426 to 450 of 2,952 Analytics Jobs in England

GDPR, industry regs). Lead and coordinate data SMEs across business units, fostering collaboration and alignment. Partner with IT to design a unified data infrastructure and select the right analytics tools. Drive data quality initiatives, setting ownership and standards for key datasets. Hire, mentor, and upskill data professionals across the organisation. Manage project pipelines, ensuring resources are prioritised for maximum More ❯

GDPR, industry regs). Lead and coordinate data SMEs across business units, fostering collaboration and alignment. Partner with IT to design a unified data infrastructure and select the right analytics tools. Drive data quality initiatives, setting ownership and standards for key datasets. Hire, mentor, and upskill data professionals across the organisation. Manage project pipelines, ensuring resources are prioritised for maximum More ❯

cross-functional teams. 🧠 Tech Stack Familiarity AI/Automation: Conversational AI platforms, LLMs, agentic AI, RPA tools. Cloud: AWS, Azure, or Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics and reporting tools. 🎓 Preferred Experience & Certifications Background in Presales, Solutions Consulting, or Technical Architecture. Experience in AI-enabled customer experience transformation. Degree in Computer Science, AI, or related field (or More ❯

cross-functional teams. 🧠 Tech Stack Familiarity AI/Automation: Conversational AI platforms, LLMs, agentic AI, RPA tools. Cloud: AWS, Azure, or Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics and reporting tools. 🎓 Preferred Experience & Certifications Background in Presales, Solutions Consulting, or Technical Architecture. Experience in AI-enabled customer experience transformation. Degree in Computer Science, AI, or related field (or More ❯

/CD systems to enhance team workflows Guide team members in code architecture, development standards, and deployment processes Serve as the technical authority for computationally demanding tasks, especially spatial analytics and GIS-based product development Implement scientific research findings around Integrated Pest Management (IPM) into production-ready code Collaborate with our Engineering department to align code design, versioning strategies, and More ❯

lead a significant data re-architecture project, with the autonomy to make the critical data architecture decisions, laying the foundations that will empower the entire business, from product and analytics through to customer intelligence and commercial growth. You'll collaborate with the business and Data Analysts to expand on and re-engineer the data pipelines, building new scalable services within More ❯

brand ambassador. What We're Looking For 8-12 years of experience in business development, commercial strategy, partnerships, or enterprise sales. Background in consumer insights, product research, or data analytics - ideally with experience at firms such as Nielsen, Ipsos, GfK, or similar. Proven success in outbound sales execution and CRM-driven pipeline management (HubSpot, Salesforce, etc.). Strong track record More ❯

writing Statements of Work (SoWs), proposals, and technical bid responses. Ability to collaborate with technical SMEs and delivery teams to validate feasibility and shape solutions. Strong grasp of data analytics concepts and how they apply to client solutions. Desirable: Exposure to AI use cases in business or public sector. Experience with frameworks and procurement portals (e.g., G-Cloud, CCS, Tussell More ❯

be the right fit if you're looking for: A purely hands-on technical role without strategic or client-facing responsibilities A role focused on data science or theoretical analytics More ❯

synthesize insights to drive business value Support data management standards and policy definition including synthesizing and anonymizing data Develop and maintain data engineering best practices and contribute to data analytics insights and visualization concepts, methods and techniques Perform unit/system testing to debug code/data/business logic issues during development phase Communicate with Project lead and other More ❯

ensuring the integrity, security, and quality of HR data. Prepare statutory and operational reports, including HESA, Gender Pay, Equal Pay, Race Equality, and Student Staff Ratios. Provide accurate data analytics to inform workforce planning, organisational design, and university-wide projects. Collaborate with HR and IT colleagues to integrate management information into regular reporting and develop key performance metrics. Manage system More ❯

impact product features. Collaborate with engineering, design, and commercial teams to ensure smooth, agile delivery. Own backlog management, sprint planning, and release schedules. Champion a data-driven approach, leveraging analytics, user feedback, and market insights to shape the roadmap. Conduct user research to uncover insights that influence product direction. Present product updates and insights to senior stakeholders with clarity and More ❯

