1,251 to 1,275 of 6,354 Analytics Jobs in London

improve cost and conversion efficiency. Stay abreast of industry trends and competitor activity to ensure our products remain fit for purpose. Financial forecasting & portfolio analytics: Collaborate closely with the Credit Risk Analytics, Growth and Data Science teams to understand how our products and portfolio are performing at a granular … strategic thinking. Well defined career progression pathways to Manager/Senior Manager for high performers. Your experience Essential: 3+ years of experience in an analytics role in any discipline (e.g. Growth, Credit Risk, Product Analytics, Marketing, etc.) Proficiency in coding - ideally SQL and Python Desirable: Experience in an FCA-regulated ...

Joining as an Actuarial Analyst, you’ll be part of a pioneering Analytics Team dedicated to enhancing processes and systems. This role offers exposure to extensive data projects encompassing data analytics, programming, machine learning and Research and Development, giving you a chance to take a senior role and lead several … chance to collaborate with the global SCOR team, expanding your professional network and experience. Joining in this role you will help support the Analytics team deliver its strategic plan, where we aim to ‘Intentionally improving outcomes for customers, for clients, the market and SCOR’. You will help us deliver ...

Joining as an Actuarial Analyst, you'll be part of a pioneering Analytics Team dedicated to enhancing processes and systems. This role offers exposure to extensive data projects encompassing data analytics, programming, machine learning and Research and Development, giving you a chance to take a senior role and lead several … chance to collaborate with the global SCOR team, expanding your professional network and experience. Joining in this role you will help support the Analytics team deliver its strategic plan, where we aim to 'Intentionally improving outcomes for customers, for clients, the market and SCOR'. You will help us deliver ...

clinical, operational, and research data priorities Design and lead proof of concept engagements covering healthcare use cases including clinical data interoperability, population health analytics, claims and payer data processing, real-world evidence, and AI/ML for diagnostics and care optimisation Act as a subject matter expert on healthcare data … significant exposure to healthcare or life sciences customers Deep understanding of healthcare data use cases including clinical interoperability (HL7/FHIR), claims and payer analytics, population health, realworld evidence, and AI/ML for diagnostics or care optimisation Strong hands-on expertise with cloud data platforms, ideally including Snowflake ...

with senior business leaders, influence strategic priorities, and shape data-driven growth strategies at scale. If you're passionate about solving complex problems, translating analytics into actionable insights, and making a measurable impact in a dynamic environment, this is an exciting opportunity to accelerate your career. As an Associate … experience with a leading management consulting firm, top-tier bank, or private equity firm with a focus on data-driven strategy and advanced analytics developmentDemonstrated expertise in revenue-driven analytics, market sizing, TAM and wallet modeling, and capital markets data analysisStrong analytical and problem-solving skills, including hands-on experience ...

with senior business leaders, influence strategic priorities, and shape data-driven growth strategies at scale. If you're passionate about solving complex problems, translating analytics into actionable insights, and making a measurable impact in a dynamic environment, this is an exciting opportunity to accelerate your career. As an Associate … experience with a leading management consulting firm, top-tier bank, or private equity firm with a focus on data-driven strategy and advanced analytics development Demonstrated expertise in revenue-driven analytics, market sizing, TAM and wallet modeling, and capital markets data analysis Strong analytical and problem-solving skills, including hands ...

enterprise copilots, agentic workflows, RAG, and AI evaluation methods. QualificationsBachelor's or Master's degree in Computer Science, Data Science, Engineering, Information Systems, Business Analytics, Economics, Mathematics, or a related technical or quantitative field.2+ years of experience in data analytics, business analysis, technology enablement, AI implementation, automation, systems configuration … with timely responsiveness and flexibility to work beyond normal business hours when required. Prefered QualificationsPrior experience in commodities, energy, trading, logistics, asset operations, market analytics, or commercial decision-support workflows. Hands-on familiarity with enterprise AI tools such as Claude, ChatGPT/OpenAI, Gemini, Microsoft 365 Copilot, Cursor, or GitHub ...

