826 to 850 of 4,263 Analytics Jobs in the UK excluding London

team grow, hiring new team members, supporting their personal development. You will manage a team with Data Scientists and Data Analysts, working together with Analytics Engineers to drive product innovation and you’ll get to see the impact of all your work in the product changes we make.We have … strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data folk the head space ...

Works with Engineering to ensure data dictionaries are accurate and maintained, leveraging AI tooling to support documentation quality, and partners with Analytics teams where deeper analysis is required coordinating and owning the output Proactively drives smaller initiatives and workstreams end-to-end working directly with engineers from requirements through … data-informed decision making across the product team Required Qualifications, Capabilities and Skills Typically, 4 7+ years' experience in a relevant product/analytics role Degree in a quantitative/technical discipline (e.g., STEM, Economics, Statistics) or equivalent practical experience, with comfort working with technical partners and data-intensive problems ...

tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Join our Enterprise Data & Analytics (EDA) Financial Services team and be part of the future of AI consulting. We are redefining how organisations adopt and scale AI, moving beyond experimentation … workstream within someone else’s programme. AI delivered into production, not just piloted. You can describe at least one AI or advanced analytics capability you took from concept into live operational use, including what went wrong along the way and how you dealt with it. Financial Services experience. Experience delivering ...

/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers … expertise to new sales activities We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg.?Python, R, Scala, etc.(Python preferred) Strong proficiency in database technologies eg. ...

made available and used across the business. You will set the direction for how THG gets the most from its data ecosystem, ensuring that analytics teams, data scientists, and business leaders can trust and act on the data they see. You will lead three distinct functions: Engineering (how we build … data engineering, governance and reporting across THG PLC Define how data domains (Customer, Commercial, Operations) should be structured, stored and made available for analytics, data science and AI use cases Own the relationship with Ingenuity on platform and data matters — setting requirements, managing dependencies and ensuring PLC needs are reflected ...

strategic data transformation and process improvement initiatives About the Team The Data Estate team empowers trusted, scalable data capabilities that support Moody’s Analytics products and enable informed decision-making globally. As part of the Data Governance team, this role helps ensure that data is trusted, consistent, well understood … team transforms enterprise data strategy into practical ways of working that make data easier to find, understand, combine, protect, and use for products, analytics, artificial intelligence, regulatory compliance, and business decisions. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race ...

development in an organisation of similar scope and scale to SP Energy Networks, with previous Solutions Application Design experience Significant experience delivering AI, Data Analytics, Machine Learning, or Intelligent Automation solutions both internally and with external vendors Significant experience with Salesforce platform technologies including Agentforce, Einstein AI, Data Cloud, Service … delivery skills with the ability to analyse complex issues, recommend appropriate solutions and manage projects to delivery these Experience working with data platforms, analytics, and AI model deployment Understanding of AI governance, security, ethics, and regulatory considerations Ability to identify and prioritise high-value AI opportunities Excellent communication skills, with ...

facing data products (datasets, metrics, exports, and feeds) with versioning, documentation, and clear ownership. Design data models that fit both operational systems (RDS) and analytics stores (columnar/OLAP), including performance and cost tuning. Ensure data products also power ML workflows: trusted training datasets, feature-ready outputs, and consistent definitions … running cloud systems on AWS and Google Cloud (IaaS level: compute, storage, networking, IAM). Practical experience with both operational databases (RDS-style) and analytics stores (columnar/OLAP), including performance tuning. Strong data modeling ability, including schema evolution, conformed dimensions, and “one source of truth” metric definitions. Track record ...

facilitating the transfer of knowledge, data assets, algorithms, prototypes and best practices into the business. Identify and explore opportunities to apply data science and analytics to improve business performance, customer outcomes and operational efficiency. Stay up to date with emerging research, technological advancements, industry standards and regulatory requirements relevant … Azure Synapse – exposure) used in the development of machine learning, image analysis and software solutions. Demonstrated expertise in machine learning, artificial intelligence and data analytics, gained through academic research, commercial projects, publications or equivalent practical experience. Experience designing, developing and implementing algorithms for image processing, signal processing and data analysis ...

product management, order processing, fulfilment workflows, and customer communications.Apply AI technologies and emerging digital capabilities to improve operational efficiency, customer engagement, personalisation, content generation, analytics, and support processes.Advise customers on e-commerce best practices, digital transformation opportunities, and scalable commerce architectures.Collaborate with Data & Integration teams to define and support … Power Automate, Zapier, Make, Azure Logic Apps, or equivalent.Strong understanding of AI technologies and practical applications within e-commerce, customer service, content generation, automation, analytics, and digital transformation.Excellent customer-facing consultancy and stakeholder management skills.Ability to facilitate workshops, gather requirements, and translate business needs into solution designs.Strong problem-solving ...

