2,976 to 3,000 of 6,709 Analytics Jobs in England

priorities (e.g., fund attributes and taxonomy, identifiers, content sources, data quality controls and governance). Align across adjacent platforms and product teams (e.g., CMS, analytics/tagging, site search, personalisation and related digital tooling) to ensure a cohesive end‐to‐end EMEA experience and avoid fragmented delivery. Communicate with clarity … agency or online retailer. Including extensive CMS product knowledge and experience of Adobe Experience Manager (AEM) A working appreciation for UX, SEO and web analytics – understands how different audiences have different requirements with the ability to recognise user needs and layout pages to meet them Be an advocate for digital ...

Analyst. This role involves collecting and analyzing large datasets to deliver actionable insights for business decisions. Ideal candidates will have a background in data analytics, proficient in tools like Python, R, and data visualization software such as Tableau or Power BI. You will also be responsible for maintaining data integrity ...

conduct fit-gap assessments, and provide architectural leadership throughout implementation and transformation programs. The role requires strong expertise in Oracle CX Cloud applications, integrations, analytics, and enterprise architecture best practices. Key Responsibilities Oracle CX Solution Architecture & Design: Lead business and technical discovery workshops to understand current CX processes, business challenges … integrations. Guide configuration requests, enhancements, product customization, administration, and integration design for Oracle Service Cloud. Support solution design for Intelligent Advisor and service effectiveness analytics where applicable. Design and configure incentive compensation plans, plan components, performance measures, rate tables, classification rules, assignment rules, credit rules, incentive formulae, flexfields, web services ...

conduct fit-gap assessments, and provide architectural leadership throughout implementation and transformation programs. The role requires strong expertise in Oracle CX Cloud applications, integrations, analytics, and enterprise architecture best practices. Key Responsibilities Oracle CX Solution Architecture & Design: Lead business and technical discovery workshops to understand current CX processes, business challenges … integrations. Guide configuration requests, enhancements, product customization, administration, and integration design for Oracle Service Cloud. Support solution design for Intelligent Advisor and service effectiveness analytics where applicable. Design and configure incentive compensation plans, plan components, performance measures, rate tables, classification rules, assignment rules, credit rules, incentive formulae, flexfields, web services ...

architecture and integration patterns that power the next generation of our enterprise data platform.You’llshape how data products, APIs, event streams, semantic models, analytics capabilities, and AI-native interfaces work together to deliver secure, scalable, and reusable solutions across the business. You’ll love this role if you enjoy solving … platform solutions that connect data pipelines, data products, the security master, semantic models,lakehousetechnologies, APIs, event-driven services, AI interfaces, and analytics platforms. Establish architectural standards for interoperability, including API design, event contracts, data exchange patterns, versioning, and access controls. Define scalable integration patterns for customers, partners, and enterprise systems ...

architecture and integration patterns that power the next generation of our enterprise data platform.You’llshape how data products, APIs, event streams, semantic models, analytics capabilities, and AI-native interfaces work together to deliver secure, scalable, and reusable solutions across the business. You’lllove this role if you enjoy solving complex … platform solutions that connect data pipelines, data products, the security master, semantic models,lakehousetechnologies, APIs, event-driven services, AI interfaces, and analytics platforms. Establish architectural standards for interoperability, including API design, event contracts, data exchange patterns, versioning, and access controls. Define scalable integration patterns for customers, partners, and enterprise systems ...

Enablement team, you will be supporting Market Risk, Country Risk and Principal Risk, and you'll shape how we leverage artificial intelligence and advanced analytics to solve complex business challenges. You will guide us in exploring, piloting, and implementing transformative AI solutions, including Gen AI, while collaborating closely with Product … encouraging new ideas and maintaining operational excellence. You will help build and mentor a high-performing team focused on deep data understanding and advanced analytics, driving the development of robust tools and solutions using cutting-edge AI/ML techniques, cloud technologies, and enterprise knowledge bases. In this strategic ...

supporting sales, proposals and solution design . Exposure to AI, intelligent automation, GenAI or digital assistants within enterprise processes. Strong understanding of data, integration, analytics and emerging technology. Experience working across Agile, Waterfall or hybrid delivery environments . Consultancy/professional services experience is essential. Desirable Oracle Fusion Applications experience … across multiple functional areas. Oracle AI, Digital Assistant, AI Agents or Oracle Analytics experience. Oracle certifications. Experience leading international or global programmes. Previous UK Government/regulated-sector experience. What's on Offer Up to £95,000 base salary + bonus London, Manchester or Belfast Hybrid working Opportunity to work ...

