101 to 125 of 6,153 Analytics Jobs in England

global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Skills and Competencies 6+ years of experience in Data Engineering, Analytics Engineering, Solution Engineering, or related disciplines within enterprise environments 4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse Platform Strong … Python, Delta Lake, and modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines for scalable analytics and artificial intelligence use cases Proven knowledge of data modeling, data governance, data quality management, and enterprise data architecture principles Experience integrating cloud and software ...

Location: Birmingham Hybrid Working Permanent Full Time Salary: up to £45,000 We're looking for a Data Engineer to join a growing Data & Analytics team, helping to build and develop the data platform that supports reporting, analytics and emerging AI use cases across the organisation. This is a broad … point data is connected at source, through ingestion, transformation and modelling, into the central data platform where it can be used effectively for reporting, analytics and more advanced applications. The environment is centred around the Microsoft data stack, so we're looking for someone with strong experience across either Microsoft ...

ideal candidate will work directly with business stakeholders, report owners, and customers to understand business challenges, challenge requirements constructively, and translate them into actionable analytics solutions. This role requires a hands-on professional who can perform rapid data investigations, build proof-of-concept analyses, and bridge the gap between business … define data models, metrics, and reporting standards. Interpret complex datasets and present clear findings and recommendations to technical and non-technical audiences. Support analytics initiatives on Azure Data Platform technologies, ensuring alignment with business objectives. Drive continuous improvement in reporting, analytics processes, and data governance practices. Required Skills & Experience Technical ...

exciting opportunity has arisen for an experienced Data & Analytics leader to join a well-established, multi-site organisation undergoing continued investment in its data capability. This role is ideally suited to someone who enjoys leading technical teams, driving best practice, and shaping data strategy rather than being solely hands-on. … position is focused on leadership, governance, stakeholder engagement, documentation management, and continuous improvement, with the remainder providing technical oversight and direction across data and analytics initiatives. Working closely with senior leadership, you'll be responsible for building scalable, reliable, and business-focused data solutions while developing the processes, standards ...

Senior Director, Data & Analytics Value Creation We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting … York with 11 officesaroundtheglobe, we are a high-growth, entrepreneurial firmlookingforpeoplewhowantto be part of buildingsomethinggreat. Come make your mark. Practice Description Accordion's Data, Analytics & AI team offers intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex ...

data products, pipelines, and analytical foundations that power business insights, critical business capabilities, and AI-enabled decision‐making. You will work across data engineering, analytics enablement, visualization, and AI/ML engineering, contributing to reliable data pipelines, governed datasets, orchestration frameworks, and data products that enable self‐service analytics … downstream consumption Apply strong SQL, Python, and PySpark skills to transform complex data into reliable, reusable, and performant data products SQL, Data Modelling & Analytics Enablement Create well-modelled, trusted datasets that support reporting, visualization, advanced analytics, and AI/ML use cases Enable self‐service data access and governed consumption ...

proof-of-concept applications from ideas through validation and adoption Experience identifying opportunities to improve operational efficiency through technology and automation Significant experience in Analytics Engineering, Data Engineering, Business Intelligence, Software Engineering or a similar technical discipline Proven experience developing enterprise analytical solutions, automation and reusable technical products Experience working … Language Models (LLMs), including prompt engineering, RAG, vector databases, embeddings and commercial AI platforms (e.g. OpenAI, AWS Bedrock) Experience building scalable data products and analytics solutions Expert Power BI development, including semantic models and Power BI Service administration Expert Python development for data, analytics and automation Experience integrating REST APIs ...

solutions that enable informed decision‐making across the advertising ecosystem. We work in a fast‐paced, complex environment and partner closely with Finance, Accounting, Analytics, and multiple engineering teams to deliver timely, high-impact insights into business performance. As we look ahead, we’re investing in AI‐powered capabilities …/Scala, SQL, Spark, Airflow, and Kubernetes to deliver reliable, high‐performance solutions. You will collaborate with cross‐functional partners across Finance, Accounting, and Analytics to translate complex business requirements into robust technical solutions. The role involves driving data quality and operational excellence across the full lifecycle of data pipelines ...

services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations for the world’s leading corporations. EXL was founded on the core values … role: We’re looking for a highly skilled Azure Databricks Data Engineer to design, develop and deliver cloud-based data integration and analytics solutions within our Retail portfolio . You’ll work across data engineering, modelling and transformation initiatives, building scalable pipelines, optimising performance and ensuring best practices in data ...

