing data quality of files - Identifying data quality issues in Crunchr and working with Data Transformation Lead to improve and enhance data - Develop people More ❯

immerse themselves in London's dynamic tech environment. About Our Client: Our client is a rapidly growing technology startup based in Shoreditch, London. Specializing in leveraging big data and analytics to drive innovation across various industries, they are seeking a passionate and driven Graduate Data Analyst to join their team. This role offers an unparalleled opportunity to contribute to cutting … instrumental in analyzing diverse datasets to uncover insights, trends, and patterns that inform strategic decisions. This role is designed for ambitious graduates aiming to kickstart their careers in data analytics within a fast-paced and innovative tech environment. Responsibilities: Collaborate with cross-functional teams to define data collection requirements and analytics needs. Utilize data analysis tools and techniques to analyze … large datasets, identifying actionable insights. Present findings to stakeholders through clear, concise reports and visualizations. Participate in the development of analytics models to predict trends and behaviors. Engage in continuous learning to stay abreast of the latest analytics technologies and methodologies. Qualifications: Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field, with a strong academic record. Demonstrated More ❯

Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling … partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). … Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal More ❯

Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling … partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). … Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal More ❯

office Up to £50,000 A UK-leading hospitality company is seeking a Digital Analyst to join the team! THE ROLE This role will join the growing Digital & Data Analytics team working across the website and app, carrying out reporting and providing teams with deep dive analysis. You will work across a number of websites to analyze user behaviour, usage … patterns, and conversion rates to identify key areas for improvements, developing reports to communicate findings and insights to stakeholders across the business. YOUR SKILLS AND EXPERIENCE Strong Google Analytics and SQL experience Experienced in data visualization tools such as Power BI, Looker, etc. Excellent stakeholder management skills BENEFITS Up to £50,000 Opportunity to grow and develop your career HOW More ❯

Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling … partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. Mentor and guide junior data scientists, establishing best practices and scalable workflows. Help grow and shape the data science team … warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal More ❯

integration design across HR/Payroll estates , governance expertise (data quality, security/privacy, compliance), and a proven track record delivering migration, cutover, and decommissioning. Someone who can bring analytics visualisation (Power BI/Tableau) and semantic modelling, working familiarity with Workday, SAP SuccessFactors, and Oracle HCM, and strong stakeholder management with high-grade documentation and decision papers. Candidates who … integration landscape and data governance that underpin HR/Payroll transformation and agentic AI. Set standards, industrialise patterns, and make pipelines trustworthy, observable, and compliant so AI agents and analytics deliver value rather than noise. Responsibilities: Design the logical integration landscape (APIs, ETL, events, iPaaS). Define data contracts , lineage, and data quality SLAs ; implement RBAC and security controls. Lead … data architecture and integration design across HR/Payroll estates. Governance expertise: data quality, security/privacy, and compliance. Proven delivery across migration, cutover, and decommissioning . Experience with analytics visualisation (Power BI/Tableau) and semantic modelling. Familiarity with Workday/SAP SuccessFactors/Oracle HCM ecosystems. Strong stakeholder management; clear documentation and decision papers. Nice to have iPaaS More ❯

integration design across HR/Payroll estates , governance expertise (data quality, security/privacy, compliance), and a proven track record delivering migration, cutover, and decommissioning. Someone who can bring analytics visualisation (Power BI/Tableau) and semantic modelling, working familiarity with Workday, SAP SuccessFactors, and Oracle HCM, and strong stakeholder management with high-grade documentation and decision papers. Candidates who … integration landscape and data governance that underpin HR/Payroll transformation and agentic AI. Set standards, industrialise patterns, and make pipelines trustworthy, observable, and compliant so AI agents and analytics deliver value rather than noise. Responsibilities: Design the logical integration landscape (APIs, ETL, events, iPaaS). Define data contracts , lineage, and data quality SLAs ; implement RBAC and security controls. Lead … data architecture and integration design across HR/Payroll estates. Governance expertise: data quality, security/privacy, and compliance. Proven delivery across migration, cutover, and decommissioning . Experience with analytics visualisation (Power BI/Tableau) and semantic modelling. Familiarity with Workday/SAP SuccessFactors/Oracle HCM ecosystems. Strong stakeholder management; clear documentation and decision papers. Nice to have iPaaS More ❯

integration design across HR/Payroll estates , governance expertise (data quality, security/privacy, compliance), and a proven track record delivering migration, cutover, and decommissioning. Someone who can bring analytics visualisation (Power BI/Tableau) and semantic modelling, working familiarity with Workday, SAP SuccessFactors, and Oracle HCM, and strong stakeholder management with high-grade documentation and decision papers. Candidates who … integration landscape and data governance that underpin HR/Payroll transformation and agentic AI. Set standards, industrialise patterns, and make pipelines trustworthy, observable, and compliant so AI agents and analytics deliver value rather than noise. Responsibilities: Design the logical integration landscape (APIs, ETL, events, iPaaS). Define data contracts , lineage, and data quality SLAs ; implement RBAC and security controls. Lead … data architecture and integration design across HR/Payroll estates. Governance expertise: data quality, security/privacy, and compliance. Proven delivery across migration, cutover, and decommissioning . Experience with analytics visualisation (Power BI/Tableau) and semantic modelling. Familiarity with Workday/SAP SuccessFactors/Oracle HCM ecosystems. Strong stakeholder management; clear documentation and decision papers. Nice to have iPaaS More ❯