strategies and roadmaps that achieve the outcomes our clients need. We work alongside organisations to create trusted information foundations that enable digital transformation, advanced analytics, AI adoption and improved business performance across infrastructure, energy and the built environment. Information Management is increasingly critical to ensuring that clients can trust … will contribute to practical advisory outputs, support the consistent management and reuse of information and data assets, and help prepare trusted information foundations for analytics, automation, digital twins, AI and future digital services. You will also contribute to the continued development of the Digital, Data & AI Advisory team through reusable ...

expertise in SAP HCM architecture, integration strategy, and program delivery, with a strong understanding of cross-functional dependencies across Finance, Procurement, SAP Ariba, SAP Analytics Cloud, Concur, and non-SAP systems.The program is currently entering Integration Testing, with delays in customization build and configuration. The candidate will play a critical … Central, Employee Central Payroll, Recruitment, Performance and Goals Management.Ensure robust integration with: SAP Ariba (Procurement), SAP Concur (Travel & Expense), S/4HANA Finance, SAP Analytics Cloud, Upstream and downstream non-SAP systemsOversee configuration and customization of HCM modules, ensuring alignment with business requirements and SAP best practices.Collaborate with technical teams ...

understand business objectives, processes and customer needs. You will be accountable for translating these needs into clear, testable business requirements that Product, Engineering, Analytics and Data Science teams use to design and build new ecommerce products and supporting tools. Throughout development, you will maintain alignment between business stakeholders and delivery … competing priorities and translate agreed objectives into clear business requirements, decision frameworks and measurable outcomes. Establish and coordinate effective collaboration across Business, Product, Engineering, Analytics, Data Science, and Finance teams to resolve shared challenges and ensure business needs are fulfilled. Evaluate strategic trade‐offs, dependencies and wider consequences across customer ...

navigation, content structure, and conversion paths. Conduct user behaviour analysis, customer journey mapping, A/B testing, and conversion optimisation initiatives. Use customer insights, analytics, heatmaps, and performance data to improve engagement and conversion rates. Develop landing page and content optimisation strategies that maximise enquiries, registrations, and sales opportunities. … central subject matter expert for website optimisation, digital growth, SEO, and AI search visibility. Provide guidance, training, and support to stakeholders across international markets. Analytics & Insight Define, monitor, and report on KPIs for website performance, user experience, organic traffic, AI search visibility, lead generation, conversion rates, and business impact. Produce ...

Partner team, you will shape and deliver strategy to build broad use of AWS services—including AI/ML, high-performance computing (HPC), advanced analytics, digital engineering, and manufacturing systems modernization—directly with our ecosystem of defence-sector systems integrators, consulting and technology partners. You will serve as a dedicated … Security Clearance. Basic Qualifications 8+ years of experience in specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) 3+ years of design, implementation, or consulting in applications and infrastructures Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients ...

integration patterns that power the next generation of our enterprise data platform. You'll shape how data products, APIs, event streams, semantic models, analytics capabilities, and AI-native interfaces work together to deliver secure, scalable, and reusable solutions across the business. This role has a hybrid in-office and remote … platform solutions that connect data pipelines, data products, the security master, semantic models, lakehouse technologies, APIs, event-driven services, AI interfaces, and analytics platforms. Establish architectural standards for interoperability, including API design, event contracts, data exchange patterns, versioning, and access controls. Define scalable integration patterns for customers, partners, and enterprise ...

Data Engineer in the Customer domain, you will support the build and maintenance of the pipelines and data assets that power customer analytics at THG. This is one of two Data Engineer roles in the Customer domain — working closely with the Senior Data Engineer and your fellow Data Engineer … deliver a reliable, well-structured customer data layer that enables analytics across our Beauty and Nutrition businesses. What you'll do: Build and maintain data pipelines in the Customer domain under the direction of the Senior Data Engineer Write clean, well-documented SQL and Python code that meets the team ...

innovative technology solutions that support research institutions, universities, funding organisations, and research leaders worldwide. We help our customers make better decisions through trusted data, analytics, workflow tools, and digital products that support the advancement of research and academic excellence. As part of a global product organisation, you will collaborate with … into business outcomes. Excellent stakeholder management skills and the ability to influence at all levels of an organisation. Experience using customer insights, market research, analytics, and experimentation to inform product decisions. Strong communication and presentation skills, with the ability to articulate complex concepts clearly and persuasively. Experience with AI products ...

Data solutions, helping businesses unlock the potential of their data, improve efficiency and embrace emerging technologies. With expertise spanning artificial intelligence, machine learning, data analytics, automation and digital transformation, our client works closely with organisations to identify business challenges and deliver practical, commercially valuable solutions. As their AI and Data … understand their business challenges, objectives and requirements. Qualify opportunities by identifying customer needs, decision-makers, budgets, buying processes and timescales. Identify where AI, data analytics, automation and related technologies could deliver genuine business value. Develop relationships with prospective clients and nurture opportunities through the early stages of the sales process. ...

