1 to 25 of 3,427 Analytics Jobs in England

post holder will define and deliver a modern, scalable and secure data ecosystem that enables business intelligence, population health management, system integration and advanced analytics across the Essex health and care system. The role will lead the development of enterprise data architecture, interoperability standards and engineering practices, ensuring high-quality … Community: Championing care model redesign that supports community and neighbourhood health. From Analogue to Digital: Enabling clinically driven transformation through digital innovation, data analytics and evidence-based improvement. KEY DUTIES AND RESPONSIBILITIES To deliver on the job description set out above, the job holder will be expected to deliver ...

About the Role: Grade Level (for internal use): 11 Summary Financial Risk Analytics provides products and solutions to financial institutions to measure and manage their market risk, counterparty credit risk, regulatory risk capital and derivative valuation adjustments. Using the latest analytics and technology such as a fully vectorized pricing library … Data stack for scalability, our products and solutions are used by the largest tier-one banks to smaller niche firms. Our risk analytics solutions are available deployed, in the cloud, or can be run as a service so we free up internal resources to focus on business priorities. Financial Risk ...

LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 11 Summary Financial Risk Analytics provides products and solutions to financial institutions to measure and manage their market risk, counterparty credit risk, regulatory risk capital and derivative valuation adjustments. Using the latest … analytics and technology such as a fully vectorized pricing library, Machine Learning, and a Big Data stack for scalability, our products and solutions are used by the largest tier-one banks to smaller niche firms. Our risk analytics solutions are available deployed, in the cloud ...

About The Role Job level: 10 Were looking for a Lead Data Engineer to join our Data Engineering and Analytics practice. In this role, you will: Lead the design, development, management and optimisation of data pipelines to ensure efficient data flows, recognising and sharing opportunities to reuse data flows where … data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data warehousing concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark ...

HEAD OF DATA AND ANALYTICS - hands on role Hybrid working - Watford offices £Remuneration will be dependent on experience. Right to work in the UK required. Job Ref J13163 Interested in joining one of The Sunday Times best places to work in 2026 (Medium Org) in a greenfield' role and building … newly created senior role, based primarily at their Watford office with hybrid working available, reporting to their Finance Principal. The Head of Data and Analytics will lead data strategy, data platform, analytics, workflow automation (and CRM development) ensuring that their data supports better decision-making, operational efficiency and sustainable growth ...

SDLC), from requirements through production support. Ensure solutions are maintainable, supportable, and aligned with enterprise standards. Optimize performance for large-scale data processing and analytics workloads. Stakeholder Management Partner with business stakeholders, product owners, architects, analysts, engineers, and support teams. Act as a trusted advisor on data strategy and platform … methodologies. Experience with Test-Driven Development (TDD) and test automation practices. Knowledge of modern data governance and data quality frameworks. Exposure to AI, analytics, and advanced data platform capabilities. Skills Azure DevOps, Data Validation, Azure Functions, Cloud Data Warehousing, SQL, Python About the company the company is a global digital ...

significant digital transformation is looking to appoint a Principal Data Engineer to play a key role in shaping its enterprise data platform and future analytics capabilities. Joining a growing Data & Integration function, you’ll work alongside architects, product owners, and engineering teams to deliver modern, cloud-based data solutions that ...

Title: Analytics Engineer Location: Manchester (Hybrid, 2-3 days per week in the office) Salary: £60,000 - £80,000 DOE Industry: Financial Services The Opportunity I'm currently working with a growing financial services organisation based in Manchester that is looking to hire an Analytics Engineer to strengthen its data … analytics function. This is an exciting opportunity to join a business investing heavily in its data platform, where you'll play a key role in transforming raw data into trusted, business-ready datasets that support reporting, analytics and strategic decision-making across the organisation. Working closely with Data Engineers ...

looking for a talented Data Engineer to join a growing Product team, helping to drive evidence-based decision-making through high-quality analytics, reporting, and performance insights.This role will play a critical part in measuring product performance, understanding user behaviour, and enabling teams to make smarter decisions that improve customer … deliver actionable insights, and champion a truly data-driven culture. What You'll Be Doing Design, build, and maintain data models, reporting frameworks, and analytics solutions that support product performance measurement. Develop and manage dashboards and visualisations that provide real-time insights into key product and business metrics. Analyse data ...