better customer experiences and more effective decision‐making. Reporting to the CTO you will lead a team of 8-10 people across Data Engineering, Analytics and AI. You will own the data platform, semantic layer, analytics estate and AI enablement agenda, while working closely with business and technology leaders across … generative and agentic AI use cases across the business. This is a strategic and hands‐on leadership role. You will combine data architecture, engineering, analytics, AI, governance, product thinking and organisational change to create a trusted, scalable and commercially valuable Data & AI capability. Key responsibilities Data & AI Strategy Define ...

exceptional experience for yourself, and a better working world for all. About the team: As part of the Forensics & Integrity Services, our Forensic Data Analytics team provides advanced analytics services to support high profile and sensitive client matters such as real time fraud detection/prevention, fraud investigations, financial crime … disputes, and litigations. Our work involves developing data and analytics solutions to regularly ingest and monitor data to detect regulatory and compliance risks such as fraud, bribery and corruption, money laundering, sanctions breaches, know your customer failings (KYC), price fixing, mis-selling of financial products, employee misconduct, trader, and market ...

Power BI and native AWS services . The successful candidate will be responsible for building, automating, deploying, and supporting scalable data solutions and analytics platforms. You will work across data engineering, cloud infrastructure, DevOps, and business intelligence, ensuring reliable data pipelines and high-quality Power BI reporting. Key Responsibilities Design … reports, semantic models, and datasets . Integrate data from multiple sources into AWS-based data platforms. Implement CI/CD pipelines for data and analytics deployments. Automate infrastructure and data engineering processes. Monitor data pipelines, Power BI refreshes, and production environments. Troubleshoot pipeline failures, data quality issues, and deployment problems. ...

This role will play a critical part in shaping a scalable, secure, and high performing data architecture built primarily on Microsoft Fabric, supporting advanced analytics, reporting, and data-driven decision making across the business. You will bring a strong data engineering background, working hands-on where needed … data architecture, aligned to Cooper Parry's strategy and enterprise standards Defining architectural patterns, principles, and standards for: Data ingestion Data transformation Data modelling Analytics and reporting Acting as a trusted advisor to senior stakeholders on data architecture decisions Microsoft Fabric Platform Leadership Designing and oversee solutions using Microsoft Fabric ...

systems and platforms Building and managing cloud-based data platforms and data lakes Ensuring data quality, governance, security, and performance standards are met Supporting analytics, reporting, AI/ML, and business intelligence initiatives Collaborating with architects, analysts, developers, and business stakeholders to deliver data solutions Automating data workflows and monitoring … experience building ETL/ELT pipelines and integrating complex data sources Proven experience with Microsoft Fabric, including Data Factory, Lakehouse, Data Warehouse, Real-Time Analytics, and data orchestration capabilities Experience designing and implementing cloud-based data platforms using Azure, AWS, or Google Cloud Knowledge of data warehousing, data lakes, medallion ...

business impact. Overview We're seeking an experienced Senior Data Engineer to design, build, and scale modern cloud-native data platforms that enable advanced analytics, AI, and business-critical decision making. This role is ideal for someone who enjoys solving complex data challenges end-to-end, from architecting platforms … data platforms, data products, and scalable data pipelines across cloud environments. Build, optimise, and maintain batch and real-time data processing solutions to support analytics, reporting, machine learning, and AI use cases. Work with clients to understand business requirements and translate them into robust technical solutions. Contribute to solution architecture ...

risks in a timely manner to the Project Manager/Delivery LeadLiaise with different levels of the hierarchy, especially with Development Leads, Quantitative Analytics teams and Risk ManagersAssess feasibility, risks, and data readiness for AI/ML/GenAI opportunitiesWork with data owners, stewards and architects to identify required data … cases comply with data privacy, security and regulatory requirements (e.g. GDPR, sector specific rules),Translate business needs into requirements for AI/analytics solutions (e.g. decision support, predictions, recommendations, GenAI copilots).Work with data scientists/engineers/AI teams to define test scenarios and acceptance criteria that reflect business ...

role combines hands-on data engineering expertise with developing leadership capability and strong underwriting domain knowledge, helping to drive the evolution of data and analytics capabilities across the business. Working closely with Underwriting, Pricing, Data Science and Technology teams, the Data Engineer will deliver reliable, high-quality data products that … harmonise data from a wide range of internal and external sources, including policy, claims, telematics and third-party datasets, to create reliable and analytics-ready data solutions. Develop and maintain data marts, reporting layers and semantic models that provide actionable insights into underwriting performance, loss ratios, portfolio health ...

data modernisation, data governance and AI adoption. Being the sales specialist in the Data & AI domain – data platform, data engineering, data governance and quality, analytics, and applied AI Identify and execute on data-led transformation outcomes with CDW's strategic UK customers, spanning private sector, public sector and regulated industries. … retrieval-augmented AI. Data governance, quality and security – Microsoft Purview, cataloguing, sensitivity labelling, information lifecycle, oversharing remediation and access hygiene ahead of Copilot deployment. Analytics and insight – Power BI, semantic models, self-service analytics enablement and reporting rationalisation. Applied AI – Microsoft 365 Copilot, Copilot Studio and agents, Azure AI/ ...

