2,176 to 2,200 of 6,172 Analytics Jobs in England

prosper, and, ultimately, helping people fulfil their hopes and realise their ambitions. We are seeking a Data Scientist TheFinancial Crime (FC)Chief Data and Analytics Office (CDAO) role is to manage data products, processes and applications on the Compliance/FCData Lakes and Cloud Environments and define the strategy … this role, you will: Uses a range of data tools (including SQL and python on Hadoop and GCP environments) to perform analysis/analytics tasks on a broad range of dataset to yield insight which informs design of business and technical processes and data assets. Demonstrates traceability of functional ...

modern Lakehouse and AI data platform in London. You will contribute to ingestion, transformation, modelling and data quality, delivering reliable datasets for analytics and AI use cases. Ideal candidates have strong Python or Java, SQL skills, experience with Spark, Kafka and Snowflake, and are comfortable with CI/ ...

environment, define a practical target state and provide a roadmap that enables future execution. What you’ll do Assess Turnitin's current reporting and analytics landscape; Identify the root causes of fragmented reporting and conflicting metrics; Define ownership and governance principles for critical enterprise data; Develop a high-level target … state architecture for enterprise reporting and analytics; Establish standards for enterprise metric definitions and trusted reporting; Recommend an operating model that balances enterprise consistency with functional autonomy; Produce a practical roadmap for future implementation and investment; Facilitate alignment across executive and business stakeholders. What success looks like A shared understanding ...

environment, define a practical target state and provide a roadmap that enables future execution. What you’ll do Assess Turnitin's current reporting and analytics landscape; Identify the root causes of fragmented reporting and conflicting metrics; Define ownership and governance principles for critical enterprise data; Develop a high-level target … state architecture for enterprise reporting and analytics; Establish standards for enterprise metric definitions and trusted reporting; Recommend an operating model that balances enterprise consistency with functional autonomy; Produce a practical roadmap for future implementation and investment; Facilitate alignment across executive and business stakeholders. What success looks like A shared understanding ...

technology to boost their business. This is the role that decides what we report on, not just how we report it. Workday People Analytics is live, and the next chapter is turning that into a reporting function our stakeholders pull from rather than queue for. You'll own the reporting … analytics landscape end to end: what we measure, how it reaches people, and how Workday data connects to the rest of our systems in Power BI. HR Business Partners, Finance and senior leadership should be able to answer their own questions in seconds, and your work is what makes that ...

Cooper Parry is seeking a Data Analyst to join our Data & Analytics team in Derby. You will develop and maintain Power BI dashboards, model data, and translate insights for stakeholders across the business. You’ll work with SQL-based data sources, ETL processes, and modern data platforms to enable data ...

experienced Senior Data Engineer in Manchester to design, develop and optimise a modern data platform. You will enable trusted, secure data for reporting, BI, analytics and AI-driven decision making using Microsoft Fabric, Azure Synapse and Microsoft data integration tools. You will work with stakeholders to translate requirements into scalable ...

plans for Snap’s strategic measurement solutions and third-party (3P) partnersDrive performance improvement across these solutions through learning agenda development, experimental design, causal analytics, and ads efficacy solution prototypingBuild measurement fluency across Marketing Science, Sales, Product, Product Marketing, Partnerships, and other cross-functional teams; influence roadmap priorities and adoption … insights to identify innovation opportunities, make go/no-go recommendations, and guide strategic measurement decisionsLeverage AI tools to develop scalable data and analytics solutions more efficiently while maintaining rigorous standards for accuracy, statistical integrity, and analytical qualityKnowledge, Skills & AbilitiesDeep expertise in the digital advertising measurement ecosystem, including third-party ...

practical target state and provide a roadmap that enables future execution. What you’ll do You will: Assess Turnitin's current reporting and analytics landscape; Identify the root causes of fragmented reporting and conflicting metrics; Define ownership and governance principles for critical enterprise data; Develop a high-level target-state … architecture for enterprise reporting and analytics; Establish standards for enterprise metric definitions and trusted reporting; Recommend an operating model that balances enterprise consistency with functional autonomy; Produce a practical roadmap for future implementation and investment; Facilitate alignment across executive and business stakeholders. What success looks like ...

practical target state and provide a roadmap that enables future execution. What you’ll do You will: Assess Turnitin's current reporting and analytics landscape; Identify the root causes of fragmented reporting and conflicting metrics; Define ownership and governance principles for critical enterprise data; Develop a high-level target-state … architecture for enterprise reporting and analytics; Establish standards for enterprise metric definitions and trusted reporting; Recommend an operating model that balances enterprise consistency with functional autonomy; Produce a practical roadmap for future implementation and investment; Facilitate alignment across executive and business stakeholders. What success looks like ...

expertise, we drive innovation, modernise systems, and strengthen the teams behind them. Our Data & AI practice works with clients across data platforms, data engineering, analytics, cloud transformation, applied AI, and GenAI. We combine strategic advice with hands‐on delivery, helping organisations move from ambition to practical, scalable outcomes. … developing strategic relationships, creating qualified pipeline, and converting opportunities into long‐term client partnerships. You’ll engage with senior decision‐makers across technology, data, analytics, transformation, and business functions, helping them understand how modern data and AI capabilities can address their most important challenges. You’ll work closely with ...

operate scalable data products, pipelines, and analytical foundations that power business insights and AI-enabled decision-making. You will collaborate with data engineering, analytics enablement, visualization, and AI/ML teams to deliver reliable datasets, governed data, and production-ready data products that drive self-service #J-18808-Ljbffr ...

across cloud platforms, focusing on Azure Data Factory and Snowflake. The role emphasises DataOps practices, data product thinking, governance and collaboration with engineering and analytics teams. Power BI is desirable for reporting, with a umbrella‐based engagement at £470 per day inside IR35. #J-18808-Ljbffr ...

