2,176 to 2,200 of 4,578 Analytics Jobs in the UK excluding London

Engineering Manager Analytics Engineering Reporting to: Head of Engineering Office Environment: Hybrid (3 days per week) Type: Full time, Permanent SC Company Join a forward-thinking organization at the forefront of data, analytics, and AI, supporting both private and public sector organizations across areas such as financial services, consumer brands, asset management, government, and technology. The company is committed to … using data to drive meaningful human and societal benefits, balancing innovation with tangible impact. Note: No company details provided. Role As an Engineering Manager, you will lead analytics engineering teams who design, build, and enhance essential data platforms and products. You will: Architect and optimize data pipelines and workflows using modern tools (e.g., dbt, Airflow, SQL, Python). Take ownership … of large-scale analytics platforms and data warehouse solutions (such as Snowflake, BigQuery, Redshift). Mentor and guide engineers across analytics and data engineering disciplines. Ensure solutions adhere to best practices for data governance, integrity, and scalability. Drive continuous innovation in data orchestration, transformation, and automation. Translate complex technical concepts for a wide range of stakeholders to drive measurable business More ❯

Engineering Manager – Analytics Engineering Reporting to: Head of Engineering Office Environment: Hybrid (3 days per week) Type: Full time, Permanent SC Company Join a forward-thinking organization at the forefront of data, analytics, and AI, supporting both private and public sector organizations across areas such as financial services, consumer brands, asset management, government, and technology. The company is committed to … using data to drive meaningful human and societal benefits, balancing innovation with tangible impact. Note: No company details provided. Role As an Engineering Manager, you will lead analytics engineering teams who design, build, and enhance essential data platforms and products. You will: Architect and optimize data pipelines and workflows using modern tools (e.g., dbt, Airflow, SQL, Python). Take ownership … of large-scale analytics platforms and data warehouse solutions (such as Snowflake, BigQuery, Redshift). Mentor and guide engineers across analytics and data engineering disciplines. Ensure solutions adhere to best practices for data governance, integrity, and scalability. Drive continuous innovation in data orchestration, transformation, and automation. Translate complex technical concepts for a wide range of stakeholders to drive measurable business More ❯

Data Scientist | AI & Advanced Analytics | Nottingham (Hybrid) Are you the right applicant for this opportunity Find out by reading through the role overview below. The Company An early-stage AI and analytics company building intelligent, explainable machine learning systems that help businesses in retail, healthcare, and mobility unlock the true value of their data. What will I be doing? You … ll be developing modular ML solutions that power real-world applications - from predictive analytics and pricing optimisation to scenario modelling. This is hands-on engineering work where you'll build systems that enhance human decision-making with high ownership and technical depth across the full development lifecycle. What we're looking for Strong Python programming skills and OOP fundamentals Experience More ❯

AI/Data Science Engineer | AI & Advanced Analytics | Nottingham (Hybrid) About Want to code for impact? This early-stage AI and analytics company is building intelligent systems that help businesses uncover the true value of their data - and they’re looking for engineers who thrive on solving complex problems and creating real-world change. Their team of researchers, engineers, and … designers is developing modular, explainable machine learning solutions that power next-generation retail and healthcare systems. From predictive analytics and pricing optimisation to scenario modelling, they’re using AI to make decision-making smarter, not replace it. 💡 Why join: Be part of a pioneering team at the intersection of AI research and real-world application Work on projects shaping the More ❯

AI/Data Science Engineer | AI & Advanced Analytics | Nottingham (Hybrid) About Want to code for impact? This early-stage AI and analytics company is building intelligent systems that help businesses uncover the true value of their data - and they’re looking for engineers who thrive on solving complex problems and creating real-world change. Their team of researchers, engineers, and … designers is developing modular, explainable machine learning solutions that power next-generation retail and healthcare systems. From predictive analytics and pricing optimisation to scenario modelling, they’re using AI to make decision-making smarter, not replace it. 💡 Why join: Be part of a pioneering team at the intersection of AI research and real-world application Work on projects shaping the More ❯

