1,751 to 1,775 of 14,636 Analytics Jobs in the UK

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 ❯

project governance frameworks and ensure compliance with organisational standards. Maintain project documentation, including charters, plans, schedules, and risk logs. Facilitate project reviews, audits, and lessons-learned sessions. Reporting and Analytics Prepare and deliver project reports, including dashboards, KPIs, and executive summaries. Monitor and report on project performance metrics, such as scope, budget, and schedule adherence. Analyse trends and provide insights More ❯

at JPMorgan Chase within the Infrastructure Platforms organization, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will be responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions to support the More ❯

in: Delivering actionable insights for decision-making across marketing, commercial, product, operational, or strategic areas. Transforming business questions into insight briefs. Driving insights from data and devising solutions to analytics problems. Extracting and integrating data from various sources. Applying analytical and statistical techniques, including A/B testing and forecasting. Managing project work individually and in teams. Storytelling insights and More ❯

experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder – with a strong sense of how to deliver real-world business outcomes. Is More ❯

/FX Quantitative Analyst London, England, United Kingdom 4 days ago Data Analyst, Power BI | Investment Management - Trading Platform | London, Hybrid | up to £100k + Bonus, Benefits Liquidity Data & Analytics Business Analyst Quantitative Associate, Index Investment Strategy London, England, United Kingdom 1 week ago Systematic Trader (Proprietary LLM/AI) – Dubai | Lead & Build | 0% Tax Data Analyst, Power BI | Investment More ❯

insights. Stay updated on emerging technologies and best practices in data science to contribute to continuous improvement initiatives. **Qualifications and Skills:** Master's Degree in computer science, IT, statistics, analytics, mathematics, or related field. - Proven experience in data analysis, statistical modeling, and machine learning techniques, preferably in financial services or wealth management. Proficiency in programming languages such as Python, R More ❯

accurate and complex analysis. The role holder would have an ability to explain complicated concepts to a lay-person and think creatively about problem-solving. Overview The Unilever People Analytics team is a pioneering group of statisticians, data scientists and visualisation experts that utilise advanced statistical techniques to analyse our HR, financial and marketing data. The role encompasses discovering and More ❯

configuration. Document SOPs related to streaming, batch configuration, or API management. Record details of data ingestion activities for team understanding. Develop and uphold best practices in data engineering and analytics following Agile DevSecOps methodologies. Experience Requirements: Strong analytical skills, including statistical analysis, data visualization, and machine learning techniques. Proficiency in programming languages such as Python, R, and Java. Experience in More ❯

of various data analysis. Experience We Are Looking For Master’s degree or above in mathematics, statistics, or computer science. 3+ years applied experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries OR 2+ years applied experience in data science in mobile market intelligence. Ability to write code that is ready for production (Python More ❯

challenges, uncover opportunities, and propose future experiments related to availability and expirations reporting. Key requirements of Lead Data Scientist - Category Management : Ideally having 4-6 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 ❯

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 ❯

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 ❯

Strong analytical skills and attention to detail. Preferred/Bonus Skills: Experience with Microsoft Fabric (OneLake, DirectLake, Data Warehouse, Data Activator) is a significant plus. Knowledge of Azure Synapse Analytics , Databricks , or Power BI . Experience with automated data validation or scripting (e.g., Python, PowerShell). Familiarity with CI/CD processes in data environments. Relevant certifications (e.g., Microsoft Certified 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 ❯

Oriented Analysis and Design CI/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 Seniority level Seniority level Mid-Senior level Employment More ❯

Knowledge: Proficiency in SQL and NoSQL databases. Design & Implementation: Experience with three or more of the following: Azure Synapse, Azure SQL DB, Cosmos DB, Mongo DB, Redshift, S3, Stream Analytics, Kinesis, Azure Data Factory, IoT Hub, Azure ML Studio, SageMaker Modelling, Azure Data Lake Gen2, HD Insight. Desirable Skills Experience in Fabric and Synapse is highly desirable Programming: Knowledge of More ❯

Strong problem-solving skills Effective communication and relationship management skills Strong project management skills, including scope, planning, and risk management Organizational skills to handle multiple tasks Proficiency in data analytics and manipulation Desirable: PowerBI, SQL, DataBricks, ArcGIS, ArcOnline, Excel, Google Sheets, AppSheets, ProntoForms, Jira, Lucid If you don’t meet all the requirements, we still encourage you to apply if More ❯

Senior, you would be working with leadership as a part of these exciting and impactful projects.In addition, you will be required to: Understand key tax reporting processes, technology, data, analytics, and risks/controls Establish relationships with peers and effectively balance projects across teams Support the team in planning and executing internal and external projects Grow technical skills and business More ❯

progress on enhanced risk assessments performed to the AI Triage Group and AI Governance Working Group. Co-ordinate with the Data Privacy and Artificial Intelligence team, Innovation and Data Analytics team, Operational Risk team, Project teams and Business Functions to ensure all relevant input is provided when assessing risks. Prioritise enhanced risk assessment based on business value, project timelines and More ❯

progress on enhanced risk assessments performed to the AI Triage Group and AI Governance Working Group. Co-ordinate with the Data Privacy and Artificial Intelligence team, Innovation and Data Analytics team, Operational Risk team, Project teams and Business Functions to ensure all relevant input is provided when assessing risks. Prioritise enhanced risk assessment based on business value, project timelines and More ❯

payments data infrastructure Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries Financial Services and Data Infrastructure and Analytics Referrals increase your chances of interviewing at 83data by 2x Sign in to set job alerts for “Data Engineer” roles. Greater London, England, United Kingdom 2 weeks ago London, England More ❯

Basic understanding of object-oriented programming, relational databases, data modeling, and SQL. Knowledge of software testing practices, API integrations (REST, SOAP), JDBC, web services, and familiarity with AWS, AI, Analytics, ML, Google Cloud, and containerization (preferred). Basic Qualifications: At least 3 years of hands-on software development or technical consulting experience. B.S./B.A. in Engineering, Computer Science, Information More ❯