26 to 50 of 9,157 Analytics Jobs in England

within multidisciplinary teams alongside clients, designers, analysts and engineers to deliver modern data solutions. You’ll help design and build data pipelines, models and analytics products, learning from experienced colleagues and applying best practices as you go. This is a hands‐on role where you’ll grow your technical skills … products using SQL, Python and modern data engineering tools. Work with data warehouses, lakehouse platforms and event‐driven patterns, including building semantic models for analytics and visualisation. Contribute to solutions built on cloud data and AI platforms (AWS/Azure), following sound software engineering, testing and CI/CD practices. ...

Time Type: Full time Working Pattern: Hybrid Purpose of the Role Reporting to the Data Analytics Manager, the Senior Data Analyst is a hands‐on individual contributor who helps the team through its shift from platform delivery (post-EDP) toward value‐added analytics and commercial insight. The role contributes … building lasting data partnerships with the underwriting, claims and exposure management teams, so that analytics is embedded in day‐to‐day decision‐making rather than delivered as isolated reports. The role holder will apply and role‐model the technical standards the team works to peer review, version control, documentation, testing ...

Data practice, we work with leading organisations to transform how they manage, govern, and utilise data, creating the trusted foundations required for advanced analytics, machine learning, and emerging AI capabilities. As a Databricks Data & AI Engineer, you'll design, build and optimise scalable data & AI solutions using the Databricks Platform … enabling advanced analytics, machine learning, and AI. Working alongside leading architects, engineers, and AI specialists, you'll help clients modernise their data platforms and create the trusted foundations that power intelligent decision‐making. We're looking for practitioners with a passion for building scalable, high-performance data platforms, strong data ...

support Pricing, Underwriting, Claims and wider business operations. Working with large and complex datasets, you'll develop robust data pipelines and platforms that enable analytics, reporting, machine learning and AI-driven initiatives across the organisation. You'll be responsible for building and maintaining data pipelines using Azure Databricks, Azure Data … optimise cloud-based data solutions within Azure, ensuring high performance, scalability and cost efficiency. Create robust data models and lakehouse architectures to support analytics, reporting and machine learning initiatives. Automate and monitor data workflows using tools such as Databricks Workflows, Delta Live Tables and Azure Monitor. Ensure data quality, integrity ...

support Pricing, Underwriting, Claims and wider business operations. Working with large and complex datasets, you'll develop robust data pipelines and platforms that enable analytics, reporting, machine learning and AI-driven initiatives across the organisation. You'll be responsible for building and maintaining data pipelines using Azure Databricks, Azure Data … optimise cloud-based data solutions within Azure, ensuring high performance, scalability and cost efficiency. Create robust data models and lakehouse architectures to support analytics, reporting and machine learning initiatives. Automate and monitor data workflows using tools such as Databricks Workflows, Delta Live Tables and Azure Monitor. Ensure data quality, integrity ...

Copilot and Claude. Key Responsibilities Data & Platform Engineering Build and evolve a scalable, secure data platform integrating key sources including ticketing systems, CRM, web analytics, event operations, and finance. Design for interoperability and timely data availability (batch and near real‐time) to support both operational reporting and advanced analytics. Assure … adoption and act as local points of contact. Education & Enablement Design and deliver training programmes, knowledge sessions, and documentation covering data literacy, self‐service analytics, and platform usage. Act as a trusted advisor, helping stakeholders understand data concepts, make informed decisions, and define questions that analytics can answer. Establish standards ...

building and maintaining a robust digital data infrastructure. This position supports data users across the business, ensuring high‐quality data extraction, reporting, and analytics capabilities. Working closely with the IT Manager and various business units, you will help strengthen compliance and regulatory risk management through effective management information (MI) reporting … Coming from an IT support function is a bonus Data Analysis and Management Maintain and develop SSIS packages Perform ad-hoc data extraction and analytics based on requirements from business Develop data visualisation for business Work with business to enhance the data available to the data warehouse Assist in testing ...

design and maintain scalable data pipelines, transform and model data, and ensure our data architecture provides a reliable foundation for business intelligence, reporting and analytics across UPP. This is an exciting opportunity to work with cutting-edge cloud technologies while supporting a business that is investing heavily in data-driven … consistency through validation and monitoring processes. Design and maintain data models within Databricks and Azure SQL environments. Transform and prepare data for reporting, analytics and business intelligence. Support Power BI reporting and dashboard solutions alongside the BI team. Manage and optimise Azure and Databricks resources to ensure performance and cost ...

