76 to 100 of 2,849 Analytics Jobs in the UK excluding London

and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning workflows and help embed models into production systems Analyse transaction and behavioural data to identify trends, anomalies, and More ❯

and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end-to-end machine learning workflows and help embed models into production systems Analyse transaction and behavioural data to identify trends, anomalies, and More ❯

Analytics Engineer – Hampshire, United Kingdom – c£55,000 Are you a data professional ready to shape the future of analytics within a fast-paced, innovative environment? Our client is a leading organisation in the events and venue sector, and they’re seeking an Analytics Engineer to strengthen their data infrastructure and drive data-led decision-making across their business.This role … Responsibilities Data Infrastructure Development – Build, maintain, and optimise scalable, reliable data ingestion pipelines on Microsoft Azure. Data Transformation & Modelling – Deliver modular, maintainable data models using DBT, ensuring alignment with analytics and business needs. Programming & Analytics – Leverage Python for automation, ETL, data validation, and integrating data from multiple sources. Quality & Performance – Ensure data accuracy, consistency, and efficiency, while optimising pipelines for … cost and SLA performance. Collaboration – Work with stakeholders across analytics, marketing, operations, and leadership to translate challenges into effective data solutions, including dashboards and reporting frameworks. Skills & Experience Required Essential: Proven experience building scalable data pipelines on Microsoft Azure. Strong SQL skills and understanding of data warehousing best practices. Hands-on experience with Databricks and/or Microsoft Fabric. Proficiency More ❯

s leading advisory firms with a truly global footprint. Interpath is looking for an experienced candidate to help develop Interpath's Data & Technology consulting group, of which the Data Analytics team is part. Our Data Analytics team is a busy group serving analytics requirements across multiple service lines at Interpath. We will consider Data Analytics specialists with experience in various … collected, stored, applied and presented. This is an opportunity to join a fast-growing unit and to play a key role in its development and growth. Key Accountabilities: Deals Analytics support Building new data capabilities covering Customer profiling, segmentation & profitability; demand forecasting & inventory management; supply chain optimisation; (Procurement) spend analytics to compliment the mature working capital capability in place today. … in building new data capabilities within the team. Accelerate delivery of key data projects through new 'ways of thinking'. At least 4 years of experience in the Data Analytics space (preferably in a consulting context). University degree 2.1 or higher (or equivalent) in Computer Science/Mathematics/Statistics or equivalent. End to end knowledge of data warehouse More ❯

team of Data Modellers and Business Analysts. Communicate strategy, vision, and progress to senior stakeholders. Your Profile 5+ years' experience in data product management. Strong grasp of data infrastructure, analytics, engineering, and machine learning. Proven track record of launching and scaling data products. Strategic thinker with tactical execution abilities. Skilled in agile methodologies and stakeholder engagement. Inspirational leader and mentor More ❯

with ApptioOne, Power BI, or PowerApps ITIL or Service Management background Understanding of relational databases and SQL Experience working in large, global organisations (banking/financial services preferred) Data analytics and mining expertise More ❯

tech company that's transforming how organisations approach learning and performance. About the Role As a Business Intelligence SQL Developer, you'll design, develop, and maintain business intelligence and analytics solutions that empower customers to make smarter decisions. You'll work across the full data lifecycle-from data warehousing and ETL to reporting and visualisation-using tools like SQL Server More ❯

making across the business. The position is ideally suited to someone with 2+ years' experience in data analysis, though candidates with a strong educational background in Maths, Finance, or Analytics will also be considered. What you'll be doing: Collect, analyse, and interpret large data sets to support business decisions Produce accurate, timely reports and dashboards using Excel and Power More ❯

where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products Leadership More ❯

where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products Leadership More ❯

where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products Leadership More ❯

address challenges, uncover opportunities, and propose future experiments related to availability and expirations reporting. Key requirements of Data Scientist - Category Management : Ideally having 3-6 years of experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment More ❯

currently looking for a Data Engineer to join our Professional Services division. You will be part of a cross-functional Data Consulting team spanning data engineering, data science, AI, analytics, and visualisation. You will work with clients across multiple sectors, helping them explore next-generation data techniques, AI capabilities, and tools to drive measurable business value from their data assets. More ❯

