176 to 200 of 6,691 Analytics Jobs in England

years. Role overviewAs a Looker Developer at Tes, you will play a key role in our data transformation journey, helping scale and mature our analytics capabilities through Looker. You will be responsible for designing, developing, and maintaining LookML models and delivering high-quality, governed data experiences across the business.Working closely … Product, and Finance teams to understand reporting needs and translate them into robust Looker solutionsDevelop and maintain data pipelines and transformations (in collaboration with analytics engineering teams) to support Looker modelsOptimise Looker performance through efficient modelling, caching strategies, and query designEnable and promote self-service analytics by creating intuitive dashboards ...

pivotal role in integrating with data lakes, lake house architectures, and enterprise databases, all while working with large-scale data systems that drive our analytics and business-critical applications. What You'll Do: Develop & Maintain: Create backend applications using Python and SQL, ensuring they are efficient and robust.Database Solutions: Build … structured, semi-structured, and unstructured data.APIs & Services: Develop APIs and services that enable smooth data access and transformation workflows.Collaboration: Work with data engineering and analytics teams to support reporting, BI, and advanced analytics initiatives.Governance & Quality: Ensure data quality and consistency across platforms while complying with governance policies. What You Bring ...

develop AI-ready knowledge assets and repositories - Support development of reusable datasets, taxonomies and knowledge frameworks - Enable scalable AI-assisted services and products Analytics & Reporting: - Build dashboards and visualisations to track adoption and impact - Deliver insight and recommendations to both technical and non-technical stakeholders Data Strategy & Governance: - Support implementation … finance and business teams - Evaluate new technologies and tools - Support and mentor colleagues within a collaborative environment About You: - 5+ years' experience in data, analytics, AI or machine learning - Strong technical skills (Python, SQL, data pipelines) - Experience with AI technologies (e.g. LLMs, vector databases, Azure/OpenAI tools) - Proven ability ...

pivotal role in integrating with data lakes, lake house architectures, and enterprise databases, all while working with large-scale data systems that drive our analytics and business-critical applications. What You'll Do: Develop & Maintain: Create backend applications using Python and SQL, ensuring they are efficient and robust. Database Solutions … structured, and unstructured data. APIs & Services: Develop APIs and services that enable smooth data access and transformation workflows. Collaboration: Work with data engineering and analytics teams to support reporting, BI, and advanced analytics initiatives. Governance & Quality: Ensure data quality and consistency across platforms while complying with governance policies. What ...

network of nearly 70,000 ATMs. Within Vocalink, the Data & Insights function is responsible for the delivery of payment reporting and customised analytics to both internal stakeholders and external customers. The Data & Insights function is looking for a Data & AI Senior Product Owner to deliver innovative data … preferred) in Data Science, Technology, Mathematics, Statistics, Business Administration or equivalent work experience. - Proven experience building and commercialising data-driven, advanced analytics, AI, and ML products using multiple data sources, including payments, card transactions, macroeconomic, and syndicated data. - Experience in two or more of the following areas: forecasting and predictive ...

network of nearly 70,000 ATMs. Within Vocalink, the Data & Insights function is responsible for the delivery of payment reporting and customised analytics to both internal stakeholders and external customers. The Data & Insights function is looking for a Data & AI Senior Product Specialist to deliver innovative data … preferred) in Data Science, Technology, Mathematics, Statistics, Business Administration or equivalent work experience.• Proven experience building and commercialising data-driven, advanced analytics, AI, and ML products using multiple data sources, including payments, card transactions, macroeconomic, and syndicated data. • Experience in two or more of the following areas: forecasting and predictive ...

network of nearly 70,000 ATMs. Within Vocalink, the Data & Insights function is responsible for the delivery of payment reporting and customised analytics to both internal stakeholders and external customers. The Data & Insights function is looking for a Data & AI Senior Product Specialist to deliver innovative data … preferred) in Data Science, Technology, Mathematics, Statistics, Business Administration or equivalent work experience.• Proven experience building and commercialising data-driven, advanced analytics, AI, and ML products using multiple data sources, including payments, card transactions, macroeconomic, and syndicated data. • Experience in two or more of the following areas: forecasting and predictive ...

pivotal role in integrating with data lakes, lake house architectures, and enterprise databases, all while working with large-scale data systems that drive our analytics and business-critical applications.What You'll Do:Develop & Maintain: Create backend applications using Python and SQL, ensuring they are efficient and robust.Database Solutions: Build … structured, semi-structured, and unstructured data.APIs & Services: Develop APIs and services that enable smooth data access and transformation workflows.Collaboration: Work with data engineering and analytics teams to support reporting, BI, and advanced analytics initiatives.Governance & Quality: Ensure data quality and consistency across platforms while complying with governance policies.What You Bring:Core ...

