1,301 to 1,325 of 3,770 Analytics Jobs in England

Monitor and evaluate product compliance and performance to facilitate continuous iteration and improvement Owns cross-project roadmap and pipeline for multiple Data and Analytics initiatives , aligning delivery with business priorities and capacity. Manages high-level scoping, dependencies, and integration of functional and non-functional requirements into plans. Acts as primary … interface between business stakeholders, Data Office, and Data & Analytics teams; runs decision and sign-off trackers. Ensures adherence to platform management approach, standards, and governance timetables. Clarifies scope and outcomes, maintains backlog of epics/features, and embeds change control into the pipeline. Leads high-level requirements and options analysis ...

decision‐making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems. Your Impact Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Timeseries Forecasting models to solve complex enterprise business and planning challenges. Generative … Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment. Background in forecasting, planning, or analytics applications. Familiarity with Anaplan or similar enterprise planning platforms. Experience with A/B testing and experimentation frameworks for AI features. Contributions to open‐source ...

will work closely with sales, account management, and delivery teams to identify opportunities, shape solutions, and develop compelling propositions across Application Modernisation, Data & Analytics, AI, and Cloud Platform services. The successful candidate will combine strong technical expertise with commercial awareness, helping customers understand how Azure technologies can address business challenges … teams to identify, qualify, and develop Azure-related opportunities. Engage with customers to understand business objectives, technical challenges, and transformation priorities across applications, data, analytics, automation, and AI. Lead customer discovery sessions, workshops, assessments, and architectural discussions. Develop solution strategies, value propositions, and transformation roadmaps aligned to customer business outcomes. ...

various user groups and nurture super users. What You Bring: A Bachelor's degree or 5 years of experience in sales operations, business analytics, or a related field. Strong proficiency with CRM systems, especially Salesforce.com, including administration and customisation. Advanced skills in Excel, PowerBI, SQL, and data visualisation tools. Proven … priorities in a fast-paced environment. Preferred Qualifications: Experience in life sciences, healthcare, or related industries. Advanced certifications in relevant areas (e.g., Salesforce, data analytics) are a plus. Experience in project management and process improvement. Ready to Make an Impact? If you're excited about enhancing sales operations and driving ...

Governance (ESG) and Sustainability experience across following areas: ESG Diagnostic and assessment, ESG Policy, Assurance/Control and KPI Design and ESG Data capture, Analytics and Reporting assessment Demonstrate practical design and delivery of latest Cloud ERP solutions (e.g. SAP S/4Hana, Oracle Cloud, etc.) Practical knowledge … latest technologies (Artificial Intelligence, Robotic Process Automation and Analytics) and the application of these in a Finance context Enterprise cost reduction through methods such as Zero-Based Budgeting What other qualifications or skills do I need? Excellent degree results Professional Finance or Accounting Qualification (e.g. ACA, CIMA, ACCA) with ...

Operations Manager, you will play a critical role in shaping Sportradar’s commercial strategy. This is a high‐impact position at the intersection of analytics, strategy, and execution, where your work directly informs go‐to‐market decisions, revenue forecasts, and investment priorities. You will own and evolve the revenue models … translate complex data into insights senior leaders rely on. This role is ideal for someone who enjoys solving ambiguous problems, building scalable analytics from the ground up, and partnering closely with commercial leaders to drive growth. Own company-wide revenue forecasting — partnering with Sales and CS leadership to build accurate ...

growing client demand for advanced AI and data science solutions. The ideal candidate will have a deep understanding of artificial intelligence, machine learning and analytics, combined with IT consulting experience and domain expertise in financial services. In this role, you will partner with clients to solve complex business challenges … focusing on risk, compliance, and operational efficiency Design and deploy AI-enabled solutions for use cases such as credit scoring, fraud detection, and customer analytics Implement AI governance frameworks including compliance with Basel III, GDPR, and ethical AI practices Lead deployment of MLOps pipelines to transition models from development ...

impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation and evidence-based decision-making across the organisation. This is an opportunity to influence strategic decisions impacting … across one of the world's leading entertainment companies. What You'll Be Doing Develop innovative measurement methodologies across experimentation, causal inference and advanced analytics that improve the quality, reliability and scalability of business decision-making across PlayStation. Design robust measurement approaches across randomised experiments, quasi-experimental methods and observational ...

