426 to 450 of 3,396 Analytics Jobs in the UK excluding London

Qualifications: At least: 2-3 years in sales operations, business analysis, or a related role, preferably in a tech or SaaS environment. Education: Bachelor’s degree in Business, Data Analytics, Finance, or a related field is preferred. Analytical Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM More ❯

Qualifications: At least: 2-3 years in sales operations, business analysis, or a related role, preferably in a tech or SaaS environment. Education: Bachelor’s degree in Business, Data Analytics, Finance, or a related field is preferred. Analytical Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM More ❯

Qualifications: At least: 2-3 years in sales operations, business analysis, or a related role, preferably in a tech or SaaS environment. Education: Bachelor’s degree in Business, Data Analytics, Finance, or a related field is preferred. Analytical Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM More ❯

governance Stay up to date with BI tools, technologies and trends. Lead the integration of AI and ML techniques and tools to help automate repetitive tasks and improve predictive analytics for forecasting. The Candidate Business Intelligence Analyst You will bring proven experience in a BI, Data Analyst or similar role. Demonstrate the design of dashboards, reports and data visualisation methods. More ❯

learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models and workflows What’s in More ❯

learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models and workflows What’s in More ❯

learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models and workflows What’s in More ❯

strategy Desirable Skills Experience with Java (Spring Boot, Jersey, Maven) for back-end integration Familiarity with Agile methodologies and government digital service standards Knowledge of Power BI for embedded analytics and reporting Understanding of accessibility standards (WCAG) and responsive design principles What We're Looking For Proven experience delivering enterprise-grade PowerApps solutions Strong problem-solving skills and attention to More ❯

. Your work will power data-driven decision-making across the business and lay the groundwork for our clients shift from manual, Excel-led reporting to a self-service analytics culture. If you’re passionate about cloud architecture, governance, and enabling business intelligence at scale — this is your opportunity to make a real impact. What You’ll Do As a More ❯

from legacy on-prem systems to a modern Azure-based data platform. Build and manage a team of BI Analysts and Data Engineers. Develop dashboards, reporting tools, and predictive analytics to support business units. Champion data governance, quality, and compliance across the organisation. Act as a trusted advisor to senior leadership, translating data into commercial insight. What We're Looking More ❯

for you. Key Responsibilities Design, develop, and maintain BI solutions using Power BI, SQL, and Azure Data Services Build and manage a scalable data warehouse to support reporting and analytics Collaborate with stakeholders across investment, operations, and compliance teams to gather requirements and deliver actionable insights Develop ETL pipelines to integrate data from various internal and external sources Ensure data 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 ❯

findings · Raise key issues and risks in a timely manner to the Project Manager/Delivery Lead · Liaise with different levels of the hierarchy, especially with Development Leads, Quantitative Analytics and Risk Managers · Follow good processes and practices, as defined by the team standards; ensuring that documentation is complete, comprehensive and signed off · Assist with the prioritisation and planning of More ❯

findings · Raise key issues and risks in a timely manner to the Project Manager/Delivery Lead · Liaise with different levels of the hierarchy, especially with Development Leads, Quantitative Analytics and Risk Managers · Follow good processes and practices, as defined by the team standards; ensuring that documentation is complete, comprehensive and signed off · Assist with the prioritisation and planning of More ❯

findings · Raise key issues and risks in a timely manner to the Project Manager/Delivery Lead · Liaise with different levels of the hierarchy, especially with Development Leads, Quantitative Analytics and Risk Managers · Follow good processes and practices, as defined by the team standards; ensuring that documentation is complete, comprehensive and signed off · Assist with the prioritisation and planning of More ❯

Business Intelligence Analyst/BI Officer An exciting opportunity for a Business Intelligence Analyst/BI Officer to use data visualisation and analytics to drive insight, inform strategy, and support continuous improvement across the organisation and the wider sport sector. If youve also worked in the following roles, wed also like to hear from you: Data Analyst, Reporting Analyst, Power More ❯

management skills. Highly organised, self-motivated, and results-driven. Able to prioritise, problem-solve, and deliver under pressure. Flexible, adaptable, and proactive in approach. Desirable Extras Knowledge of data analytics tools (Power BI, Tableau). Familiarity with GDPR, ISO 27001 , and compliance frameworks. Basic programming knowledge (Python, Java, or C#) for automation or customisation. More ❯

Data Product Solution Architect to drive the architecture, design, and delivery of scalable, secure, and high-performing data products. This role acts as a strategic bridge between data engineering, analytics, product management, and business stakeholders to define and implement data product solutions that are technically sound and aligned with business goals. The ideal candidate is both technically hands-on and More ❯

Data Product Solution Architect to drive the architecture, design, and delivery of scalable, secure, and high-performing data products. This role acts as a strategic bridge between data engineering, analytics, product management, and business stakeholders to define and implement data product solutions that are technically sound and aligned with business goals. The ideal candidate is both technically hands-on and More ❯

collaboration skills — able to guide teams and work cross-functionally with product and design. Bonus Skills Experience with event-driven or microservice architectures . Exposure to data-driven or analytics applications (e.g., Power BI, Tableau integration). Knowledge of security-by-design principles and ISO-aligned engineering practices. Experience mentoring distributed or cross-functional teams. In return, we offer: Competitive More ❯

data and packaging, WEEE and battery data. To support the implementation of the approved improvements Provide problem solving support, advice and guidance to internal customers Make use of data analytics to answer key business questions outside of master data by providing both qualitative and quantitative analysis on request Responsible for ensuring all master data processes are documented and stored To More ❯

countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. With a comprehensive solution portfolio across four service lines—Consulting, Solutions, Talents, and Academy—Akkodis supports clients from More ❯

countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. With a comprehensive solution portfolio across four service lines—Consulting, Solutions, Talents, and Academy—Akkodis supports clients from More ❯

countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. With a comprehensive solution portfolio across four service lines—Consulting, Solutions, Talents, and Academy—Akkodis supports clients from More ❯

to guide strategic decisions Collaborate with cross-functional teams to deliver data-driven solutions Present insights and recommendations to senior leadership Support the evolution of a modern, self-serve analytics culture Act as a trusted data advisor across the business The Skills – Data Scientist We’re looking for someone who’s curious, analytical, and ready to turn data into action More ❯