Business Intelligence group is a center of excellence at the Firm for data analytics, data management and data governance, with a focus on enhancing data and analytics literacy, reliability and accessibility, and developing an umbrella strategy for data and information governance throughout the Firm. The group is responsible for transforming … external sources. We develop and maintain datasets, dashboards and reports that provide real-time visibility into key performance indicators and trends. By leveraging advanced analytics and data visualization techniques, the Business Intelligence group identifies opportunities for growth, uncovers inefficiencies and helps predict future trends. We collaborate with all functions ...

offices in London or Luxembourg Key job responsibilities Key Job Responsibilities: - Build and maintain ETL pipelines and data models supporting EU supply chain analytics - Develop dashboards and reporting solutions for retail stakeholders, ensuring data accuracy and timely delivery - Perform deep-dive analyses on supply chain metrics, surfacing root causes … translate business questions into analytical solutions - Document data sources and methodology to enable self-service for business users - Help shape the future of our analytics practice — contributing to the team's transition toward AI-powered, conversational data experiences that are replacing traditional dashboardsAbout the teamThe Retail Supply Chain Initiatives ...

government.Purpose of the positionThe Data & Impact Senior Officer will support in the delivery of P4F systems strategy, PMIS development, insight and analytics, security and compliance. They will work closely and collaboratively with the P4F teams and across Palladium to understand user needs and assist colleagues in the design and implementation … processes and automations.Ensure regional data processes remain aligned and consistent.Conduct regular compliance assessments of programme tools.Provide technical support for data quality.Perform impact and operations analytics and visualisation for P4F.Develop and maintain a strong understanding of P4F's end-to-end data lifecycle, from data generation and collection through to reporting ...

system enhancements, from business requirements through testing, deployment, and adoption. Act as the primary business interface between regional Business Metrics leads, Operations stakeholders, Data & Analytics teams, and IT delivery teams. Facilitate global stakeholder forums and working groups to prioritize enhancements, communicate updates, resolve issues, and align on reporting requirements. Drive … KPIs, reporting capabilities, and management reporting requirements within the DPM Suite. Coordinate reporting enhancements and new capabilities by working with business stakeholders, Data & Analytics teams, and IT delivery teams through requirements gathering, testing, deployment, and release activities. Support global communication, training, onboarding, and change management activities to increase adoption ...

efficiency and high service levels for internal and external stakeholders.What you'll be doing...Work with business stakeholders to identify opportunities where AI and advanced analytics can add value, and maintain an AI opportunity pipeline with value, risk and dependencies.Facilitate workshops, interviews and discovery sessions to elicit business problems, desired outcomes … Mathematics or a closely related discipline.At least 7 years’ experience as a Business Analyst, ideally with direct involvement in AI, machine learning or advanced analytics projects.Strong experience in requirements elicitation, analysis, process mapping and documentation in complex, multi‐stakeholder environments.Proven experience working with data‐focused teams (data scientists, data engineers ...

Data Engineer you will play a key role in developing, building and maintaining scalable data intensive systems, pipelines and platforms that power analytics, operational systems, and AI-driven products. This role combines full-stack or backend software engineering with modern data engineering, requiring someone with a broad skillset … support decision making. Continuous Improvement & Collaboration : Collaborate with internal and external stakeholders to streamline data accessibility and usability. Drive innovation by adopting advanced analytics technologies and methodologies. Cloud infrastructure : Deploy cloud-native solutions using Infrastructure as Code and collaborate on cloud architecture and optimisation About You To be considered ...

organised, accessible, and AI-ready, working closely with data engineers and ML engineers to build robust data pipelines and maintain high data quality for analytics and model development.ResponsibilitiesData Modelling & Schema Design: Develop and maintain data models (conceptual, logical, and physical) that define how data is stored and related. This includes … meet AI use cases and evolving business requirements.Data Storage Architecture: Define and implement data storage and management patterns that optimise data retrieval and analytics performance. This involves selecting or designing appropriate storage solutions (e.g. relational databases, NoSQL/graph databases, data warehouses, data lakes) and structuring them for scalability ...

data needsCommunicate complex data concepts in a way that's accessible to non-technical stakeholdersHelp drive adoption of data-driven thinking and self-serve analytics across the organisationWhat we need from you2-4 years of experience in a data analyst, business analyst or similar analytics roleProficiency ...

digital transformation of claims management and support new business initiatives to ensure that MR Claims achieve their Ambition 2030.Key Responsibilities: Data collecting, mapping, analytics and maintaining consistency across all clients’ data as well as making data accessible to internal partnersValidating metrics and data quality to ensure calculations are accurate; defining … prioritising backlogs and coordinating delivery with engineering, data and QAUsing statistical tools to interpret data sets, detecting trends and patterns for diagnostic and predictive analytics; proposing data-driven process improvementsWriting clear, testable acceptance criteria; thinking in test cases, edge cases and auditability for UAT and production readinessIdentifying pragmatic AI/ ...

whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.Our … purpose solutions that improve operational efficiency and data qualityAnalyze workflows and operational datasets to identify opportunities for optimization, scalability, observability, and intelligent automationLeverage programming, analytics, and emerging AI technologies — including agentic AI frameworks and LLM-based solutions — to enhance internal tooling and processesLead internal projects end-to-end, including solution ...