integration design across HR/Payroll estates , governance expertise (data quality, security/privacy, compliance), and a proven track record delivering migration, cutover, and decommissioning. Someone who can bring analytics visualisation (Power BI/Tableau) and semantic modelling, working familiarity with Workday, SAP SuccessFactors, and Oracle HCM, and strong stakeholder management with high-grade documentation and decision papers. Candidates who … integration landscape and data governance that underpin HR/Payroll transformation and agentic AI. Set standards, industrialise patterns, and make pipelines trustworthy, observable, and compliant so AI agents and analytics deliver value rather than noise. Responsibilities: Design the logical integration landscape (APIs, ETL, events, iPaaS). Define data contracts , lineage, and data quality SLAs ; implement RBAC and security controls. Lead … data architecture and integration design across HR/Payroll estates. Governance expertise: data quality, security/privacy, and compliance. Proven delivery across migration, cutover, and decommissioning . Experience with analytics visualisation (Power BI/Tableau) and semantic modelling. Familiarity with Workday/SAP SuccessFactors/Oracle HCM ecosystems. Strong stakeholder management; clear documentation and decision papers. Nice to have iPaaS More ❯

integration design across HR/Payroll estates , governance expertise (data quality, security/privacy, compliance), and a proven track record delivering migration, cutover, and decommissioning. Someone who can bring analytics visualisation (Power BI/Tableau) and semantic modelling, working familiarity with Workday, SAP SuccessFactors, and Oracle HCM, and strong stakeholder management with high-grade documentation and decision papers. Candidates who … integration landscape and data governance that underpin HR/Payroll transformation and agentic AI. Set standards, industrialise patterns, and make pipelines trustworthy, observable, and compliant so AI agents and analytics deliver value rather than noise. Responsibilities: Design the logical integration landscape (APIs, ETL, events, iPaaS). Define data contracts , lineage, and data quality SLAs ; implement RBAC and security controls. Lead … data architecture and integration design across HR/Payroll estates. Governance expertise: data quality, security/privacy, and compliance. Proven delivery across migration, cutover, and decommissioning . Experience with analytics visualisation (Power BI/Tableau) and semantic modelling. Familiarity with Workday/SAP SuccessFactors/Oracle HCM ecosystems. Strong stakeholder management; clear documentation and decision papers. Nice to have iPaaS More ❯

the heart of how the company operates, shaping decisions on customer growth, engagement, and overall performance. The Role With growth accelerating, the business is establishing its first in-house analytics capability. This role will be the go-to for data insights, reporting, and strategy – helping senior stakeholders understand performance and identify opportunities for growth. You’ll work directly with leaders … decision-making at the highest level. Alongside building dashboards and reports, you’ll also take ownership of data priorities, support urgent requests, and help set the roadmap for how analytics adds value across the business. Key Responsibilities Deliver actionable insights to stakeholders across Marketing, Product and Technology Develop and maintain dashboards in Looker Studio, ensuring reporting is timely and accurate … Prioritise data requests and provide clear, commercially focused analysis Conduct data audits and contribute to a longer-term analytics strategy Translate complex data into clear, business-relevant insights What You'll Bring Strong SQL skills, Looker Studio, Python and BigQuery Proven ability to turn data into insights that drive business outcomes Commercially minded, with experience influencing marketing, product, or commercial More ❯

forefront of digital products and services, with a mission-driven culture and an expanding data function. The company is entering an exciting scale-up phase and investing heavily in analytics to improve customer experience, product strategy, and commercial performance. You'll join a collaborative team of data professionals who are shaping how the business uses data to drive decision-making. … The Role As a Product Data Scientist , you'll sit at the heart of the product and analytics functions, using data to influence strategy and deliver actionable insights. This is a hands-on role, working closely with product managers, engineers, and senior stakeholders to uncover user behaviour, optimise features, and support decision-making through rigorous analysis. You'll also be … tools, empowering colleagues with accessible insights. Apply data storytelling techniques to communicate complex analysis to both technical and non-technical audiences. Stay up to date with best practices in analytics, experimentation, and product data science. Skills & Experience Essential: Strong SQL skills and experience working with relational databases. Hands-on experience with BI/visualisation tools (e.g. Looker, Tableau, Lightdash). More ❯

