751 to 775 of 7,519 Analytics Jobs in the UK

data scientists while contributing to high-impact projects. Create and implement AI-driven solutions that personalise customer experiences and maximise marketing performance. Use A/B testing and advanced analytics to assess the real-world impact of data-driven strategies. Present findings to technical and non-technical stakeholders, driving data-led decision-making. What We’re Looking For A strong More ❯

days on site (Bristol) If this opportunity aligns with your skills and career goals, we encourage you to apply and showcase your expertise in Power BI and data analytics More ❯

Developer. 2-3 Days a month in London required. As a KDB+ Developer, you will play a key role in designing, developing, and maintaining cutting-edge data processing and analytics solutions, collaborating with a team of skilled professionals to build robust systems that handle high-frequency data and enable real-time insights for our clients. Responsibilities: Develop and optimize KDB+ More ❯

legacy/manual systems into modernised, scalable solutions. Conduct testing (manual and automated), extend wiki documentation, and contribute to ongoing development projects. Requirements Experience working within data engineering or analytics in a financial or regulated business environment. Proficiency in Microsoft SQL Server, Azure SQL, SSIS or Azure Data Factory. Strong skills in Excel and Power Query; experience developing reports in More ❯

legacy/manual systems into modernised, scalable solutions. Conduct testing (manual and automated), extend wiki documentation, and contribute to ongoing development projects. Requirements Experience working within data engineering or analytics in a financial or regulated business environment. Proficiency in Microsoft SQL Server, Azure SQL, SSIS or Azure Data Factory. Strong skills in Excel and Power Query; experience developing reports in More ❯

legacy/manual systems into modernised, scalable solutions. Conduct testing (manual and automated), extend wiki documentation, and contribute to ongoing development projects. Requirements Experience working within data engineering or analytics in a financial or regulated business environment. Proficiency in Microsoft SQL Server, Azure SQL, SSIS or Azure Data Factory. Strong skills in Excel and Power Query; experience developing reports in More ❯

to customers at the lowest cost and in the fastest possible time. We are looking for an experienced Business Intelligence Engineer to play a pivotal role in owning complex analytics and serving as a team lead for BIEs and BAs on the team to help drive the growth of Veeqo. Key job responsibilities As a Head of Business Intelligence, you More ❯

and with ongoing professional development, the successful candidate will become a vital member of the Data Platform team. Key responsibilities: Support business users in Alteryx development. Develop workflows and analytics solutions using best practices, including data querying, parsing, analysis, and automation. Evaluate requirements, create technical design documents, and follow Agile methodologies. Collaborate with internal teams and contractors to develop Alteryx More ❯

Title: Power Platform Quality Assurance About VE3- VE3 is a leading digital transformation and cloud solutions provider, delivering cutting-edge services in Salesforce, AI-driven insights, cybersecurity, DevOps, data analytics, and managed services. As a trusted partner for Microsoft, AWS, IBM, SAP, Oracle, Google, Salesforce, and Data bricks, we specialize in empowering enterprises with next-generation technology solutions. We are More ❯

experience using MS SQL Server (SSIS, T-SQL, Stored procedures, Functions, Views, Queries, Datatype conversions, etc.). Experience working with APIs, Postman/SOAPUI tools, MS D365, ServiceNow, Azure Analytics tools, Azure Synapse, Azure BYOD & Data verse, Azure DevOps, Informatica, BI tools, etc. is a big plus. General business skills: Excellent communication to translate and explain business requirements to technology More ❯

of navigating AI best practices within an Azure Data Engineering environment. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a strong portfolio of successful projects. Implement and deploy AI models into production environments. Monitor and evaluate the performance of AI models and make necessary adjustments. Provide training and More ❯

and data models in Snowflake Integrate data from multiple structured and unstructured sources into the new platform Collaborate with Data Analysts to optimise semantic models and support self-service analytics Implement and enforce data governance, security, and access control policies Monitor and tune system performance to ensure scalability, reliability, and cost-efficiency ✅ What We’re Looking For: Proven experience in More ❯

