101 to 125 of 9,157 Analytics Jobs in England

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 expertise in Apache Spark, SQL, 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-as-a-service platforms such as Salesforce, Microsoft Power ...

hackajob is partnering directly with Moody's Corporation to hire for this role. 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 expertise … 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 ...

hackajob is partnering directly with Moody's Corporation to hire for this role. 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 expertise … 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 ...

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 ...

growing team. This is an excellent opportunity to play a key role in the evolution of a modern Azure-based data platform, supporting reporting, analytics, business intelligence, and emerging AI initiatives. You'll work closely with analysts, architects, engineers, and business stakeholders to deliver scalable, secure, and high-quality data … solutions. Key Responsibilities Design, develop and maintain scalable batch and real-time data pipelines. Build and optimise curated datasets for reporting, analytics and business insight. Develop integrations between enterprise systems and third-party platforms. Drive high standards of data quality, governance and documentation. Support deployment, monitoring and continuous improvement ...

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 ...

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 ...

office) This is an exciting opportunity to join a growing AI and data-driven technology business that is building innovative products powered by advanced analytics and machine learning. You will play a pivotal role in shaping scalable data infrastructure, influencing technical direction, and delivering solutions that create measurable business impact. … COMPANY They are a rapidly scaling SaaS organisation that helps businesses unlock greater value from their data through advanced analytics and AI-powered products. Their technology supports enterprise clients across a range of sectors, delivering actionable insights that improve decision-making and commercial performance. THE ROLE As a Senior Data ...

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 ...

Commercial, Marketing and IT teams, the postholder will drive data-led improvements, maximise the value of CRM systems and support the development of advanced analytics capabilities across the organisation. Develop and implement CRM data strategies aligned with business objectives and customer engagement goals. Lead data governance activities, ensuring data accuracy … insights to support customer engagement, marketing effectiveness, commercial performance and strategic decision-making. Collaborate with internal stakeholders and external partners to develop CRM and analytics capabilities and promote best practice in data management. Lead GDPR, data protection and data governance activities, ensuring compliance with regulatory requirements and organisational policies. Support ...

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 ...

Data Analysts who are curious, analytically minded, and motivated to help organisations make better decisions through data‐driven insight. DI&E brings together data analytics, insight generation and experience‐informed decision‐making to enable confident transformation in secure and regulated environments. Our Data Analysts work at the intersection of data … analytically‐minded consultant looking to deepen your technical capability while working in a consulting environment. We welcome adaptable problem‐solvers who want to apply analytics to real‐world challenges and continue to grow their careers. When it comes to living your life, we want your role at AtkinsRéalis ...

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. ...

solving difficult engineering problems and providing guidance to other engineers when needed. What are you joining? The data platform supports important operational, reporting and analytics requirements across a highly regulated Wealth Management business. Microsoft Fabric is becoming central to the environment as the organisation moves away from Azure Synapse. This … join because the platform is still evolving. Youll contribute to the move to Fabric while continuing to develop the pipelines, integrations, models and analytics solutions the business depends on - and youll stay involved after go-live to make sure those solutions work properly in production. What will you be doing ...

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 ...

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 ...

modern cloud data platforms, helping the organisation improve how data is structured, governed, integrated and delivered. The environment includes Databricks, cloud technologies, data lakes, analytics, reporting and emerging AI and machine-learning products. Your responsibilities will include: Defining and evolving data architecture principles, standards and technical roadmaps Designing conceptual, logical … Batch, streaming or event-driven data integration Azure data services, although other cloud-platform experience will be considered Power BI or other reporting and analytics technologies Data governance, lineage, quality and security Technical leadership, design assurance or architectural decision-making You will need to be collaborative and approachable, with ...

collate data from a wide range of internal and external sources Creation of reconciliations of data sets Building analytical models to support reporting and analytics Creation of reports and analytics Experience facilitating workshops and discussions to effectively gather requirements and understand the client’s business challenges Able to produce proposed ...

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 ...

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 ...

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 ...

help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets ...

service creation. The technology department is focused on delivering software solutions that enable rich consumer experiences, from mobile and web applications to advanced analytics and machine learning, to content and engagement management service enablement platforms. Inherent throughout our tech capabilities is deep expertise in the Software Development Life Cycle ...