data modernisation, data governance and AI adoption. Being the sales specialist in the Data & AI domain – data platform, data engineering, data governance and quality, analytics, and applied AI Identify and execute on data-led transformation outcomes with CDW's strategic UK customers, spanning private sector, public sector and regulated industries. … retrieval-augmented AI. Data governance, quality and security – Microsoft Purview, cataloguing, sensitivity labelling, information lifecycle, oversharing remediation and access hygiene ahead of Copilot deployment. Analytics and insight – Power BI, semantic models, self-service analytics enablement and reporting rationalisation. Applied AI – Microsoft 365 Copilot, Copilot Studio and agents, Azure AI/ ...

data modernisation, data governance and AI adoption. Being the sales specialist in the Data & AI domain – data platform, data engineering, data governance and quality, analytics, and applied AI Identify and execute on data-led transformation outcomes with CDW's strategic UK customers, spanning private sector, public sector and regulated industries. … retrieval-augmented AI. Data governance, quality and security – Microsoft Purview, cataloguing, sensitivity labelling, information lifecycle, oversharing remediation and access hygiene ahead of Copilot deployment. Analytics and insight – Power BI, semantic models, self-service analytics enablement and reporting rationalisation. Applied AI – Microsoft 365 Copilot, Copilot Studio and agents, Azure AI/ ...

data modernisation, data governance and AI adoption Being the sales specialist in the Data & AI domain – data platform, data engineering, data governance and quality, analytics, and applied AI Identify and execute on data-led transformation outcomes with CDW's strategic UK customers, spanning private sector, public sector and regulated industries … retrieval-augmented AI. Data governance, quality and security – Microsoft Purview, cataloguing, sensitivity labelling, information lifecycle, oversharing remediation and access hygiene ahead of Copilot deployment. Analytics and insight – Power BI, semantic models, self-service analytics enablement and reporting rationalisation. Applied AI – Microsoft 365 Copilot, Copilot Studio and agents, Azure AI/ ...

Azure Machine Learning models and endpointsPower BI dashboards and dataset refreshesMonitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure Monitor, Log Analytics, and custom alerting. DevOps & AutomationKnowledge in maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, etc. for ADF, Databricks and ML models deployments. Develop … deployment, monitoringPower BI Service: dataset refreshes, access control, report diagnosticsDevOps & AutomationCI/CD: Azure DevOps, GitHub Actions, YAML pipelinesScripting: Python, PowerShellMonitoring: Azure Monitor, Log Analytics, Alerts, Application Insights SQL & Data WarehousingSQL skills for debugging, data validation, and optimizationExperience with Azure SQL DB, or SQL ServerFamiliarity with data modeling concepts ...

solutions, it is essential to partner closely with Finance leadership, Finance Transformation teams, FP&A process owners, wider Engineering teams, Technology Delivery, Architecture, Data & Analytics teams, Security, Operations, and external implementation partners where applicable. This collaboration ensures alignment across strategic priorities, governance requirements, operating models, and business outcomes. Technical/… Desired Skills Experience with Oracle Fusion ERP and Oracle Cloud Enterprise applications. Experience with Workiva, Power BI, Microsoft Fabric, Azure Data Platforms, or similar analytics solutions. Knowledge of AI-enabled planning and forecasting capabilities within Oracle EPM. Experience leading Finance transformation programmes within global financial services organisations. Agile delivery ...

will be responsible for compiling, analysing, and reporting data to support operational services and strategic decision-making. Using your expertise in data management, analytics, and visualisation, you will help transform corporate and patient data into meaningful insights that drive improvements across our organisation. What You'll Do Analyse large datasets … operational and strategic decisions. What You'll Have Significant experience with coding languages such as SQL, Python, DAX, and R. Strong expertise with business analytics tools, particularly Power BI. Proven experience developing dashboards, graphs, and visualisations. Familiarity with version control tools, CI/CD, and DevOps practices. Experience with infrastructure ...

this role, you will work closely with data scientists, analysts, product teams, and business stakeholders to deliver robust, production-grade data foundations that support analytics, automation, and operational decision-making. You will play a key part in shaping our data ecosystem, ensuring reliability, performance, and long-term sustainability. 5+ years … complex integration requirements. Design, extend, and maintain Foundry ontologies, including object types, link types, property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage tracking, and governance frameworks. Monitor pipeline performance and optimize ...