AI/Data Science Engineer | AI & Advanced Analytics | Nottingham (Hybrid) About Want to code for impact? This early-stage AI and analytics company is building intelligent systems that help businesses uncover the true value of their data - and they’re looking for engineers who thrive on solving complex problems and creating real-world change. Their team of researchers, engineers, and … designers is developing modular, explainable machine learning solutions that power next-generation retail and healthcare systems. From predictive analytics and pricing optimisation to scenario modelling, they’re using AI to make decision-making smarter, not replace it. 💡 Why join: Be part of a pioneering team at the intersection of AI research and real-world application Work on projects shaping the More ❯

This role sits within the Data Leadership Team and reports directly to the Head of Data. Youll play a key part in shaping and evolving the organisations event streaming analytics capability, ensuring there data ecosystem is future-proof, scalable, and impactful. Key Responsibilities Design and implement event-driven architectures to meet business needs Develop, deploy, and maintain scalable event streaming … systems (including stream analytics) Ensure compliance with security standards and regulations Collaborate with cross-functional teams to integrate event data into wider systems Monitor and optimise system performance (latency, throughput, resource utilisation) Troubleshoot issues and deliver solutions for high availability and reliability What Were Looking For Experience 4+ years in a senior technical role, ideally within data engineering AWS stack … S3, EMR, EC2, Kinesis, Firehose, Flink/MSF Python & SQL Security and risk management frameworks Excellent communication and collaboration skills Desirable Event streaming and event streaming analytics in real-world applications, or some exposure to Event streaming Architecture. Strong understanding of DevOps and CI/CD principles More ❯

This role sits within the Data Leadership Team and reports directly to the Head of Data. Youll play a key part in shaping and evolving the organisations event streaming analytics capability, ensuring there data ecosystem is future-proof, scalable, and impactful. Key Responsibilities Design and implement event-driven architectures to meet business needs Develop, deploy, and maintain scalable event streaming … systems (including stream analytics) Ensure compliance with security standards and regulations Collaborate with cross-functional teams to integrate event data into wider systems Monitor and optimise system performance (latency, throughput, resource utilisation) Troubleshoot issues and deliver solutions for high availability and reliability What Were Looking For Experience 4+ years in a senior technical role, ideally within data engineering AWS stack … S3, EMR, EC2, Kinesis, Firehose, Flink/MSF Python & SQL Security and risk management frameworks Excellent communication and collaboration skills Desirable Event streaming and event streaming analytics in real-world applications, or some exposure to Event streaming Architecture. Strong understanding of DevOps and CI/CD principles More ❯

sits within the Data Leadership Team and reports directly to the Head of Data. You'll play a key part in shaping and evolving the organisation's event streaming analytics capability, ensuring there data ecosystem is future-proof, scalable, and impactful. Key Responsibilities Design and implement event-driven architectures to meet business needs Develop, deploy, and maintain scalable event streaming … systems (including stream analytics) Ensure compliance with security standards and regulations Collaborate with cross-functional teams to integrate event data into wider systems Monitor and optimise system performance (latency, throughput, resource utilisation) Troubleshoot issues and deliver solutions for high availability and reliability What We're Looking For Experience 4+ years in a senior technical role, ideally within data engineering AWS … stack: S3, EMR, EC2, Kinesis, Firehose, Flink/MSF Python & SQL Security and risk management frameworks Excellent communication and collaboration skills Desirable Event streaming and event streaming analytics in real-world applications, or some exposure to Event streaming Architecture. Strong understanding of DevOps and CI/CD principles More ❯