will: Partner with business stakeholders to understand operational challenges and translate them into data-driven solutions. Gather, document, and analyse business requirements for reporting, analytics, and process improvement initiatives. Develop and maintain dashboards, reports, and KPIs that provide meaningful insight into manufacturing performance. Analyse production, inventory, quality, procurement, logistics … data to measure performance and outcomes. Ensure data governance, quality standards, and reporting accuracy are maintained. The Ideal Candidate Bachelor's degree in Business Analytics, Data Analytics, Computer Science, Mathematics, Engineering, Finance, or a related discipline. Proven experience as a Data Business Analyst, Business Intelligence Analyst, or similar analytical role. ...

Data Engineer - Value & Analytics Location: London or Edinburgh Working pattern: Hybrid working Start date: ASAP Employment type: Permanent Salary: £31,000 - £34,000 (+ £3,300 London Weighting) Level: Mid-Level The Opportunity A leading international organisation specialising in education, cultural relations and global collaboration is looking for a Data … Engineer to join its Value and Analytics function. You will use data to improve digital products and services used by customers and learners worldwide. Working with product, research, marketing and operational teams, you will measure performance, analyse customer behaviour and turn complex information into practical recommendations that improve user experience ...

resilient solutions that support critical business operations and customer trust. The Role You will play a key role in transforming business-critical Data & Analytics function supporting enterprise data platforms, analytics solutions and operational reporting. The role combines technical leadership, Azure Databricks expertise, stakeholder engagement and end-to-end ownership … primary technical interface for business stakeholders, and ensure the stability, scalability and continuous improvement of the data platform while supporting future analytics and transformation initiatives. Key Responsibilities Lead end-to-end operations and support for Azure-based data platforms. Manage and mentor an offshore Data Engineering team. Own operational stability ...

data, platform, application, operations, and business teams, the successful candidate will establish engineering patterns and integration capabilities that support critical business systems, regulatory reporting, analytics, machine learning, and AI-driven solutions. This is a hands-on engineering role requiring strong technical leadership, a passion for automation and operational excellence ...

Title: Senior Analytics Engineer Location: London (Hybrid) Salary: £75,000 - £95,000 DOE Industry: Investment Management The Opportunity I'm currently working with a leading global private markets investment firm, as they continue to invest in and expand their internal data capability. With over €20 billion of assets under management … drive smarter decision-making and long-term value creation. As part of an exciting period of growth, they're looking to hire a Senior Analytics Engineer to play a key role in building out their data function. You'll help shape the firm's modern analytics platform, working across Microsoft ...

will help every person and supplier working with the Met by: - Building a modern and efficient business services directorate, strengthening Finance, Commercial, and Analytics capabilities while removing functional silos. - Designing services around user needs and integrating them seamlessly, regardless of how they’re delivered. - Providing intuitive, one-touch services that … leverage technologies like Oracle Cloud, low-code tools, automation, and modern analytics. As part of this transformation, we are establishing a new Analytics and AI capability that will enable evidence-based decision-making across MBS and beyond. We are now seeking a Analytics & AI Lead to own and grow ...

Data Engineering Lead - Value & Analytics Location: London or Edinburgh Working pattern: Hybrid working Start date: ASAP Employment type: Permanent Salary: £38,000 - £46,000 (+ £3,300 London Weighting) Level: Senior The Opportunity A leading international organisation specialising in education, cultural relations and global collaboration is looking for a Data … infrastructure that provides visibility of portfolio performance, strategic value and benefits realisation across a complex global organisation. Taking ownership of the data engineering and analytics capabilities behind the organisation's Value Dashboard, you will integrate financial, project and operational information into a consistent and automated view of performance. Working with ...

