1,251 to 1,275 of 1,857 Analytics Jobs in London

meet the organisation's specific needs Develop business intelligence reports that can be automated, reused and shared with users directly Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems Build accessible data for analysis Deliver data solutions in accordance with agreed organisational standards that ensure services are resilient, scalable and future-proof Investigate problems … experience with core AWS data services. Key services include: S3 for data lake storage AWS Glue for ETL and data cataloging Amazon Redshift or Athena for data warehousing and analytics Lambda for event-driven data processing. ETL/ELT pipeline development : experience in designing, building, and maintaining robust, automated data pipelines. You should be comfortable with both the theory and … CloudFormation Data modelling and warehousing: Dimensional Data Modeling : Deep understanding of data warehousing concepts and best practices. Experience of, and ability to, transform raw transactional data into well-structured analytics-ready datasets using schemas like the star schema (Kimball methodology) Data Quality & Governance : build trust in data by implementing data validation checks, testing frameworks, and clear documentation within your pipelines More ❯

meet the organisation's specific needs Develop business intelligence reports that can be automated, reused and shared with users directly Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems Build accessible data for analysis Deliver data solutions in accordance with agreed organisational standards that ensure services are resilient, scalable and future-proof Investigate problems … experience with core AWS data services. Key services include: S3 for data lake storage AWS Glue for ETL and data cataloging Amazon Redshift or Athena for data warehousing and analytics Lambda for event-driven data processing. ETL/ELT pipeline development : experience in designing, building, and maintaining robust, automated data pipelines. You should be comfortable with both the theory and … CloudFormation Data modelling and warehousing: Dimensional Data Modeling : Deep understanding of data warehousing concepts and best practices. Experience of, and ability to, transform raw transactional data into well-structured analytics-ready datasets using schemas like the star schema (Kimball methodology) Data Quality & Governance : build trust in data by implementing data validation checks, testing frameworks, and clear documentation within your pipelines More ❯

financial markets experience to lead the design and evolution of its core data platform. The role involves building scalable, reliable data systems supporting risk, P&L, regulatory reporting, and analytics across spot and derivatives trading. You’ll work closely with teams across Front Office, Risk, Finance, Operations and Compliance, taking hands-on ownership of the firm’s data architecture and … with AWS and cloud-native data services. Excellent communication and stakeholder management skills. Desirable Experience with crypto or digital asset data. Familiarity with regulatory and audit reporting. Exposure to analytics layers, BI tools, or observability platforms. More ❯

financial markets experience to lead the design and evolution of its core data platform. The role involves building scalable, reliable data systems supporting risk, P&L, regulatory reporting, and analytics across spot and derivatives trading. You’ll work closely with teams across Front Office, Risk, Finance, Operations and Compliance, taking hands-on ownership of the firm’s data architecture and … with AWS and cloud-native data services. Excellent communication and stakeholder management skills. Desirable Experience with crypto or digital asset data. Familiarity with regulatory and audit reporting. Exposure to analytics layers, BI tools, or observability platforms. More ❯

financial markets experience to lead the design and evolution of its core data platform. The role involves building scalable, reliable data systems supporting risk, P&L, regulatory reporting, and analytics across spot and derivatives trading. You’ll work closely with teams across Front Office, Risk, Finance, Operations and Compliance, taking hands-on ownership of the firm’s data architecture and … with AWS and cloud-native data services. Excellent communication and stakeholder management skills. Desirable Experience with crypto or digital asset data. Familiarity with regulatory and audit reporting. Exposure to analytics layers, BI tools, or observability platforms. More ❯

financial markets experience to lead the design and evolution of its core data platform. The role involves building scalable, reliable data systems supporting risk, P&L, regulatory reporting, and analytics across spot and derivatives trading. You’ll work closely with teams across Front Office, Risk, Finance, Operations and Compliance, taking hands-on ownership of the firm’s data architecture and … with AWS and cloud-native data services. Excellent communication and stakeholder management skills. Desirable Experience with crypto or digital asset data. Familiarity with regulatory and audit reporting. Exposure to analytics layers, BI tools, or observability platforms. More ❯

/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions Stay up-to-date … Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly in More ❯

/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions Stay up-to-date … Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly in More ❯

/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions Stay up-to-date … Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly in More ❯

/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions Stay up-to-date … Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly in More ❯

for infrastructure design , governance, and compliance frameworks. Oversee reporting and insights across Power BI and Omni (a modern BI tool similar to Looker), defining and standardising KPIs. Drive predictive analytics and machine learning initiatives, such as customer lifetime value and propensity modelling. Partner cross-functionally to support commercial teams - hospitality, retail, fan engagement, digital, and finance. Key projects on the … data tooling About you Proven leadership of data teams in modern cloud environments. Skilled in stakeholder management and translating data into commercial action. Experienced across data strategy, architecture, and analytics delivery. Comfortable working hands-on where needed, but equally confident shaping long-term direction. Ideally, you bring a fresh perspective from outside football . The setup Hybrid: 4 days per More ❯

DBA activities, alongside development & coding including PowerShell and service automation Development and testing of our software (in house built) Development and testing of our Power BI and Python-based analytics solutions Key skills and experience: Minimum 2:1 degree (or equivalent) in an IT, Engineering, Science or Mathematics You have a customer-oriented mentality, wanting to readily engage with the … to better understand their needs and functional outcomes You can cope with conflicting and changing priorities and have strong and proactive communication skills Desired Skills: Coding skills and data analytics knowledge - SQL would be ideal Computing terminology This is a real opportunity to join the company at the start of its journey with the obvious implications for growth, development and More ❯

data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while … purpose of credit analysts workflows. Drive discovery and prioritisation efforts to improve data robustness, annotation accuracy, and overall quality across datasets used for model evaluation and enhancements. Leverage data analytics and insights to uncover trends, identify gaps, and inform annotation methodologies that enhance model performance and user trust. Tackle complex annotation challenges with thoughtful solutions while enforcing strong data governance More ❯

we are hiring for Technical Data Architect location: Central London Type : Permanent Hybrid role (2-3 days from client location) We are seeking a highly skilled TechnicalData Architect- with expertise in Databricks, PySpark, and modern data engineering practices. The ideal More ❯