KPIs and delivering cutting-edge BI solutions that not only provide insight but tell a compelling story. You'll be hands-on with leading BI tools, databases, and digital analytics platforms, shaping solutions that make a genuine impact. 💡 What You'll Be Doing Designing and delivering interactive BI reporting solutions using tools like Tableau or Power BI Working with clients … demoing BI solutions confidently to clients ✅ What We're Looking For Strong experience with Tableau, Power BI, or similar BI platforms Excellent knowledge of SQL Server, databases, and digital analytics tools Ability to pull actionable insights from data and communicate them clearly Consultancy mindset - able to identify core KPIs and align BI solutions to business needs Passion for data visualisation … facing and within teams Problem-solving mindset and a practical, results-focused approach ⭐ Desirable (Not Essential) Experience working with large data sets (tens of millions of records) Knowledge of analytics, modelling, or marketing data Degree in a numerate discipline Experience in ISO27001 environments Our client has a 2 stage interview process and for the right candidate they will interview this More ❯

Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into … in our knowledge sharing community • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production • Drive Firm … scale frameworks to accelerate the application of machine learning models across different areas of the business Required qualifications, capabilities, and skills • Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research More ❯

product improvement metrics, to guide product development and measure impact Monetization Insights : Evaluate paywall performance, pricing experiments, and offer strategies to maximize LTV and ROI on ad spend. Growth Analytics : Map and analyze full user funnels — from acquisition to conversion, subscription, retention, and churn — identifying key drop-offs and opportunities. Marketing Effectiveness : Partner with UA and performance marketing teams to … and UA metrics (CAC, ROAS, LTV, ARPU) and experience linking marketing data with product behavior. Proven track record designing and analyzing growth and monetization experiments . Experience with product analytics platforms Excellent problem-solving abilities, attention to detail, and hypothesis-driven mindset. Strong communication and storytelling skills — able to distill complex findings into clear recommendations for both technical and non … models . Basic proficiency in Python for statistical or predictive modeling. Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok). Background in consumer behavior analytics and retention modeling. Knowledge of advanced methods for monetization analytics (churn models, survival analysis, predictive LTV). Benefits Be the first dedicated product analyst at 44pixels — set the foundations for More ❯

product improvement metrics, to guide product development and measure impact Monetization Insights : Evaluate paywall performance, pricing experiments, and offer strategies to maximize LTV and ROI on ad spend. Growth Analytics : Map and analyze full user funnels — from acquisition to conversion, subscription, retention, and churn — identifying key drop-offs and opportunities. Marketing Effectiveness : Partner with UA and performance marketing teams to … and UA metrics (CAC, ROAS, LTV, ARPU) and experience linking marketing data with product behavior. Proven track record designing and analyzing growth and monetization experiments . Experience with product analytics platforms Excellent problem-solving abilities, attention to detail, and hypothesis-driven mindset. Strong communication and storytelling skills — able to distill complex findings into clear recommendations for both technical and non … models . Basic proficiency in Python for statistical or predictive modeling. Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok). Background in consumer behavior analytics and retention modeling. Knowledge of advanced methods for monetization analytics (churn models, survival analysis, predictive LTV). Benefits Be the first dedicated product analyst at 44pixels — set the foundations for More ❯

product improvement metrics, to guide product development and measure impact Monetization Insights : Evaluate paywall performance, pricing experiments, and offer strategies to maximize LTV and ROI on ad spend. Growth Analytics : Map and analyze full user funnels — from acquisition to conversion, subscription, retention, and churn — identifying key drop-offs and opportunities. Marketing Effectiveness : Partner with UA and performance marketing teams to … and UA metrics (CAC, ROAS, LTV, ARPU) and experience linking marketing data with product behavior. Proven track record designing and analyzing growth and monetization experiments . Experience with product analytics platforms Excellent problem-solving abilities, attention to detail, and hypothesis-driven mindset. Strong communication and storytelling skills — able to distill complex findings into clear recommendations for both technical and non … models . Basic proficiency in Python for statistical or predictive modeling. Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok). Background in consumer behavior analytics and retention modeling. Knowledge of advanced methods for monetization analytics (churn models, survival analysis, predictive LTV). Benefits Be the first dedicated product analyst at 44pixels — set the foundations for More ❯

product improvement metrics, to guide product development and measure impact Monetization Insights : Evaluate paywall performance, pricing experiments, and offer strategies to maximize LTV and ROI on ad spend. Growth Analytics : Map and analyze full user funnels — from acquisition to conversion, subscription, retention, and churn — identifying key drop-offs and opportunities. Marketing Effectiveness : Partner with UA and performance marketing teams to … and UA metrics (CAC, ROAS, LTV, ARPU) and experience linking marketing data with product behavior. Proven track record designing and analyzing growth and monetization experiments . Experience with product analytics platforms Excellent problem-solving abilities, attention to detail, and hypothesis-driven mindset. Strong communication and storytelling skills — able to distill complex findings into clear recommendations for both technical and non … models . Basic proficiency in Python for statistical or predictive modeling. Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok). Background in consumer behavior analytics and retention modeling. Knowledge of advanced methods for monetization analytics (churn models, survival analysis, predictive LTV). Benefits Be the first dedicated product analyst at 44pixels — set the foundations for More ❯