2,701 to 2,725 of 7,673 Analytics Jobs in the UK

revenue growth, reduce operational risk, and enhance decision-making. Collaborating with engineers, data scientists, and consulting teams, you will help shape new data and analytics offerings while ensuring solutions are robust, compliant, and aligned to organisational goals. You will operate across diverse programmes, bringing clarity to complexity and defining target … data architecture. Key responsibilities: • Lead & Advise on data-enabled business change across complex client environments • Design & Deliver modern data architectures spanning cloud, AI, and analytics platforms • Align & Govern data strategies to organisational goals, risk frameworks, and compliance standards • Validate & Assure complex, high-integrity and business-critical solutions • Define & Implement target ...

various teams, including Business Pricing, Account Experience, and Verification, to ensure a seamless and integrated experience for our business customers.For more information on our Analytics Career Map and levelling structure, click here.What you will be doing:Own the KPI tree and core metrics for business onboarding, ensuring alignment. Help your … maintain data products and dashboards to empower self-service data literacy for PMs, design researchers and engineers.Design LLM-ready data foundations for onboarding analytics, including clean business entities, event schemas, semantic definitions, metadata, retrieval-friendly documentation, and evaluation datasets that make data usable by AI systems without losing governance ...

them to develop data-driven solutions in new domainsAbility to independently own and drive model development while balancing competing demands and deadlinesDemonstrated aptitude for analytics and a passion for solving complex data challengesWhile we advocate using the right tech for the right task, we often leverage the following technologies: Python … being for you and your family.WHAT YOU'LL DOAs a Data Scientist I, you will collaborate with clients and interdisciplinary teams to develop impactful analytics solutions, optimize code, and solve real-world business problems across diverse industries. You’ll grow as a technologist by contributing to cutting-edge projects ...

sitting at the centre of that challange! The role:As our Senior Data Product Manager, you’ll sit right at the intersection of product, analytics, engineering and senior leadership, helping define the data products that power smarter decisions across Liberis. You’ll have real ownership over roadmap, prioritisation and ways … just technically correct.Our Engineering Team is going through an AI-first transformation, rethinking how teams are structured and how they ship. Data, insights and analytics are a crucial part of that journey and you will be a key player in leading, innovating and rapidly improving our posture and capabilities ...

teams, including Business Pricing, Account Experience, and Verification, to ensure a seamless and integrated experience for our business customers. For more information on our Analytics Career Map and levelling structure, click here. What you will be doing: Own the KPI tree and core metrics for business onboarding, ensuring alignment. Help … maintain data products and dashboards to empower self-service data literacy for PMs, design researchers and engineers. Design LLM-ready data foundations for onboarding analytics, including clean business entities, event schemas, semantic definitions, metadata, retrieval-friendly documentation, and evaluation datasets that make data usable by AI systems without losing governance ...

trusted point of contact for regional technology risk matters. Innovation & Industry Awareness: Identify opportunities to drive audit efficiency through automation, AI, and data analytics; stay current with evolving technology trends, regulatory and industry developments. Departmental Initiatives: Lead and participate in department-wide strategic initiatives and special projects. Qualifications 7+ years … ability to present complex technical topics clearly and influence and engage senior stakeholders across global teams. Strong problem‐solving and critical thinking skills; data analytics experience a plus. Strong project management, attention to detail, and self‐starter mentality. Committed to the highest personal and professional standards; integrity‐driven. Bachelor ...

other stakeholder communities. Use insight to improve effectiveness: Establish measures for content quality, usage, findability, adoption and engagement, using colleague feedback, client insight, platform analytics and commercial outcomes to continuously improve the content estate and prioritise future investment. Provide senior functional leadership: Build and lead a high‐performing content capability … experience of implementing, optimising or owning an enterprise sales‐enablement platform, including content structure and taxonomy, governance, permissions, content remediation, migration, user adoption, training, analytics and integration with the wider technology estate. Strong understanding of the disciplines required to make sales‐enablement technology successful, recognising that value is dependent ...

citizens. Ofgem’s Common Data Platform is a unified data foundation that supports secure, automated data processing and enables event-driven architecture, self-service analytics and AI integration. This role sits at the centre of that ambitionOfgem works on behalf of energy consumers to ensure that every household and business … platform engineering, operations and automation capability that underpins Ofgem’s data and AI strategy.Working closely with data governance colleagues, the Head of AI & Analytics and wider digital leadership, you will ensure the platform enables trusted, governed data to be used effectively across the organisation. You will also be responsible ...

have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.Discover more about our Analytics Community in our blog and explore how we use analytics and Data ...

architecture across batch, micro-batch and streaming, with clear boundaries for system to system integrationDefine the architecture for the semantic layer and self-serve analytics infrastructureDefine non-functional standards covering resilience, backup and restore, disaster recovery, observability and operational readinessDefine platform security and privacy architecture in partnership with Cyber Security … technical direction, work across a mature but evolving data estate, and shape how the platform supports the next generation of AI and analytics use cases.**We anticipate a high volume of applications for this role. If you have not received a response within 14 days, please assume your application ...