Principal Data Engineer - Core Systems Team Hybrid in London/Remote within UK The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't More ❯

knowledge and best-practices with clients, as well as internally Skills & Experience: Must have experience in energy, shipping or in the wider commodity/financial/trading or data & analytics sector Have experience in Customer Success, with proven record of partnering with customers on their needs Client-first mentality and track record of adoption, churn prevention and renewal success Several … success, sales or business development role (B2B SaaS experience a plus) Strong relationship building and relationship management skills First-class communication skills - verbal and written Experience using customer success analytics tools, including CRM systems; experience using data to inform decisions and with a measurement-orientated approach It would be great if you also: Have excellent engagement and influencing skills with … makers Have exceptional organisational skills, communication and active listening skills Have strong business acumen and problem-solving skills Are data-minded with an excellent ability to manipulate and organise analytics for decision making. An understanding of Python in business use, APIs, integration processes would be a bonus. Are results orientated with the ability to prioritise multiple objectives and work effectively More ❯

be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description What it's all about - Visa Consulting and Analytics (VC&A) drives tangible and impactful results for Visa's network clients, including financial service providers, merchants, and fintech companies. Drawing on our expertise in strategy consulting, data analytics, brand More ❯

Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product modules for scalable … driven roadmaps aligned to commercial strategy and client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to translate More ❯

Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product modules for scalable … driven roadmaps aligned to commercial strategy and client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to translate More ❯

Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product modules for scalable … driven roadmaps aligned to commercial strategy and client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to translate More ❯

Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product modules for scalable … driven roadmaps aligned to commercial strategy and client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to translate More ❯

be the world's number one travel ally. (Ambitious? Yes, but, hey, that's what got us here.) Now, we're on the lookout for a Senior Manager, Product Analytics, on a 12 month Fixed-Term basis, to help us bring that vision to even more travellers. About The Role (Hybrid) This is a high-impact role where you'll … lead a team of analysts supporting our Flights vertical - the core of Skyscanner's product. As the most senior analytics voice embedded in this area, you'll be a trusted partner to Product leadership, influencing everything from strategic roadmap decisions to experimentation frameworks and growth bets. With millions of users interacting with your team's work daily, your mission is … engagement. Guide prioritisation, ensure analytical delivery is high-impact, and create an environment where the team is focused, supported, and clear on outcomes. Strategic Partnership Act as the primary analytics partner for Product and Engineering leadership within the Flights vertical. Build strong cross-functional relationships (especially with Engineering and Strategy) to align analysis with business context. Help senior stakeholders make More ❯

wellness retailer in Europe and a globally trusted brand. Our ambition is to become the world's most trusted wellness partner, chosen by over 100 million people worldwide. Our Analytics organisation is structured into five verticals: four embedded analytics areas aligned to key business functions, and a central Business Intelligence team focused on cross-functional reporting and performance enablement. Together … with our Data Engineering and Data Science colleagues, we make data a strategic lever to achieve H&B's goals. As a Senior Analyst in the Core Business Analytics team, you'll support the Property, Format, and Space & Range functions, using data to optimise our store footprint, layout strategy, and space performance. You'll partner closely with stakeholders across Property … functionally with BI Developers, Embedded Analysts, and Commercial teams to deliver end-to-end data products. Mentor mid-level analysts and contribute to capability-building across the Core Business Analytics team. Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool. Location:This is a hybrid role, with 2 days per week expected in either our London or More ❯

Strategic Analytics Manager London Negotiable An opportunity to lead a team in using insight to drive the business agenda The job. Proactively identifying risk and opportunities to drive and deliver commercial and customer focused outcomes. Driving the wider information business strategy agenda through leveraging our data to create value for customers, colleagues, the community, and the company. Responsible for influencing … strategy and develops a robust working relationship with offshore teams. Responsible for heading initiatives to improve the accuracy, availability, granularity, and coverage of data. Your background. Proven experience in analytics, data science, or AI leadership roles. Good strategic thinking and ability to align decision intelligence with business goals. Excellent stakeholder management and influencing skills at senior leadership level. Advanced knowledge … of analytics methodologies and data science techniques. Demonstrated experience translating complex analytical insights into actionable business recommendations. Experience leading and developing high-performing technical teams. Project management experience for complex analytical projects. More ❯

UK - Flexible Working Options Available About Our Client: Our client is a prestigious financial institution located in the heart of London. They specialize in providing innovative financial solutions and analytics to support decision-making processes across various business units. With a commitment to data-driven strategies, they are seeking an Entry-Level Data Analyst to join their analytics team. This … The Entry-Level Data Analyst will play a key role in analyzing financial data to support business decisions. Ideal for recent graduates or individuals with initial experience in data analytics, this position offers a unique chance to develop expertise in financial analytics while working in a supportive environment that fosters growth and learning. Responsibilities: Assist in collecting and processing financial … to understand their data needs and support them with actionable insights. Participate in special projects, applying analytical methods to solve unique financial challenges. Commit to continuous learning in financial analytics, tools, and best practices to enhance data analysis capabilities. Qualifications: Bachelor’s degree in Finance, Economics, Statistics, Mathematics, or a related field. Strong foundational knowledge of data analysis, with a More ❯