currently looking for a Data Engineer to join our Professional Services division. You will be part of a cross-functional Data Consulting team spanning data engineering, data science, AI, analytics, and visualisation. You will work with clients across multiple sectors, helping them explore next-generation data techniques, AI capabilities, and tools to drive measurable business value from their data assets. More ❯

currently looking for a Data Engineer to join our Professional Services division. You will be part of a cross-functional Data Consulting team spanning data engineering, data science, AI, analytics, and visualisation. You will work with clients across multiple sectors, helping them explore next-generation data techniques, AI capabilities, and tools to drive measurable business value from their data assets. More ❯

strategy and reporting roadmap Establish and operate a central Reporting Shared Service — delivering trusted, unified data across the organisation Oversee the design and operation of Power BI dashboards and analytics tools to support business performance Champion data governance, process documentation, and reporting best practices via a Centre of Excellence Support technical data tasks including SQL modelling, ETL/ELT pipelines More ❯

with ENGIE's Code of Conduct. Develop and implement strategic sourcing contracts. Build strong relationships with suppliers and internal stakeholders. Mentor and develop junior procurement staff. Procurement Excellence & Data Analytics (20%): Develop and maintain dashboards and visual management tools using Power BI. Support decision-making with data-driven insights. Lead Digitisation initiatives to enhance procurement operations. What We’re Looking More ❯

strategy and reporting roadmap Establish and operate a central Reporting Shared Service — delivering trusted, unified data across the organisation Oversee the design and operation of Power BI dashboards and analytics tools to support business performance Champion data governance, process documentation, and reporting best practices via a Centre of Excellence Support technical data tasks including SQL modelling, ETL/ELT pipelines More ❯

with ENGIE's Code of Conduct. Develop and implement strategic sourcing contracts. Build strong relationships with suppliers and internal stakeholders. Mentor and develop junior procurement staff. Procurement Excellence & Data Analytics (20%): Develop and maintain dashboards and visual management tools using Power BI. Support decision-making with data-driven insights. Lead Digitisation initiatives to enhance procurement operations. What We’re Looking More ❯

with ENGIE's Code of Conduct. Develop and implement strategic sourcing contracts. Build strong relationships with suppliers and internal stakeholders. Mentor and develop junior procurement staff. Procurement Excellence & Data Analytics (20%): Develop and maintain dashboards and visual management tools using Power BI. Support decision-making with data-driven insights. Lead Digitisation initiatives to enhance procurement operations. What We’re Looking More ❯

strategy and reporting roadmap Establish and operate a central Reporting Shared Service — delivering trusted, unified data across the organisation Oversee the design and operation of Power BI dashboards and analytics tools to support business performance Champion data governance, process documentation, and reporting best practices via a Centre of Excellence Support technical data tasks including SQL modelling, ETL/ELT pipelines More ❯

strategy and reporting roadmap Establish and operate a central Reporting Shared Service — delivering trusted, unified data across the organisation Oversee the design and operation of Power BI dashboards and analytics tools to support business performance Champion data governance, process documentation, and reporting best practices via a Centre of Excellence Support technical data tasks including SQL modelling, ETL/ELT pipelines More ❯

ensure data quality and availability, and clearly communicate your findings to stakeholders to support strategic decision-making. Valued skills and experience: Education: Bachelor's degree in Data Science, Business Analytics, Statistics, Economics, or a related field. Experience: Demonstrated experience in a data analysis or business intelligence role. Skills: Proficiency in SQL and Excel is essential. You must also have experience More ❯

ensure data quality and availability, and clearly communicate your findings to stakeholders to support strategic decision-making. Valued skills and experience: Education: Bachelor's degree in Data Science, Business Analytics, Statistics, Economics, or a related field. Experience: Demonstrated experience in a data analysis or business intelligence role. Skills: Proficiency in SQL and Excel is essential. You must also have experience More ❯

data engineers, BI developers, and analysts, with a modern, people-first approach. Experience in SaaS or platform-based businesses is a plus Experience in data roles (data engineering, BI, analytics or architecture). Data lake storage, SQL database, NoSQL Sound understanding of database architecture and relevant underpinning concepts, including relational data modelling, frameworks, warehouse and data lake design, performance optimisation More ❯