Senior Analytics Engineer - SQL/Azure Data Factory/Fabric - is required by fast growing, international organisation. Job purpose Due to their continued success in their online platform, they are expanding their portfolio to increase their current offerings, adding more products to their corporate intelligence and due diligence solutions. They … have a new and exciting opportunity for a Senior Analytics Engineer to join the team based at their Head Office in Oxford. This opportunity is to work with their Data & BI Team, scoping out new potential developments and redevelopments of their data platform used by their clients. They are striving ...

title: SeniorEngineering Manager (Data Platform & Analytics Engineering) Location: London, Bristol or Edinburgh (Including Hybrid) Reporting to: Head of Data Science & Products This role is based in London, Bristol or Edinburgh and requires existing right to work in the UK. At this time, we are not able to offer visa sponsorship … team, product or business functions within the wider organisation. You will assist your team in the scoping, planning and delivery of data engineering and analytics engineering projects, assuming accountability for their execution, and flexing your time as you see necessary. You will introduce thought‐leadership on how to deliver excellent ...

critical enabler of data-driven decision-making across Columbia Threadneedle Investments EMEA, based in London. The position reports to the Vice President of Columbia Analytics and EDAI AI Strategy and is a senior individual contributor role requiring expertise in Asset Management or Financial Services. This role is specifically intended … experienced analytics professional who has operated within an investment management or broader financial services environment and understands the data, decision-making processes, and regulatory context of the industry. Significant experience partnering with senior stakeholders in Asset Management, Investments, Distribution, Product, Client, and other related functions is essential. The individual acts ...

data-driven recruitment ecosystem. Through redesigning, building, and rolling out a sophisticated Big Data system, our diverse roles span across architecture, project management, data analytics, development, and technical support, giving you the chance to shape a dynamic, next-gen digital infrastructure . You’ll be integral to our mission … public sector with the talent to navigate an evolving digital landscap e. R oleAs part of this mission, t he Data Analyst/Data Analytics Engin eer will play a key role in driving Data Analytics, Reporting, and Insight generation usi ng D OMO and modern data science too ls.Design ...

presenting actionable recommendations to stakeholders. Qualifications and Experience To be successful as a Senior Decision Intelligence Analyst, you should have: Proven experience in analytics, data science, or research roles Excellent analytical thinking and problem‐solving abilities Effective stakeholder management and communication skills Proficiency in analytical methodologies and data interpretation Ability … delivery in an analytical context Understanding of data quality and integrity principles Highly valued skills may include: Experience at a large Consulting firm (preferably Analytics consulting) Experience in the financial services industry Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Knowledge of machine learning and AI applications Familiarity ...

various sources (Finance system, Scorecards, CRM, ERP, PIM, Data Warehouse, etc.). Translate business requirements into technical solutions. Design, build, and deploy BI and analytics solutions. Quality Assurance and Documentation: Conduct testing to ensure quality and accuracy. Document and support developed solutions. Participate in peer-reviews and ensure code quality. … Create and maintain technical documentation and user manuals. Maintenance and Governance: Maintain business analytics platforms and adhere to Data Governance policies. Ensure solutions are accurate, secure, and scalable according to the EMEIA IT Guidelines. Identify and suggest improvement areas. Troubleshoot and resolve defects. Education, Work Experience and Personal Qualities Bachelor ...

value. Youll design, develop and optimise data solutions using Microsoft Fabric and Azure , enabling clients to make smarter decisions, modernise legacy estates and accelerate analytics, reporting, AI and machine learning initiatives. As part of my clients Groups Data & AI practice , youll work across a variety of projects shaping architectures, building … maintainability, security and performance. Collaboration & platform enablement Work closely with Power BI developers , AI specialists , and wider delivery teams to build platforms that support analytics, reporting and operational workloads. Design semantic models and optimise data structures for performance and scalability. Support data governance initiatives including lineage, metadata management and access ...

orchestration Microsoft Fabric experience, including Lakehouse, Data Factory, Warehouse and Spark Knowledge of Azure Data Platform services, including ADF, ADLS Gen2, Azure Synapse Analytics A strong background in Python and SQL development Proven experience building batch and streaming data pipelines Experience implementing Medallion Architecture and Lakehouse patterns Strong understanding ...

optimise scalable ETL/ELT pipelines using modern cloud data integration and orchestration services. Design and implement secure, scalable data lake, lakehouse, and analytics platforms supporting structured, semi-structured, and unstructured data. Establish robust data governance, quality, lineage, metadata management, and security practices to ensure trusted, compliant, and reliable data ...