create innovative data solutions using the latest cloud technologies and frameworks across AWS. Responsibilities Build data pipelines to ingest, process and transform data for analytics and reporting. Develop ETL/ELT workflows to move data efficiently into data warehouses, data lakes and lake houses using open-source and AWS tooling. … forward to hearing from you. Seniority Level Mid-Senior level Employment Type Full-time Job Function Consulting and Information Technology Industries Data Infrastructure and Analytics, Technology, Information and Media, and IT Services and IT Consulting #J-18808-Ljbffr ...

investment banking, securities and investment management firm. The Lakehouse and AI Data Platform team builds data foundations that support the firm’s AI and analytics capabilities. Задачи Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform Refactor and modernise existing data flows … improve delivery, consistency and operational support Ensure data pipelines are production-ready, well tested and operationally supportable Develop raw, refined and curated datasets for analytics, reporting and AI use cases Apply data modelling principles to represent business entities, relationships and historical change Work with consumers to shape usable, documented data ...

management consultancy on a specialist data engagement. They have been engaged by a major UK financial organisation to stand up a small, specialist data analytics team supporting a pilot data programme, with a single aim: sharper regulatory supervision through better use of data. ABOUT THE CLIENT Our client … that business and technical teams actually use. Assess, validate and improve data quality across the programme’s datasets. Support the supervisory intelligence, risk analytics and reporting that feeds regulatory decision-making. Work directly with business and technical stakeholders, translating between the two and keeping the analysis grounded in what they ...

sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information … vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare ...

management consultancy on a specialist data engagement. They have been engaged by a major UK financial organisation to stand up a small, specialist data analytics team supporting a pilot data programme, with a single aim: sharper regulatory supervision through better use of data. ABOUT THE CLIENT Our client … that business and technical teams actually use. Assess, validate and improve data quality across the programme’s datasets. Support the supervisory intelligence, risk analytics and reporting that feeds regulatory decision-making. Work directly with business and technical stakeholders, translating between the two and keeping the analysis grounded in what they ...

experiences. Your role and responsibilities As a Senior Data Scientist at IBM, you will lead the design and delivery of AI solutions, advanced analytics and automation for clients across industries. You will work at the intersection of data science, business strategy, and technology, helping clients unlock value from their data … assets while mentoring junior team members and shaping IBM’s data science capability. Strategic leadership of large end-to-end AI solutions, advanced analytics and automation engagements from discovery to deployment. Act as a trusted advisor to senior client stakeholders, translating business challenges into data-driven solutions and articulating ...

credibility of that evidence is a single point of accountability, and it is yours. You will set the measurement approach, own the analytics roadmap and its prioritisation, and be the senior data voice in a governance structure spanning the client's architects, a global platform vendor, a design team … from background activity Set the canonical metric definitions every party works to, and hold them stable as the single source of truth Own the analytics and insight roadmap: what gets built, in what order, and what is deliberately not built Set the analytical standards, tooling and ways of working used ...

flexible and scalable platform, organizations quickly get a deep understanding of their customers’ whole online journey. We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We’re here to stay—and we’re looking for team members who are excited … deliberate. We invite you to join us in making the complex simpler—for our customers, their customers, and each other. As a Product Data Analytics Director, you will lead and develop a team of four analysts dedicated to our core product for all sales-driven business (another data analytics manager ...

implications of new systems, cloud services, integrations, technology changes and project initiatives. Support the architecture of enterprise data platforms, including data storage, processing, integration, analytics and information exchange capabilities. Maintain traceability between requirements, data, applications, technologies, integrations, work packages, deliverables and implementation milestones. Capture and structure architecture and data requirements … Microsoft Azure cloud architecture and its role within an enterprise technology environment. Understanding of Azure data architecture, including data platforms, storage, processing, integration and analytics services and their relationships with applications, identity, security and networking. Ability to assess the implications of Azure and cloud-based solutions for enterprise data, applications ...

opportunity The AI & Data practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. Your key responsibilities Work as part of a delivery team on complex Data Transformation programs, primarily focusing on data modelling, with additional roles … increase model reuse, version control, and deployment efficiency. Lead the design, development, and optimization of conceptual, logical, and physical data models to support analytics, reporting, machine learning, and transactional use cases. Collaborate with data engineering and architecture teams to ensure models are performance-optimized and aligned with storage, compute ...