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. ...

integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions … data our product line emits.Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithmsDelivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable wayImplements database back-up, recovery, and archiving strategy Evaluates and reports on access control processes ...

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 contextEnterprise cost reduction through methods such as Zero-Based BudgetingWhat other qualifications or skills do I need Excellent degree resultsProfessional Finance or Accounting Qualification (e.g. ACA, CIMA, ACCA) with 1st time passes desirable2 ...

interpersonal skills. Exceptional problem‐solving abilities. Education & Experience 4+ years of relevant experience. For internal candidates, people management experience is not‐essential. Clearwater Analytics (NYSE: CWAN) is transforming investment management with the industry’s most comprehensive cloud‐native platform for institutional investors across global public and private markets. While legacy … insights throughout the investment lifecycle. The platform eliminates information silos by integrating portfolio management, trading, investment accounting, reconciliation, regulatory reporting, performance, compliance, and risk analytics in one unified system. Serving leading insurers, asset managers, hedge funds, banks, corporations, and governments, Clearwater supports over $8.8 trillion in assets globally. Learn more ...

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 contextEnterprise cost reduction through methods such as Zero-Based BudgetingWhat other qualifications or skills do I need Excellent degree resultsProfessional Finance or Accounting Qualification (e.g. ACA, CIMA, ACCA) with 1st time passes desirable2 ...

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 contextEnterprise cost reduction through methods such as Zero-Based BudgetingWhat other qualifications or skills do I need Excellent degree resultsProfessional Finance or Accounting Qualification (e.g. ACA, CIMA, ACCA) with 1st time passes desirable2 ...

Industry/SectorNot ApplicableSpecialismIFS - Information Technology (IT)Management LevelManagerJob Description & SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision … making and driving business growth.Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations ...

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 ...

xUnit, Jest or Mocha, CI/CD automation, and quality gates—especially for calculation engines requiring reconciliation and regression coverage. Experience building analytics and reporting with BI and data visualization tools, including payroll reconciliation, compensation analytics, and equity reporting. Exposure to mobile ecosystems (iOS and Android) and API design supporting … xUnit, Jest or Mocha, CI/CD automation, and quality gates—especially for calculation engines requiring reconciliation and regression coverage. Experience building analytics and reporting with BI and data visualization tools, including payroll reconciliation, compensation analytics, and equity reporting. Exposure to mobile ecosystems (iOS and Android) and API design supporting ...

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 ...

RoleWe’re looking for a Data Engineering Manager to help lead and grow our data engineering capability, shaping the platforms and practices that power analytics, insight and AI-driven innovation across the business.This is a great opportunity for someone who enjoys developing people as much as solving complex technical … businessSupporting the design and evolution of our data platform, including pipelines, orchestration, observability, lineage, governance and data qualityPartnering with teams across Product, Engineering, Analytics and Data to understand business needs and translate them into scalable, maintainable data solutionsHelping define and improve data engineering standards around testing, monitoring, documentation, deployment ...

Senior Consultant, you will lead analytics workstreams on client engagements focused on market strategy, ensuring deliverables and client experience are consistently of the highest calibre. You will also provide direction to junior team members, motivating and inspiring them to do their best work.This role is offered on a hybrid basis … expect to be doing during your day to day, although as Ipsos is a dynamic organisation , this may vary as different opportunities arise:Own analytics workstreams end-to-end: scoping, solution design, data planning, timelines and stakeholder alignment for market and brand engagements.Lead market sizing and opportunity assessment: aggregating ...

Senior Manager leads a team of Program Managers, each accountable for specific operational programs that span Customer Success, Tech Ops, Financial Services, Data Analytics, Business Operations and our customer delivery teams.This role serves as the operational backbone of Customer Success—standardizing processes, playbooks, and reporting, driving the Monthly Operating Review … into prioritized improvement initiatives with measurable outcomes.Define cross-functional ways of working between Customer Success and partner organizations including Tech Ops, Financial Services, Data Analytics, Business Operations and our customer delivery teams.Performance Reporting & GovernanceOwn the internal and customer-facing reporting framework for Customer Success—defining cadence, format, narrative standards ...

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 ...