product management, order processing, fulfilment workflows, and customer communications.Apply AI technologies and emerging digital capabilities to improve operational efficiency, customer engagement, personalisation, content generation, analytics, and support processes.Advise customers on e-commerce best practices, digital transformation opportunities, and scalable commerce architectures.Collaborate with Data & Integration teams to define and support … Power Automate, Zapier, Make, Azure Logic Apps, or equivalent.Strong understanding of AI technologies and practical applications within e-commerce, customer service, content generation, automation, analytics, and digital transformation.Excellent customer-facing consultancy and stakeholder management skills.Ability to facilitate workshops, gather requirements, and translate business needs into solution designs.Strong problem-solving ...

product management, order processing, fulfilment workflows, and customer communications.Apply AI technologies and emerging digital capabilities to improve operational efficiency, customer engagement, personalisation, content generation, analytics, and support processes.Advise customers on e-commerce best practices, digital transformation opportunities, and scalable commerce architectures.Collaborate with Data & Integration teams to define and support … Power Automate, Zapier, Make, Azure Logic Apps, or equivalent.Strong understanding of AI technologies and practical applications within e-commerce, customer service, content generation, automation, analytics, and digital transformation.Excellent customer-facing consultancy and stakeholder management skills.Ability to facilitate workshops, gather requirements, and translate business needs into solution designs.Strong problem-solving ...

enterprise-wide sourcing data mapping coordination across SAP, Ariba, and related procurement platforms.Process Excellence & Business PerformanceAct as steward for continuous improvement initiatives, process optimization, analytics, KPI governance, and performance reporting to enhance procurement effectiveness, compliance, and operational efficiency.Support Source-to-Pay (S2P) and Procure-to-Pay (P2P) harmonization, including integration … procurement master data governance, data stewardship, data migration, and enterprise-wide data mapping activities across SAP and related procurement platforms.Preferred/We ValueIntermediate analytics capabilities, including proficiency with SQL, Power BI, and data-querying tools to support data validation, reporting, performance management, and decision-making.Deep understanding ...

Contribute to strategic data transformation and process improvement initiatives About the Team The Data Estate team empowers trusted, scalable data capabilities that support Moodys Analytics products and enable informed decision-making globally. As part of the Data Governance team, this role helps ensure that data is trusted, consistent, well understood … team transforms enterprise data strategy into practical ways of working that make data easier to find, understand, combine, protect, and use for products, analytics, artificial intelligence, regulatory compliance, and business decisions. Moodys is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color ...

looking for experienced Senior Data Analysts to join Customer Operations Data & Analytics, specialising in analytical problem solving, experimentation, insight generation and business change support. Customer Operations is evolving rapidly. With Genesys becoming central to our customer journeys and AI Copilot transforming colleague experiences, data is critical in understanding customer behaviour … frameworks. Coach analysts and promote best practice in analysis, experimentation and stakeholder engagement. What We're Looking For You will bring: Strong experience in analytics, insight generation or business intelligence. A proven ability to solve complex business problems using data and structured analytical thinking. Experience supporting or evaluating tests, experiments ...

multi‐country, regulated HR, Payroll, and Time environments, with knowledge of target operating models, shared services, and HR service delivery practices. Data governance and analytics knowledge. Experience defining global data governance, reporting, analytics, and workforce insights strategies that support business objectives and decision‐making. Professional credentials. Relevant certifications such … cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down-to-earth culture that embraces our core values, welcomes ideas ...

SolutionsDesign and deliver end-to-end POCs and POVs that demonstrate business value and accelerate customer adoption.Develop solutions combining IoT, AI/ML, APIs, analytics, and Digital Twin technologies.Present working prototypes to both technical and executive stakeholders.Develop Data Pipelines and IntegrationsBuild streaming and batch ETL pipelines using Python and modern … Deliver multiple customer-facing innovation projects and prototypes.Build solutions that seamlessly connect IoT, AI, APIs, and Digital Twin technologies.Enable real-time visualization and analytics from live operational data.Contribute to customer engagements that progress from concept to production opportunities.Help establish best practices across innovation engineering and solution delivery.Ready to build what ...