Team At Elsevier, we help researchers, healthcare professionals, and institutions make breakthrough discoveries and improve outcomes around the world. Through trusted scientific content, advanced analytics, and innovative technology, we empower our customers to solve complex challenges and accelerate progress. Within Elsevier's Life Sciences Solutions business, the Corporate Research Solutions … volunteer Access to extensive learning and development resources Access to employee discounts via Perks at Work About Us A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality ...

ability to translate complex commercial questions into dashboard logic and actionable recommendations. What You Will Be Doing Marketing & Sales Performance Analytics Design, build and maintain a marketing and sales performance dashboard in Looker Studio, underpinned by BigQuery, combining sell‐out sales data, market volume and share data, and campaign activity … halo effects. Work with GFK or other syndicated market data sources to enrich performance analysis with market volume and share context. Customer Experience & Digital Analytics Conduct analysis of the current customer experience, including user behaviour, content and campaign performance and conversion pathways. Benchmark key customer journeys against competitor websites ...

About Us At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands‐on experts who love solving problems … variety of clients, each with a unique challenge. At Oakland, the work we do is in Data Platforms, Data Management, Data Strategy, AI, and Analytics & Insight so an understanding of these data concepts and the associated architecture is very helpful. You will use technologies across the major cloud stacks (e.g. ...

Understanding customer challenges and translating them into technical solutions. Supporting RFPs and solution design. Advising customers on integrations, architecture and implementation approaches. Explaining AI, analytics and data platform concepts to both technical and non‐technical audiences. Working closely with Product, Engineering and Delivery teams throughout the sales cycle. Feeding customer … . AI, Machine Learning or modern data platform knowledge. APIs and systems integration. A consultative mindset. Working knowledge of Python, SQL or modern analytics platforms would be beneficial, but you don’t need to be a software engineer. What Success Looks Like You’ll be someone who enjoys translating technical ...

across the Talent Development portfolio. Identify opportunities to streamline processes and enhance the employee experience through better use of systems and automation. Programme Measurement, Analytics & Continuous Improvement Develop reporting frameworks that measure programme effectiveness, adoption, engagement and business impact. Move beyond activity metrics to evaluate what is working, where improvements … Talent Development team operates, including reducing administrative effort, improving reporting and enhancing programme effectiveness. Explore opportunities to use AI-enabled tools for analytics, insights and process improvement. Bring practical experience of where AI can create value, supported by examples of successful implementation and measurable impact. Help shape responsible and effective ...

synthesize multiple partner inputs into a coherent, prioritized roadmap. Drive product requirements, define technical specifications, and measure performance of Simple Messaging features. Partner with analytics to measure impact, attribution, and inform ongoing investment decisions. Business and Operations: Advocate for innovative Simple Messaging capabilities that serve business goals and customer delight. … functional collaboration. Apply customer centric and agile methods to continually test, learn, and launch new features and enhancements. Collaboration: Partner closely with engineering, design, analytics to innovate and execute the product roadmap. Drive collaboration with high-performing matrix teams to build scalable solutions and deliver impactful results within Apple ...

across the Talent Development portfolio. Identify opportunities to streamline processes and enhance the employee experience through better use of systems and automation. Programme Measurement, Analytics & Continuous Improvement Develop reporting frameworks that measure programme effectiveness, adoption, engagement and business impact. Move beyond activity metrics to evaluate what is working, where improvements … Talent Development team operates, including reducing administrative effort, improving reporting and enhancing programme effectiveness. Explore opportunities to use AI‐enabled tools for analytics, insights and process improvement. Bring practical experience of where AI can create value, supported by examples of successful implementation and measurable impact. Help shape responsible and effective ...

especially around AI/ML model integration, data processing, and analytics. Translate complex technical solutions into clear, strategic product decisions. Use behavioural data and analytics as a key input to decisions and prioritisation, alongside domain expertise and conviction. Research, validation and data Establish usage analytics and behavioural data to track … decisions, judging when user research should lead (usability and workflow fit) and when expertise-led conviction should (what to build), and using data and analytics as inputs rather than the whole answer. Comfortable working hand in hand with engineering and ML teams, with a good understanding of how complex ...