Field Strong Azure data skills, including: Azure Data Factory V2 Azure Data Lake Storage V2 Azure Databricks Azure Function Apps& Logic Apps Azure Stream Analytics Azure Resource Manager skills (Terraform, Azure Portal, Az CLI and Az PowerShell) Strong PySpark, Delta Lake, Unity Catalog and Python skills. Includes ability to write … YAML, etc.) Other languages, such as C#, PowerShell IaC, e.g. Terraform, ARM, Bicep, etc. Test driven development (TDD) Streaming technologies, such as Azure Stream Analytics, Spark Structured Streaming, etc. Power BI Engineering experience Certified SCRUM Developer (CSD) Data Governance tool experience e.g. Purview Machine learning and Artificial intelligence ...

testing data pipelines Building data transformations using Python/PySpark Azure Cloud Version control and CI/CD tools, specifically Azure DevOps Service Analytics and MI products including MS Power BI Data catalogue & governance using MS Purview Knowledge of the following would be desirable: Microsoft server-based data products ...

Opportunity Akkodis is seeking a Senior Data Analyst/Data Analytics Engineer to join a newly established team delivering a major UK public sector digital transformation programme. This is an exciting opportunity to work on a large-scale, data-driven platform that will support critical workforce and talent initiatives. … play a key role in transforming complex data into actionable insights, helping stakeholders make informed decisions through advanced analytics, reporting, and data science. Working at the intersection of data analytics, business intelligence, and modern cloud technologies, you'll help design and deliver innovative solutions that have a meaningful impact ...

values shape the way we consult and define the people we want to join us on our journey. The Head of Data Engineering and Analytics The Head of Data Engineering and Analytics leads the engineering, analytics, and business intelligence capability that turns enterprise data strategy into reliable, scalable delivery. Reporting … Global Head of Data, the role is accountable for building and operating trusted data platforms, pipelines, models, and analytics products that support operational decision-making, client services, digital products, automation, and AI. The role combines technical leadership with strong business engagement, establishing common engineering standards, prioritising demand, and building ...

people who demonstrate curiosity, a willingness to learn and the ability to apply technology to practical challenges. Data & AI Transformation Experience: Experience in data, analytics, AI or digital transformation through consulting, technology, engineering, academia or industry. Ability to translate business challenges and user needs into practical data and AI solutions. … engineering, AI evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted, accessible and AI-ready data, and be curious ...

enterprise businesses — Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Job Description Join our Data Engineering team and help shape the data, analytics and reporting capabilities that support investment oversight, research, portfolio construction and manager selection. You will partner with Coverage Analysts, Investment Strategy & Research and Multi-Manager … enhancements, platform development and analytical needs, while coordinating effectively with colleagues across Boston, New York, London and India. Required Qualifications Prior experience in data analytics, quantitative development or reporting within investment management or financial services, with strong knowledge of investment data, portfolio analytics, performance attribution and risk. Bachelor ...

people who demonstrate curiosity, a willingness to learn and the ability to apply technology to practical challenges.Data & AI Transformation Experience:Experience in data, analytics, AI or digital transformation through consulting, technology, engineering, academia or industry.Ability to translate business challenges and user needs into practical data and AI solutions.Experience working … enabled automationPrompt engineering, AI evaluation and Responsible AIAI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP)Data engineering, pipelines, modelling and governanceAdvanced analytics, machine learning and statistical modellingData visualisation and insight solutionsCandidates should understand the importance of trusted, accessible and AI-ready data, and be curious about ...

enterprise businesses — Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Job Description Join our Data Engineering team and help shape the data, analytics and reporting capabilities that support investment oversight, research, portfolio construction and manager selection. You will partner with Coverage Analysts, Investment Strategy & Research and Multi-Manager … enhancements, platform development and analytical needs, while coordinating effectively with colleagues across Boston, New York, London and India. Required Qualifications Prior experience in data analytics, quantitative development or reporting within investment management or financial services, with strong knowledge of investment data, portfolio analytics, performance attribution and risk. Bachelor ...