helping us move from legacy, on-premise systems to a modern, cloud-first data architecture. Working closely with the BI & Data Lead and an Analytics Engineer, you’ll be the primary architect of our new data platform, supporting our acquisition strategy and turning fragmented legacy data into a competitive … with proven experience refactoring and optimising complex logic Hands-on experience with cloud data warehouses (e.g. BigQuery, Snowflake), ingestion tools (Airflow, Airbyte), and analytics tooling such as dbt and Power BI Strong working knowledge of Git/version control, CI/CD pipelines, and Python for automation Solid understanding ...

able to influence C-suite stakeholders and present confidently to large audiences; Proficiency with modern B2B marketing tools: CRM (Salesforce), MAP (Marketo/HubSpot), analytics (Tableau/Power BI), and content management platforms; Bachelor's degree in Marketing, Business, or a related field; MBA or equivalent advanced degree … advantage; Fluency in English required; additional languages (German, French, Dutch, Spanish, Italian) are highly desirable. Preferred Qualifications Experience in enterprise SaaS, information services, data analytics, or technology platforms; Familiarity with analyst relations (Gartner, Forrester, IDC) and category creation or category capture marketing strategies; Track record of contributing to ABM (Account ...

solutions that integrate machine learning models, event streaming pipelines, and cloud-native services on Azure and AWSArchitect and implement data platforms using Snowflake for analytics and reporting, ensuring seamless integration with broader enterprise data ecosystemsBuild and maintain real-time event streaming architectures (e.g., Kafka, Azure Event Hubs) to power high … experience with machine learning concepts and the ability to integrate ML models into production applications and data pipelinesProficiency with Snowflake for data warehousing, analytics, and building scalable data platformsExperience designing and building event streaming architectures using technologies such as Apache Kafka and Azure Event HubsStrong working knowledge of Azure ...

Senior AI & Data Consultant: an analytical, client-facing consultant who is also a hands‐on builder with AI. You will perform advanced analytics, interface directly with clients, and keep project efforts aligned and on track — and you will do it AI‐natively. Our senior consultants use AI tools to analyze … mentor entry‐level consultants and interns. What We’re Looking For 3–5 years of full‐time work experience, ideally in consulting, data/analytics, marketing, advertising, finance, or tech. Strong analytical skills and experience presenting data‐driven recommendations to clients. Hands‐on AI literacy: regular use of AI tools ...

inconsistency or redundancy 2. Data Architecture & Platform Enablement Support the design of practical, scalable data architecture Ensure alignment between: operational systems, cloud platforms, analytics environments Work closely with IT to ensure that solutions are: technically robust, aligned with business needs 3. Connectivity & Data Standards Define and enforce: data connectivity standards … single, consistent data logic across the programme The experience we're looking for 2-5 years experience in: manufacturing/CPG environment data analytics/data engineering/industrial data Exposure to: supply chain processes (basic understanding) digital or IT-enabled manufacturing environments Experience with data platforms (e.g. Siemens, Azure ...

Hybrid We're looking for an experienced Azure Developer to join a growing data team, designing and delivering scalable cloud-based data integration and analytics solutions. Key Responsibilities Design, develop, and maintain Azure-based data integration solutions. Build and support ETL processes, data pipelines, and application interfaces. Develop cloud-native ...

suite stakeholders Expertise in strategic planning, architecture governance, investment prioritisation, and roadmap management Understanding of customer, marketing, and engagement ecosystems, including how data, analytics, and activation capabilities work together to create measurable business value Excellent communication skills, with the ability to articulate complex architectural concepts to both technical … platforms Experience within Financial Services or another highly regulated industry Knowledge of modern data, cloud, and integration architectures supporting real-time customer engagement and analytics Familiarity with privacy, consent, data governance, and customer data management principles You may be assessed on the key critical skills relevant for success in role ...

solutions. Oversee data modelling, metadata management, and semantic layer design, ensuring the delivery of trusted, reusable, and high-performing data assets that enable consistent analytics and reporting. Provide technical leadership across complex BI initiatives, ensuring solutions meet data governance, privacy, security, and regulatory requirements while maintaining high performance and reliability. … skills, both written and verbal. Degree in a relevant discipline, examples include Computer Science, Information Systems/Management Information Systems (MIS), Data Science/Analytics, software engineering or equivalent demonstrable experience. Advanced proficiency in Microsoft 365 tools (e.g., Excel, PowerPoint, Teams, SharePoint). Professional qualifications in information/knowledge management ...