leadership. Proven experience as an Azure Data Architect or Lead Data Engineer. Expertise in Microsoft Fabric, as well as in one or more of the following platforms: Azure Synapse Analytics and Azure Databricks, and supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Data Lake, etc. Excellent stakeholder engagement and communication skills. Able to consult, advise, architect More ❯

collect, process, and analyze large datasets. Build and optimize ETL workflows to ensure efficient data integration and processing. Collaborate with data scientists, analysts, and engineers to support data modeling, analytics, and reporting needs. Leverage Python to implement robust data solutions, including automation and optimization tasks. Develop and maintain cloud data infrastructure using platforms like AWS, Azure, or Google Cloud Platform More ❯

operational support solutions (alerts, dashboards, runbooks, etc.) Experience working with Azure DevOps and CI/CD pipeline. Experience working with APIs, Postman/SOAPUI tools, MS D365, ServiceNow, Azure Analytics tools, Azure Data lake, Azure Synapse, Azure BYOD & Data verse, Informatica, BI tools, etc. is a big plus. General business skills: Clear communication to translate and explain business requirements to More ❯

strong background in qualitative and quantitative data analysis, statistical analysis, and intelligence work. They will be proficient in SQL and data warehouse platforms, as well as technical proficiency in analytics platforms such as Power BI. Key skills include the ability to collate, summarise, and present complex information to various audiences, gather user requirements for analytical work, and manipulate and analyse More ❯

operational support solutions (alerts, dashboards, runbooks, etc.) Experience working with Azure DevOps and CI/CD pipeline. Experience working with APIs, Postman/SOAPUI tools, MS D365, ServiceNow, Azure Analytics tools, Azure Data lake, Azure Synapse, Azure BYOD & Data verse, Informatica, BI tools, etc. is a big plus. General business skills: Clear communication to translate and explain business requirements to More ❯

years' experience in the UK mortgage market. Keystone Property Finance are looking for a highly motivated individual with a numerical and analytical background to join our expanding data analytics team. The ideal candidate will be proactive, keen to learn new skills, have an interest in coding, a self-motivated problem solver, analytically thinking, efficient, with strong inter-personal skills and More ❯

Server Data Modelling: Strong knowledge of dimensional modelling (Kimball). Familiarity with other techniques such as Data Vault 2.0. Development Experience: Minimum 3 years in database and/or analytics systems development and deployment. Strong understanding of Python and Spark for data transformation and pipeline development. Consulting & Client-Facing: Experience working on consultancy-led projects with external clients. Ability to More ❯

DevOps tools, CI/CD pipelines, and containerization technologies like Docker/Kubernetes. Understanding of financial regulations (e.g., Basel III, MiFID II, AML/KYC) and knowledge of data analytics or machine learning is a plus. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world More ❯

optimize our data pipelines and infrastructure. What you'll be responsible for: Design and implement modern, cloud-native data architecturesincluding data lakes, data warehouses, and data martsthat support advanced analytics, AI/ML, and business intelligence use cases. Oversee robust data ingestion and integration frameworks that ensure data consistency, accuracy, and timeliness across our global systems. Collaborate with business, product More ❯

positioning, and negotiation strategies. Qualifications and Skills Strong analytical skills with proficiency in Excel, SQL, and data visualization tools (e.g., Tableau). Experience in pricing, revenue management, or commercial analytics within B2B or SaaS environments. Understanding of pricing strategies, including value-based and dynamic models. Experience with A/B testing or similar pricing experiments. Commercial mindset balancing profitability and More ❯

and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy-to-understand More ❯

and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy-to-understand More ❯

Sales Lead Scientist Apply locations: London, United Kingdom Time type: Full time Posted on: Posted Yesterday Job requisition id: 30622 About FICO FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in over 100 countries make better decisions. Join our world-class team today and fulfill your career potential! The Opportunity As an AI Pre-Sales Scientist More ❯