implications of new systems, cloud services, integrations, technology changes and project initiatives. Support the architecture of enterprise data platforms, including data storage, processing, integration, analytics and information exchange capabilities. Maintain traceability between requirements, data, applications, technologies, integrations, work packages, deliverables and implementation milestones. Capture and structure architecture and data requirements … Microsoft Azure cloud architecture and its role within an enterprise technology environment. Understanding of Azure data architecture, including data platforms, storage, processing, integration and analytics services and their relationships with applications, identity, security and networking. Ability to assess the implications of Azure and cloud-based solutions for enterprise data, applications ...

Sainsbury’s, data sits at the heart of how we operate, innovate and serve our customers. Our Data & Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury’s powered by industry leading AI algorithms. … data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning. With one of the richest retail datasets I n the UK and a portfolio spanning Sainsbury’s, Argos, Habitat and Nectar, the opportunity to innovate is huge. Here ...

systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI and better business … field Strong technical background covering database replication, cloud infrastructure and data replication technologies with some form of hands on experience Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical ...

with the Marketing, Finance, Trading and Product teams. Understand their core business problems and translate them into robust analytical projects and briefs. Diagnostic & Prescriptive Analytics: Move beyond the dashboard. Use advanced techniques (e.g., causal inference, churn propensity, cohort analysis, customer value modelling) to identify the true drivers of customer acquisition … baseline. You should have experience with large-scale data environments [ e.g. Snowflake, Databricks or BigQuery], visualization tools (e.g. Tableau) and digital analytics [e.g. Amplitude, Adobe or Google Analytics]Trusted Advisor Exceptional ability to "translate" technical findings for C-suite and non-technical stakeholders. You don't just present data ...

ACCA, CPA, CIMA, CFA or an MBA in Finance. Technical Capabilities ERP: SAP S/4HANA, Oracle Cloud, Workday Finance, Microsoft Dynamics Analytics: Power BI, Tableau, Alteryx, Anaplan Automation: UiPath, Automation Anywhere, Power Platform AI/GenAI: Intelligent automation, agentic AI, document processing, advanced analytics Leadership Competencies Executive presence ...

reliable reporting, data quality, master data principles and responsible use of AI where there is a clear business benefit. You will assess where AI, analytics or automation can improve customer experience, colleague productivity, operational efficiency or decision-making, while ensuring solutions remain secure, explainable, supportable and aligned to Fortnum & Mason … environment or leading management consultancy, ideally covering several of the following domains: retail, hospitality, supply chain operations, eCommerce, customer platforms, enterprise applications, data and analytics, integration, cloud services, finance, HR or other central services. TOGAF certification or practical experience using recognised architecture frameworks, design governance, architecture principles and structured decision ...

opportunity with a leading client in Chiswick, West London.## Requirements* 8+ years of experience in solution architecture, with a focus on data management, data analytics, and enterprise-scale applications involving large-scale data systems* Strong product understanding and knowledge of product lifecycle* Expertise in cloud technologies (AWS preferred), microservices architecture … methodologies* Understanding of architecture design patterns and practical application in large-scale systems* Knowledge of enterprise data management frameworks, data warehousing strategies, and data analytics systems* Proficient in .NET development and framework utilisation to build scalable, maintainable, and performant enterprise applications* Skilled in designing and implementing event-driven architectures that ...

elements with a significant impact on the company’s growth. What you’ll do Shape the architecture of data products designed for: data analytics forecasting feature engineering customer behavior analysis integration of new data sources Data Transformation & Governance Lead best practices in: data modelling performance optimization data governance consistent available … batch processing distributed data processing Experience with technologies such as: Kafka Flink Spark Databricks experience is a plus Experience implementing: Data Lakes Big Data Analytics platforms Cloud-based solutions experience AWS preferred Software Engineering Expertise with: RDBMS Data Warehousing Data Modelling Experience with: Redshift PostgreSQL NoSQL databases DevOps & Infrastructure Proficiency ...