Lead the firm's Enterprise Data Governance and Stewardship capability, ensuring data is trusted, governed, consistent, and fit for use across business processes, reporting, analytics, client deliverables, data products, and emerging artificial intelligence capabilities. Provide strategic and operational leadership across Data Governance, Data Domain Management and Data Triage, establishing clear … remediation progress. Support Medallion data sign-off and trusted Gold-layer data products through Governance and Triage, and expand these foundations to support analytics, reporting, regulatory requirements and responsible artificial intelligence enablement. Build, develop and lead a high-performing team with the data management, analytical, business and technical skills required ...

IR35 A fast-growing, high-impact international organisation is seeking a hands-on Senior Data Scientist to take ownership of the day-to-day analytics engine and machine learning models for an established international platform across the UK and Canadian markets. Key Responsibilities Maintain, retrain, and troubleshoot existing live … data owner partnering directly with Product, Marketing, Engineering, Business Development, Compliance, and Member Support teams. Essential Requirements 5+ Years Experience: Hands-on Data Science & Analytics within B2C, FinTech, Consumer Tech, or E-Commerce . Core Stack: Advanced SQL & Python (or R) to maintain existing codebases and pipelines. Production ML: Proven ...

IR35 A fast-growing, high-impact international organisation is seeking a hands-on Senior Data Scientist to take ownership of the day-to-day analytics engine and machine learning models for an established international platform across the UK and Canadian markets. Key Responsibilities Maintain, retrain, and troubleshoot existing live … data owner partnering directly with Product, Marketing, Engineering, Business Development, Compliance, and Member Support teams. Essential Requirements 5+ Years Experience: Hands-on Data Science & Analytics within B2C, FinTech, Consumer Tech, or E-Commerce . Core Stack: Advanced SQL & Python (or R) to maintain existing codebases and pipelines. Production ML: Proven ...

CultureFor more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core … looking to take your career to the next level, Verisk offers growth, purpose, and a people-first cultureLet's build something meaningful together! Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment ...

This is a high-visibility delivery role combining programme-level coordination with direct project management responsibility. You will work across multiple AI and Data Analytics workstreams, ensuring delivery remains coordinated, structured and aligned to the wider programme objectives. Alongside this, you will take direct responsibility for the successful delivery … communication and stakeholder management skills. A pragmatic, delivery-focused approach, with the ability to bring structure to complex environments. Experience delivering AI, automation, data analytics or emerging technology projects would be highly beneficial. Why this opportunity This is an opportunity to join an ambitious SMR organisation during a significant period ...

services, and set the technical bar as the alliance scales. Technical Depth Generative AI: Amazon Bedrock, SageMaker, agentic and generative AI application patterns Data & Analytics: Amazon Marketing Cloud (AMC), AWS Clean Rooms, data lakes, analytics pipelines Customer Experience: Amazon Personalize, Amazon Connect, serverless architectures Modern Applications: Lambda, Step Functions … apply them Experience in a Global Systems Integrator, agency, or professional services environment Preferred AWS certifications: Solutions Architect Professional and specialty certifications (ML, Data Analytics) Hands‐on experience with Amazon Bedrock and generative AI implementations Familiarity with Amazon Marketing Cloud (AMC) and advertising technology Prior AWS partner‐company or direct ...

Bachelor's Degree in Computer Science, Engineering, or equivalent practical experience Job Skills Technical Pre-Sales SQL & Database Administration Solution Architecture Customer Onboarding Data Analytics Communication & Presentation Cloud Platforms As a Solutions Engineer at Nexalytica, you will be the technical partner our customers trust from their first demo to their … design and present solution architectures tailored to customer needs. Excellent presentation and communication skills for both technical and executive audiences. Genuine curiosity about data analytics and AI and how they change how people work. We believe the best customer relationships are built by people who are supported, respected, and given ...

crossroads of business and technology, engaging with organisations at all stages of their cloud journey, from infrastructure modernisation and application migration through to advanced analytics and AI/ML workloads. Solutions Architects also take a leading role in creating and presenting technical content and best practices. Our Senior Solutions Architects … technical relationship between customers and AWS, making recommendations on security, cost optimisation, performance, reliability, and operational efficiency. A strong understanding of modern data architectures, analytics, machine learning, and generative AI is essential, as these capabilities are increasingly central to the outcomes our Energy and Industrial customers are pursuing. They work ...