Gleeds in Bristol/Cardiff is seeking a Data Developer to join our hybrid team delivering data analytics solutions using Power Apps, SQL and Power BI for major construction and infrastructure projects. You will define requirements, design scalable ETL pipelines, build reports, and prototype business apps, working with directors ...

Cloud Bridge is seeking a Senior Data Engineer to own the design and delivery of a scalable data platform powering analytics and AI across the business. You will lead data modelling, governance, and the implementation of AI-ready architectures, collaborating with CTO and stakeholders to align data strategy with objectives. ...

team of data and AI engineers, scientists,developers, analysts, and architects. Together, you will design and buildmodern machine learning and AI services that support analytics and improveproducts across the business. Main Responsibilities: Buildand support data products within our modern data platform Designand deliver solutions with engineers, scientists and product teams … Developand optimise data pipelines across the analytics platform Integratedata from varied sources with strong quality standards Maintainorchestration, monitoring and performance of data components Improveengineering processes across the wider data community Promotehigh coding and data practice standards Experimentwith emerging data, ML and AI technologies Partnerwith architects on data product designs Workcollaboratively ...

Farringdon, United Kingdom | Posted on 10/12/2025 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description We are seeking a highly skilled SAP Datasphere Testing Consultant … ideal candidate will possess hands‐on experience in validating SAP Datasphere components, ensuring data accuracy, governance, and seamless integration across HR systems and analytics platforms. Key ResponsibilitiesSAP Datasphere Testing Perform end-to-end testing of SAP Datasphere components including: Spaces, Connections, Data Flows, Views, and Analytical Models. Semantic modelling, business ...

Sportradar is seeking a dedicated Business Intelligence Analyst to build interactive analytics, scheduled and ad hoc reports, and automate reporting processes for our client base. You will develop visualisations, model data, and collaborate with stakeholders across Sportradar to drive our BI roadmap. The role focuses on Power ...

finance and technology? At JPMorgan Chase, you’ll help drive innovation in investment decision‐making and client engagement. You’ll work with advanced analytics, enterprise data platforms, and generative AI solutions that power our global business. We offer career growth, mobility, and the opportunity to collaborate with talented professionals across … learning solutions in a regulated enterprise environment Preferred Qualifications, Capabilities, and Skills: Bring front‐office or buy‐side experience, especially in investment research, portfolio analytics, performance attribution, or decision analytics Incorporate unstructured or alternative data into research and production workflows Demonstrate familiarity with Model Context Protocol (MCP) or comparable standards ...

centralized repositories, semantic search, and automated information retrieval systems that organize, store, and provide easy access to critical business data and insights. Integrate advanced analytics models and applications into operational workflows to ensure business value and adoption. Communicate analytical findings and recommendations to senior leadership. Required Qualifications, Capabilities, and Skills … Experience in data science, analytics or a related field. Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment. Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines. Experience with A/B experimentation ...

influence product development and client outcomes. The Company They are a data-driven SaaS business that helps organisations make better commercial decisions through advanced analytics and machine learning. Their products support businesses across a variety of consumer-focused sectors, transforming complex datasets into practical insights. With an expanding client base … GitHub Copilot, Claude, Codex, or similar to improve productivity and code quality Understanding of LLM applications, prompt engineering, and practical AI use cases within analytics workflows Excellent stakeholder management skills with the ability to translate technical outputs into clear business recommendations How to Apply If you're interested in this ...

Python, and collaborate with Engineering, Customer Success and clients on data integrations to deliver trusted insights. The role requires 4+ years in data analytics or related fields, strong SQL/Python skills, and excellent stakeholder management. Bonus points for exposure to dbt, APIs and LookML. #J-18808-Ljbffr ...

Work type: Full time Site: Redditch Categories: IT, Data and Analytics Location: West Midlands About us Halfords is on a journey - building the future of motoring and cycling and looking for people who want to help shape what comes next. We're a place for cocreators: people who want … architectural integrity. Innovation here means practical, scalable solutions, not ideas that stay on whiteboards. About the role As a Data Scientist within our Data & Analytics team, you'll play a pivotal role in helping Halfords make smarter, data-driven decisions across the business. Working on a broad range of initiatives ...

Hearst. By becoming a part of the Fitch Solutions team, you will join a group of colleagues delivering critical data, insightful research, and comprehensive analytics that empower clients to make informed decisions. You'll work in a dynamic environment where innovation is encouraged, and collaboration is key to developing solutions … specialists embed in priority product initiatives while building methods and tools that other teams and products can reuse. We are developing a unified analytics framework that describes what we analyze, how our capabilities relate, and which decisions they support. Our longer-term ambition is to help clients understand how risk ...

Applicant Privacy Notice Team Overview We’re looking for a Solutions Architect to join our growing MTA/MMM Data Science and Analytics team. This role will report in to the Sr Manager - Data Science and Analytics. The team supports cross-functional client engagements across industries, helping clients design … product-led initiatives that drive adoption, change, and innovation. Required Knowledge And Experiences A Bachelor’s degree (or higher) in Data Science and Analytics, Computer Science, Computer Information Systems, Information Technology, Marketing/Business, or related field/experience. 3-5 years of professional and customer facing experience in quantitative ...