Описание Financial Risk Analytics provides products and solutions to financial institutions to measure and manage market risk, counterparty credit risk, regulatory risk capital, and derivative valuation adjustments. Задачи Work with product, financial engineering, data, technology, support, professional services, and client-facing teams to analyze requirements and design robust workflows … market data ingestion, enrichment, validation, transformation, integration, and delivery into Risk Analytics products and services Translate business, analytical, and operational needs into clear specifications, data mappings, process flows, user stories, acceptance criteria, test scenarios, release notes, and operational documentation Support the design and continuous improvement of data pipelines, APIs, integration ...

Head of Data - Hybrid Working | Central Birmingham Competitive Salary + Benefits Lead the Future of Data, Analytics & AI Are you a strategic data leader who still enjoys getting hands-on with technology? Do you want the opportunity to build, shape and lead a modern data function while driving innovation through … analytics and cloud technologies? Our client is looking for an ambitious and forward-thinking Head of Data to join their our growing organisation and help transform the way we use data to drive business performance, client outcomes and future growth. This is an exciting opportunity to join a successful ...

Pigment with its integration with D365 Business Central, working closely with Finance and business stakeholders to build and maintain financial planning models and analytics capabilities. The role would suit someone that has supported a finance function in Business Intelligence and Data Analytics enablement (Power BI is also used … Business Intelligence Developer or IT Finance Systems Analyst Experience using enterprise planning solutions such as Pigment, Anaplan, Adaptive Planning, Oracle EPBCS, SAP Analytics Cloud, TM1 or similar. Strong financial modelling and analytical skills. Advanced Microsoft Excel skills, SQL/Python coding is desirable Excellent communication and stakeholder management skills. Ability ...

Material Management. Champion a data-driven culture by enabling business counterparts to understand, interact with, and leverage data insights effectively through self-service analytics and AI-powered solutions. Oversee the development and continuous improvement of dashboards, Genie AI assistants, and reporting solutions that serve operational performance monitoring, reliability analysis … Product Owner (PSPO). Proven experience (3+ years) as a Product Owner, Product Manager, or in a similar role within a data-driven, analytics, consulting, or change management environment, with a track record of driving organisational adoption of data and analytics. Strong understanding of data analytics, business intelligence, KPI frameworks ...

household brands, stay connected and supported. We are seeking an experienced Senior Power BI Developer to design, develop and support modern business intelligence and analytics solutions using Power BI and other SQL Server technologies. About the role: The successful candidate will combine strong technical expertise with excellent stakeholder engagement skills … Experience with Lakehouse architectures Experience with PowerShell automation Experience with CI/CD pipelines and automated deployments Experience with Python for data engineering or analytics An understanding of data warehousing principles and methodologies is preferable Experience developing ETL/ELT processes Knowledge of Microsoft Fabric and modern data platform technologies ...

tooling and the standards we adopt. As the data platform grows so will the role and there’s scope to move into advanced analytics, and AI-assisted tooling such as Fabric MCP, Fabric IQ, Copilot and data agents. Key Responsibilities Building and maintaining scalable data pipelines, pulling data in from … auditing and governance controls. Keeping technical documentation, data lineage and platform standards in good order. Helping shape where the platform goes next, including future analytics, AI and machine learning capability. Candidate Essential Experience, Qualifications and Skills Commercial data engineering experience (4+ years) SQL (4+ years) Python and PySpark (3+ years ...

Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings … Multi-skilled experience in one or more of the following disciplines: Data Management, Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence. Confident in delivering solutions using Databricks & developing and optimising data pipelines using PySpark within Databricks environments. Proven experience ...

capability and ambition to help us continue developing our data and innovation capability. What you’ll bring Strong hands‐on experience in data engineering, analytics engineering or data platform roles , typically gained over 5+ years, with experience operating at a senior or leadership level. Advanced SQL and Python skills ...

with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data architecture. Power BI development and analytics platforms. Azure DevOps, CI/CD and Infrastructure-as-Code practices. Key attributes: Passionate about automation and continuous improvement. Strong attention to detail ...