help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We invest in people and new advanced technologies to unlock More ❯

innovate and navigate regulatory and governance challenges along the way and work closely alongside other specialist technology teams in IT Consulting such as our CIO Advisory, Cyber and Data Analytics teams as well as our wider Tech Risk teams in Financial Services and Corporates. Our team is committed to helping our clients to develop and deliver key UK public services More ❯

innovate and navigate regulatory and governance challenges along the way and work closely alongside other specialist technology teams in IT Consulting such as our CIO Advisory, Cyber and Data Analytics teams as well as our wider Tech Risk teams in Financial Services and Corporates. Our team is committed to helping our clients to develop and deliver key UK public services More ❯

innovate and navigate regulatory and governance challenges along the way and work closely alongside other specialist technology teams in IT Consulting such as our CIO Advisory, Cyber and Data Analytics teams as well as our wider Tech Risk teams in Financial Services and Corporates. Our team is committed to helping our clients to develop and deliver key UK public services More ❯

innovate and navigate regulatory and governance challenges along the way and work closely alongside other specialist technology teams in IT Consulting such as our CIO Advisory, Cyber and Data Analytics teams as well as our wider Tech Risk teams in Financial Services and Corporates. Our team is committed to helping our clients to develop and deliver key UK public services More ❯

innovate and navigate regulatory and governance challenges along the way and work closely alongside other specialist technology teams in IT Consulting such as our CIO Advisory, Cyber and Data Analytics teams as well as our wider Tech Risk teams in Financial Services and Corporates. Our team is committed to helping our clients to develop and deliver key UK public services More ❯

Engineering or a related field. A solid understanding of Machine Learning and Deep Learning methods, along with their mathematical foundations. At least 5 years of professional experience in advanced analytics, data science, or machine learning. A minimum of 1 year of hands-on experience developing NLP solutions Demonstrated experience with programming languages and frameworks commonly used in machine learning. Mastery More ❯

Overview At IQVIA, we are continuously expanding the boundaries of what's possible in clinical development through advanced analytics, cutting-edge technology, and deep scientific expertise. Within our Research & Development Solutions (RDS) organization, we are enhancing our services with agentic systems-autonomous AI agents that can reason, plan, act, and learn-to further streamline clinical trial workflows and accelerate the More ❯

for stakeholders You should have relevant knowledge and experience in one or more of the following areas: Statistical Modelling, Artificial Intelligence, Machine Learning, Machine Vision, MLOps/LLMOps, Data Analytics, Data Engineering, Data Warehousing, Data Visualisation. Ability to communicate and teach complex technical concepts You will succeed in this space if you have passion to challenge yourself and to continue More ❯

Overview Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in data analytics, problem solving and communication to Citi's Liquidity Management Services team. By joining Citi, you will become part of a global organization whose mission is to serve as a trusted partner to our More ❯

continuously learning and growing in a supportive environment. Responsibilities: Maximising Power BI for business requirements Designing platforms Building robust BI tools Reporting projects Learning and development around data and analytics Desirable skills: No previous work experience is required—just a keen interest in data and a desire to learn! A willingness to understand data, technology, and BI methodologies Good communication More ❯

Sustainability Data domain - vision, roadmap, backlog and outcomes - for data sources, dashboards, metrics and models used to supervise and forecast the Bank's operational pledges Lead all aspects of analytics using MI tools and embed narrative data storytelling in exec ready outputs Act as the primary data partner for Sustainability and Places stakeholders - triaging and prioritising demand Educate and upskill More ❯

biometric authentication or time and attendance solutions is a plus. Experience launching cross-regional campaigns(UK, US, Europe)and adapting messaging for multinational organisations. Experience with Google Ads and Analytics for direct lead generation. Working knowledge of Salesforce. Video editing and creation skills, particularly with Adobe After Effects and Premiere Pro. Experience with customer loyalty or community-building programs. More ❯