sits within the Data Leadership Team and reports directly to the Head of Data. You’ll play a key part in shaping and evolving the organisation’s event streaming analytics capability, ensuring there data ecosystem is future-proof, scalable, and impactful. Key Responsibilities Design and implement event-driven architectures to meet business needs Develop, deploy, and maintain scalable event streaming … systems (including stream analytics) Ensure compliance with security standards and regulations Collaborate with cross-functional teams to integrate event data into wider systems Monitor and optimise system performance (latency, throughput, resource utilisation) Troubleshoot issues and deliver solutions for high availability and reliability What We’re Looking For Experience 4+ years in a senior technical role, ideally within data engineering AWS … stack: S3, EMR, EC2, Kinesis, Firehose, Flink/MSF Python & SQL Security and risk management frameworks Excellent communication and collaboration skills Desirable Event streaming and event streaming analytics in real-world applications, or some exposure to Event streaming Architecture. Strong understanding of DevOps and CI/CD principles More ❯

consistency across complex scientific and technical datasets. You'll work with both business and technical stakeholders to structure, enrich, and maintain high-value data assets—making them FAIR and analytics-ready. What you'll do Curate, organise and standardise data to enable interoperability and insight. Develop and maintain controlled vocabularies, taxonomies and ontologies. Assess data quality, perform profiling and validation … checks. Collaborate with scientists, domain experts and data specialists. Support analytics and reporting teams by providing curated datasets. What we're looking for Degree in Life Sciences, Data Science, Computer Science, or a related field. 2+ years' experience in data curation, data management or data governance. Working knowledge of data standards, models, ontologies and taxonomies. Experience with tools such as More ❯

/Monument), primarily remote. Rate: c. £350 per day outside IR35. Immediate start available. Global fast paced environment. You'll be responsible for producing high-impact reports, dashboards, and analytics that inform service reviews, incident trends, change success rates, SLA adherence, and control compliance. Working closely with Service Owners, IT Operations, Risk & Compliance, and senior stakeholders, you'll ensure data … Problem, and Request Fulfilment Monitor SLAs, KPIs, and OLAs to reflect service health and operational commitments Build dashboards and visualisations using tools like Power BI, Excel, and ServiceNow Performance Analytics Analyse service delivery trends to identify recurring issues and improvement opportunities Support service reviews and senior stakeholder meetings with actionable insights Ensure data accuracy and completeness within the ITSM platform … metrics tracking, and trend analysis Contribute to post-incident reviews, change reviews, and CSI initiatives What you'll bring 2–4 years' experience in ITSM reporting, operations, or service analytics Bachelor's degree in IT, Business Analytics, Computer Science, or related field Working knowledge of ITIL (Foundation certification preferred) Proficiency in ITSM reporting. Strong skills in Excel (pivot tables, lookups More ❯

office) £70,000-75,000 base + discretionary bonus + pension up to 12% A leading global online marketplace is seeking a Senior Customer Analyst to join its Customer Analytics function. The team focuses on understanding, optimising, and growing the customer base through data-led insights, storytelling, and experimentation. This role will play a key part in shaping acquisition, retention … and loyalty strategy, working cross-functionally with Marketing and Product teams to turn insight into commercial impact. Responsibilities include Owning customer analytics projects such as segmentation, churn modelling, LTV, and lifecycle optimisation Designing and analysing A/B and multivariate tests to shape acquisition and retention strategies Using SQL and dashboarding tools such as Tableau or Looker to communicate insight … other data-led B2C environments Ability to translate analytical outputs into strategic recommendations and tell clear data stories Experience designing or analysing A/B testing and customer lifecycle analytics Python skills for statistical modelling or automation are an advantage This role offers a hybrid setup (typically two days per week in the London office), a base salary of approximately More ❯

office) £70,000-75,000 base + discretionary bonus + pension up to 12% A leading global online marketplace is seeking a Senior Customer Analyst to join its Customer Analytics function. The team focuses on understanding, optimising, and growing the customer base through data-led insights, storytelling, and experimentation. This role will play a key part in shaping acquisition, retention … and loyalty strategy, working cross-functionally with Marketing and Product teams to turn insight into commercial impact. Responsibilities include Owning customer analytics projects such as segmentation, churn modelling, LTV, and lifecycle optimisation Designing and analysing A/B and multivariate tests to shape acquisition and retention strategies Using SQL and dashboarding tools such as Tableau or Looker to communicate insight … other data-led B2C environments Ability to translate analytical outputs into strategic recommendations and tell clear data stories Experience designing or analysing A/B testing and customer lifecycle analytics Python skills for statistical modelling or automation are an advantage This role offers a hybrid setup (typically two days per week in the London office), a base salary of approximately More ❯