Data Analyst Level 4 apprenticeship develops the skills needed to collect, organise and study data to provide valuable business insight. The principles of data analytics are being applied across just about every industry. Using past-event data, analysts are making important insight-based business decisions and driving customer value across … every team and function, including operations, finance, sales and marketing. At QA we have deep-rooted expertise in Data, Analytics and AI. Our solutions transform the way that individuals use data and enable organisations to make more data-driven business decisions. QA's Data Analyst Level 4 apprenticeship programme enables ...

Bachelor's degree (minimum 2:1 or equivalent) in: Business Information Systems Information Systems Computer Science Software Engineering Systems Engineering Information Technology Business Analytics Data Analytics Management Information Systems (MIS) Business Management (with a technology or information systems focus) Finance (for ERP or Finance transformation roles) Above ...

play a pivotal role in guiding enterprise clients through their data platform modernisation journey, leveraging Microsoft Fabric’s capabilities to enable data democratisation, advanced analytics, and AI-driven insights. As a trusted advisor, you will collaborate with client partners, business stakeholders, and technology teams to define Microsoft Fabric strategies, design … enterprise clients.Strong consulting values with the ability to interface effectively with senior stakeholders.Hands-on experience with SQL, ETL/ELT pipelines, and BI/analytics tools.Deep understanding of the data lifecycle (ingestion, storage, processing, governance, consumption).Ability to link business objectives with technology strategy and execution.Strong problem-solving, analytical ...

pipelines and architectures. You will play a key role in enabling data-driven decision-making by ensuring data is reliable, accessible, and optimized for analytics and machine learning use cases.Key ResponsibilitiesData Engineering & ArchitectureDesign, develop, and maintain scalable ETL/ELT pipelinesBuild and optimize data warehouses, data lakes, and lakehouse architecturesEnsure … transformation, and storageDevelop reusable frameworks and standards for data engineering best practiceData Modelling & WarehousingDesign data models (dimensional, normalized, star/snowflake schemas)Collaborate with analytics teams to support BI and reporting requirementsOptimize data structures for performance and scalabilityCloud & Platform EngineeringBuild and maintain data solutions on cloud platforms (Azure ...

Front Office Stakeholders (Portfolio Managers, Traders, Research Analysts, Quants), and Technology Leaders to define and deliver strategic data capabilities that enable investment decision-making, analytics, reporting, AI, and operational efficiency.This role is ideal for someone who combines deep investment domain knowledge with strong analytical, architectural, and technology skills. You will … across the organization. You will have the opportunity to influence strategy, architecture, operating models, governance, and technology investments that support portfolio management, research, trading, analytics, and emerging AI capabilities. The role offers broad exposure across investment functions while providing a unique opportunity to shape foundational capabilities that will be leveraged ...

enterprise‐wide Oracle EPM platform. You will drive the design and implementation of modern performance management capabilities—including planning, forecasting, consolidation, reporting, and analytics—supporting the organisation’s financial and strategic decision‐making.You will lead a cross‐functional engineering organisation covering product ownership, solution architecture, development, DevOps, and platform operations. … Agile/Scaled Agile (SAFe) environments.* Familiarity with modern cloud data platforms (Azure, Snowflake, Databricks) and BI/reporting tools (Power BI, Oracle Analytics).* Experience improving Finance transformation—close automation, predictive insights, driver‐based planning.**What Success Looks Like*** A stable, high‐performing EPM platform used confidently by Finance ...

data modernisation strategies, transitioning legacy systems to scalable, cloud-native solutions.Design and implement lakehouse architectures that unify data lakes and data warehouses for advanced analytics and AI/ML workloads.Partner with other solution architects to assess solution alignment to the overall architectural blueprint – and drive proposal writing, solution direction, pricing … more of the following technologies:AzureWorking on Microsoft Azure PaaS and IaaS, specifically: App Services, Azure SQL Database, SQL Server, Storage, Synapse Analytics, Purview, Databricks, Azure data Factory, Azure data lake & Fabric. Understand which Azure data focused components to use for which purpose.Microsoft certified architectDatabricksDesign and build high-performance data ...