About Us At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands-on experts who love solving problems … variety of clients, each with a unique challenge. At Oakland, the work we do is in Data Platforms, Data Management, Data Strategy, AI, and Analytics & Insight so an understanding of these data concepts and the associated architecture is very helpful. You will use technologies across the major cloud stacks (e.g. ...

quality, experimentation frameworks, and AI evaluation capabilities across Elsevier's next-generation AI platforms and products. We combine expertise in information retrieval, machine learning, analytics, experimentation, and generative AI to improve how users discover, synthesize, and interact with scientific knowledge. Our work spans semantic search, retrieval-augmented generation (RAG), ranking … budget Internal communities and networks Various employee discounts Recruitment introduction reward Employee Assistance Program (global) About the business - A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality ...

integration, data processing, and analytics. Translate complex technical solutions into clear product decisions and communicate the trade-offs to stakeholders. Use behavioural data and analytics as a key input to decisions and prioritisation, alongside domain expertise and conviction. Research, validation and data Use usage analytics and behavioural data to track … decisions, judging when user research should lead (usability and workflow fit) and when expertise-led conviction should (what to build), and using data and analytics as inputs rather than the whole answer. Comfortable working hand in hand with engineering and ML teams, with a good understanding of how complex ...

partner with Product, Engineering, Ops and Compliance to improve control effectiveness, customer experience, and operational efficiency. What you’ll do Work on the fincrime analytics ‘3 body problems’ of risk, friction and cost Nearly every risk based decision needs to balance the inherent risks of onboarding criminals against user friction … communicate insights, trade‐offs and recommendations. Shape the ‘what next’ for product outcomes This is a Lead Analyst role. For more information on our Analytics Career Map and levelling structure, click here Qualifications About you Able to design scalable data models from the backend to our data infrastructure Strong ...

Monzo to Make Better Decisions, Faster. At the core of this mission sits our data platform. We’re great believers in powerful, real-time analytics and empowerment of the wider business. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. We optimise ...

Data Architecture Data Mesh & Data Fabric Data Modelling & Data Integration Data Governance & Metadata Management Enterprise Data Platforms Cloud Platforms (Azure, AWS or Google Cloud) Analytics & AI Architecture Stakeholder Management For more information or to apply directly, please email . I review applications daily and will contact shortlisted candidates as quickly ...

drive differentiation in UCL education and research. Data Architecture within ISD enables UCL’s data-driven transformation. It delivers enterprise data architecture, integration standards, analytics platforms, and AI foundations supporting the UCL’sData Strategy and Digital Strategic Plan. This is a fantastic opportunity to join UCL’s Information Services Division … Fabric, including Lake Houses, Pipelines, Dataflows Gen2, Semantic Models, and governance. A proven track record of designing and governinglarge-scale data and integration solutionsacross analytics and operational systems. Deep understanding ofdata governance, including data quality, metadata management, stewardship, and architectural assurance. Experience designing API‐led and event driven integration architectures. ...

impact, and identifying new opportunities to improve engagement and commercial performance Shape communication and contact strategy through insight-led recommendations, working closely with Analytics to improve customer journeys, lifecycle performance, and overall marketing effectiveness Lead the creation and execution of a robust testing roadmap for the Customer Marketing team, including … customer experience, and messaging, and ensure actions are followed through into measurable outcomes Partner with senior stakeholders across Customer Marketing, Product, Commercial, Finance, and Analytics to align priorities, influence decisions, and drive business impact Own governance of campaign and journey targeting, ensuring a high standard of quality, accuracy, and consistency ...

making. Manage the global marketing budget to maximise commercial return and ensure alignment with agreed financial plans. Use market intelligence, customer insights and performance analytics to continuously optimise marketing investment and effectiveness. Leadership Expectations Create a high-performance, accountable and collaborative marketing culture. Attract, develop and retain exceptional marketing talent. … Proven ability to build high-performing teams, lead organisational change and transform marketing capability. Advanced knowledge of marketing technology platforms including CRM, marketing automation, analytics and AI-enabled marketing tools. Strong analytical capability with experience using commercial and marketing data to drive strategic decisions. Excellent executive communication, stakeholder management ...