Product Owner – Analytics £45,000–£60,000 (plus bonus) Location: London – 2 days per week in the office (Tuesday/Wednesday or Wednesday/Thursday), remote the rest About the Company Our client is a market leader in risk and credit analytics across the energy, commodities, and financial services sectors. Their technology helps global trading firms manage exposure, streamline reporting … and make smarter, data-driven decisions. As part of the growth of their Analytics product line, they’re hiring a Product Owner to help shape the next generation of risk and analytics tools used by major energy and commodities players worldwide. The Hiring Manager summed it up perfectly: “It’s a chance to build something rather than just chase tail … lifecycle — from requirement gathering and analysis to testing, release, and enhancement. What You’ll Do Work with clients and internal teams to gather and clarify requirements, shaping features for analytics and risk systems. Analyse and validate outputs from pricing and risk engines (e.g. P&L, VaR, PFE, Pricing Curves). Translate business needs into clear, testable Business and Functional Requirements More ❯

Product Owner – Analytics £45,000–£60,000 (plus bonus) Location: London – 2 days per week in the office (Tuesday/Wednesday or Wednesday/Thursday), remote the rest About the Company Our client is a market leader in risk and credit analytics across the energy, commodities, and financial services sectors. Their technology helps global trading firms manage exposure, streamline reporting … and make smarter, data-driven decisions. As part of the growth of their Analytics product line, they’re hiring a Product Owner to help shape the next generation of risk and analytics tools used by major energy and commodities players worldwide. The Hiring Manager summed it up perfectly: “It’s a chance to build something rather than just chase tail … lifecycle — from requirement gathering and analysis to testing, release, and enhancement. What You’ll Do Work with clients and internal teams to gather and clarify requirements, shaping features for analytics and risk systems. Analyse and validate outputs from pricing and risk engines (e.g. P&L, VaR, PFE, Pricing Curves). Translate business needs into clear, testable Business and Functional Requirements More ❯

Product Owner – Analytics £45,000–£60,000 (plus bonus) Location: London – 2 days per week in the office (Tuesday/Wednesday or Wednesday/Thursday), remote the rest About the Company Our client is a market leader in risk and credit analytics across the energy, commodities, and financial services sectors. Their technology helps global trading firms manage exposure, streamline reporting … and make smarter, data-driven decisions. As part of the growth of their Analytics product line, they’re hiring a Product Owner to help shape the next generation of risk and analytics tools used by major energy and commodities players worldwide. The Hiring Manager summed it up perfectly: “It’s a chance to build something rather than just chase tail … lifecycle — from requirement gathering and analysis to testing, release, and enhancement. What You’ll Do Work with clients and internal teams to gather and clarify requirements, shaping features for analytics and risk systems. Analyse and validate outputs from pricing and risk engines (e.g. P&L, VaR, PFE, Pricing Curves). Translate business needs into clear, testable Business and Functional Requirements More ❯

independent food brands using data to identify demand, optimise locations, and support brand expansion through a proprietary tech platform. The Data & Insight Engineer will report to the Head of Analytics and work cross-functionally across data, engineering, and marketing teams to enhance data infrastructure and insight delivery. Role and Responsibilities Build and maintain reliable data pipelines using GCP and orchestration … tools. Automate data processes and improve accessibility across the business. Collaborate with marketing and operations to translate data into actionable insight. Support analytics projects focused on brand performance, customer engagement, and operational efficiency. Contribute to ongoing platform development and performance tracking. Skills and Experience Required 2+ years’ experience in data or analytics engineering. Strong SQL and Python skills. Experience with More ❯

