276 to 300 of 6,272 Analytics Jobs in the UK

one of the UK's top Quality Engineering consultancies, is expanding! We are looking for two experienced Data Warehouse Quality Engineers to support multiple analytics projects for a prestigious client. About You: Expertise in testing Oracle, Snowflake, and Postgres databases and data warehouses Experience delivering fully reconciled Facts and Dimensions More ❯

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 More ❯

/CD and source control - ETL techniques and principles - Data modelling - Master Data Management - Data Visualization Experienced in building Microsoft AI Services Reporting and analytics solutions in the Microsoft Azure ecosystem This is a great opportunity and salary is dependent upon experience. Apply now for more details More ❯

/CD and source control - ETL techniques and principles - Data modelling - Master Data Management - Data Visualization Experienced in building Microsoft AI Services Reporting and analytics solutions in the Microsoft Azure ecosystem This is a great opportunity and salary is dependent upon experience. Apply now for more details More ❯

well-suited to a versatile individual who thrives in dynamic, fast-paced environments. The role involves contributing to the growth of the Data and Analytics function, collaborating with technical teams to enhance and streamline data reporting processes. Key responsibilities include handling, visualising, and interpreting data, with a strong focus on More ❯

service-based business Strong understanding of Field Service Management systems and service workflows SQL reporting experience Hands-on experience with Power BI or similar analytics tools Understanding of project management and software development lifecycles Excellent communication and stakeholder engagement skills Ability to work independently and manage multiple priorities Strong problem More ❯

well-suited to a versatile individual who thrives in dynamic, fast-paced environments. The role involves contributing to the growth of the Data and Analytics function, collaborating with technical teams to enhance and streamline data reporting processes. Key responsibilities include handling, visualising, and interpreting data, with a strong focus on More ❯

alongside leadership in project delivery and resource planning. You’ll serve as a subject matter expert (SME) across multiple domains, bringing together data integration, analytics, reporting layers, and governance—while coordinating across DevOps, infrastructure, application support, and security teams to deliver robust, enterprise-grade solutions. Key Responsibilities Lead the design More ❯

Data Governance & Compliance: Ensure data integrity, security, and compliance with industry regulations (e.g., GDPR, PCI-DSS). Collaboration with Stakeholders: Work closely with product, analytics, and engineering teams to deliver data-driven insights and support business growth. ETL & Data Pipeline Management: Design, implement, and optimize ETL/ELT workflows using More ❯

Ten10, one of the UKs top Quality Engineering consultancies, is expanding! We are seeking an experienced Data Warehouse Quality Engineer to support multiple analytics projects for a prestigious client. About You: Youll bring technical excellence, hands-on experience, and the ability to manage multiple test activities simultaneously. Were looking for More ❯

Ten10, one of the UK's top Quality Engineering consultancies, is expanding! We are seeking an experienced Data Warehouse Quality Engineer to support multiple analytics projects for a prestigious client. About You: You'll bring technical excellence, hands-on experience, and the ability to manage multiple test activities simultaneously. We More ❯

alongside leadership in project delivery and resource planning. You’ll serve as a subject matter expert (SME) across multiple domains, bringing together data integration, analytics, reporting layers, and governance—while coordinating across DevOps, infrastructure, application support, and security teams to deliver robust, enterprise-grade solutions. Key Responsibilities Lead the design More ❯

alongside leadership in project delivery and resource planning. You’ll serve as a subject matter expert (SME) across multiple domains, bringing together data integration, analytics, reporting layers, and governance—while coordinating across DevOps, infrastructure, application support, and security teams to deliver robust, enterprise-grade solutions. Key Responsibilities Lead the design More ❯

engineering and service management methodologies. Experience with database technologies such as MySQL, Oracle, or Amazon Redshift. Experience with tools like Power BI, Pentaho Business Analytics, ElasticSearch, Solr, or Apache Kafka. Mentoring and coaching skills. Desired Skills: Experience with Python and its data and machine learning libraries. Exposure to ETL tooling. More ❯

and implement AI/ML algorithms for processing various types of data (timeseries, tabular, etc.). Develop computer models and perform predictive and prescriptive analytics for various applications. Build Proof of Concepts in notebooks, integrate these algorithms into the operational flow of the customer, train the users, and provide support. More ❯

objectives. Work closely with clients to gather requirements, refine project scopes, and communicate insights effectively. Create and maintain scalable and efficient databases to support analytics needs. Perform exploratory data analysis to uncover trends, anomalies, and actionable insights. Ensure data accuracy, consistency, and integrity across reports and dashboards. Collaborate with other More ❯

EST/EDT (Eastern US/Canada) or GMT/BST (London) GenIP (www.genip.ai) empowers organizations to assess and commercialize new discoveries using GenAI analytics through our core Invention Evaluator platform. We are growing and seeking a strategic, remote-first CTO to drive our technology evolution. This role will define More ❯

Take responsibility for deliverables and quality. Stay updated with emerging data technologies: Bring value through early adoption. Build strong relationships: Collaborate across business, science, analytics, and engineering partners. Previous experience in a Data Engineering role: Passion for data and industry best practices in a dynamic environment. Proficiency in technologies such More ❯

Boot, TypeScript, JavaScript, React Databases: PostgreSQL, SQL Server, MongoDB Messaging & Integration: Kafka, ActiveMQ, REST, API Gateways, WSO2 Cloud & DevOps: AWS, Docker, Ansible, Jenkins Search & Analytics: Elasticsearch Culture & Team Engineers are supported by a collaborative, inclusive team that values both professional development and work-life balance. While the team works hard More ❯

Boot, TypeScript, JavaScript, React Databases: PostgreSQL, SQL Server, MongoDB Messaging & Integration: Kafka, ActiveMQ, REST, API Gateways, WSO2 Cloud & DevOps: AWS, Docker, Ansible, Jenkins Search & Analytics: Elasticsearch Culture & Team Engineers are supported by a collaborative, inclusive team that values both professional development and work-life balance. While the team works hard More ❯

someone who can not only crunch the numbers, but also tell the story behind them. The Role You'll take the lead on key analytics initiatives, working end-to-end across data pipelines, visualisation, and stakeholder communication. It's a hands-on role with plenty of variety - perfect for someone More ❯

leadership and at all levels of the organisation alike. Technical Proficiency - Strong proficiency in MS Excel, PowerPoint, and Word; experience with business intelligence and analytics tools is a plus. Adaptability & Collaboration - Thrives in a fast-paced environment, working effectively with cross-functional teams. More ❯

Technology, Engineering, STEAM degree or a related field is required. An advanced degree (Masters’ or Postgraduate) a plus b. Certifications in financial systems, data analytics, or project management (e.g., PMP, CFA, FRM) a huge plus Professional Experience:a. Experience in fund administration, private markets, or asset management firms b. 5+ More ❯

Technology, Engineering, STEAM degree or a related field is required. An advanced degree (Masters’ or Postgraduate) a plus b. Certifications in financial systems, data analytics, or project management (e.g., PMP, CFA, FRM) a huge plus Professional Experience:a. Experience in fund administration, private markets, or asset management firms b. 5+ More ❯

BI, Linux, Airflow. An appreciation of the main concepts of Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logistic regression and cluster analysis, plus some predictive time series analysis. More ❯