independent food brands using data to identify demand, optimise locations, and support brand expansion through a proprietary tech platform. The Data & Insight Engineer will report to the Head of Analytics and work cross-functionally across data, engineering, and marketing teams to enhance data infrastructure and insight delivery. Role and Responsibilities Build and maintain reliable data pipelines using GCP and orchestration … tools. Automate data processes and improve accessibility across the business. Collaborate with marketing and operations to translate data into actionable insight. Support analytics projects focused on brand performance, customer engagement, and operational efficiency. Contribute to ongoing platform development and performance tracking. Skills and Experience Required 2+ years’ experience in data or analytics engineering. Strong SQL and Python skills. Experience with More ❯

independent food brands using data to identify demand, optimise locations, and support brand expansion through a proprietary tech platform. The Data & Insight Engineer will report to the Head of Analytics and work cross-functionally across data, engineering, and marketing teams to enhance data infrastructure and insight delivery. Role and Responsibilities Build and maintain reliable data pipelines using GCP and orchestration … tools. Automate data processes and improve accessibility across the business. Collaborate with marketing and operations to translate data into actionable insight. Support analytics projects focused on brand performance, customer engagement, and operational efficiency. Contribute to ongoing platform development and performance tracking. Skills and Experience Required 2+ years’ experience in data or analytics engineering. Strong SQL and Python skills. Experience with More ❯

Are you ready to lead the next generation of AI-powered forensic analytics? Have you helped major banks and regulators make data-driven decisions under pressure? Do you want to shape how one of the Big 4 embeds GenAI into global risk and compliance functions? We’re working with a global consultancy expanding its Forensic Data Analytics practice in London. … days/week in office) Sponsorship: Available Salary: up to £95k + benefits Tech Stack: Azure, Python, data engineering, GenAI/LLMs Reporting Line: Partner – Forensic Data Analytics Interested? Please apply below. More ❯

optimisation to boost profitability Translating complex datasets into clear, actionable insights for senior stakeholders Collaborating across operations, finance, marketing, and energy teams to embed data-driven thinking Helping scale analytics capability as the team and data footprint grow This is the perfect mix of strategy and hands-on analytics — your work will have a direct impact on growth and the … using data to accelerate the UK’s green transition. This is a brilliant opportunity to own high-impact projects, work closely with senior leadership, and shape the future of analytics in the sustainability space. More ❯

Are you ready to lead the next generation of AI-powered forensic analytics? Have you helped major banks and regulators make data-driven decisions under pressure? Do you want to shape how one of the Big 4 embeds GenAI into global risk and compliance functions? We’re working with a global consultancy expanding its Forensic Data Analytics practice in London. … days/week in office) Sponsorship: Available Salary: up to £95k + benefits Tech Stack: Azure, Python, data engineering, GenAI/LLMs Reporting Line: Partner – Forensic Data Analytics Interested? Please apply below. More ❯

Are you ready to lead the next generation of AI-powered forensic analytics? Have you helped major banks and regulators make data-driven decisions under pressure? Do you want to shape how one of the Big 4 embeds GenAI into global risk and compliance functions? We’re working with a global consultancy expanding its Forensic Data Analytics practice in London. … days/week in office) Sponsorship: Available Salary: up to £95k + benefits Tech Stack: Azure, Python, data engineering, GenAI/LLMs Reporting Line: Partner – Forensic Data Analytics Interested? Please apply below. More ❯

optimisation to boost profitability Translating complex datasets into clear, actionable insights for senior stakeholders Collaborating across operations, finance, marketing, and energy teams to embed data-driven thinking Helping scale analytics capability as the team and data footprint grow This is the perfect mix of strategy and hands-on analytics — your work will have a direct impact on growth and the … using data to accelerate the UK’s green transition. This is a brilliant opportunity to own high-impact projects, work closely with senior leadership, and shape the future of analytics in the sustainability space. More ❯