151 to 175 of 1,739 Analytics Jobs in London

tooling. The ultimate goal use data to create market leading services and insights for their clients Responsibilities Ownership of the following areas; Data Model, Data Strategy, Data Governance & Quality, Analytics and Insights, Big Data and AI. Hiring and leading a team of data professional as well as managing outsource providers Requirements Experience of working in a Head of Data or More ❯

tooling. The ultimate goal use data to create market leading services and insights for their clients Responsibilities Ownership of the following areas; Data Model, Data Strategy, Data Governance & Quality, Analytics and Insights, Big Data and AI. Hiring and leading a team of data professional as well as managing outsource providers Requirements Experience of working in a Head of Data or More ❯

tooling. The ultimate goal use data to create market leading services and insights for their clients Responsibilities Ownership of the following areas; Data Model, Data Strategy, Data Governance & Quality, Analytics and Insights, Big Data and AI. Hiring and leading a team of data professional as well as managing outsource providers Requirements Experience of working in a Head of Data or More ❯

insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data More ❯

insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data More ❯

insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data More ❯

insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data More ❯

considered suitable you will need the following skills/experience: - Experience of development with the Microsoft Power Platform - Knowledge of Azure Data Factory - Cloud data warehousing experience - BI and Analytics (QlikSense) - Team leadership/management experience - Experience in Agile, Scrum and Prince2 - Exposure to automation/AI More ❯

with a specialist (re)insurance provider in their search for a Lead Catastrophe Analyst focusing on global Property. The successful candidate will play a vital role in providing key analytics that will directly influence the underwriting decision-making process, as well as help guide business strategy and overall view of risk. With significant exposure to, and close communication with, key More ❯

with a specialist (re)insurance provider in their search for a Lead Catastrophe Analyst focusing on global Property. The successful candidate will play a vital role in providing key analytics that will directly influence the underwriting decision-making process, as well as help guide business strategy and overall view of risk. With significant exposure to, and close communication with, key More ❯

with a specialist (re)insurance provider in their search for a Lead Catastrophe Analyst focusing on global Property. The successful candidate will play a vital role in providing key analytics that will directly influence the underwriting decision-making process, as well as help guide business strategy and overall view of risk. With significant exposure to, and close communication with, key More ❯

projects end-to-end, including stakeholder engagement and reporting. Experience with tools such as Lucidchart , Google Suite , and other process design/documentation tools. Preferred Qualifications Degree in Data Analytics, Engineering, Computer Science, or a related quantitative field. Experience working with large-scale datasets . Background in operations or process improvement roles. Familiarity with vendor management or operational tooling support More ❯

campaign strategies Contribute to the development of new tools and automation processes (e.g. AI-powered optimisation, creative tagging) The Candidate 2+ years' experience in a data, media, or digital analytics role Knowledge of programmatic and/or social media platforms Familiarity with creative production or DCO campaigns Strong numeracy and analytical skills with a good grasp of statistics Experience in More ❯

campaign strategies Contribute to the development of new tools and automation processes (e.g. AI-powered optimisation, creative tagging) The Candidate 2+ years' experience in a data, media, or digital analytics role Knowledge of programmatic and/or social media platforms Familiarity with creative production or DCO campaigns Strong numeracy and analytical skills with a good grasp of statistics Experience in More ❯

and reporting initiatives. Required Experience: 5-10 years as a Business Systems Analyst, ideally within the Insurance sector . Strong hands-on experience with SQL , database design , and data analytics . Proven background in Property & Casualty (P&C) Insurance systems and workflows. Experience working in Agile environments with cross-functional teams. Excellent communication skills - able to engage both technical and More ❯

Familiarity with complementary tools such as Power BI, Power Platform, or D365 CE Experience in a consulting or client-facing transformation role Broader knowledge of financial systems or data analytics Why Join? Work in a high-growth area of the business with access to global projects Be part of a collaborative and inclusive team with a strong development culture Enjoy More ❯

Familiarity with complementary tools such as Power BI, Power Platform, or D365 CE Experience in a consulting or client-facing transformation role Broader knowledge of financial systems or data analytics Why Join? Work in a high-growth area of the business with access to global projects Be part of a collaborative and inclusive team with a strong development culture Enjoy More ❯

and reporting initiatives. Required Experience: 5-10 years as a Business Systems Analyst, ideally within the Insurance sector . Strong hands-on experience with SQL , database design , and data analytics . Proven background in Property & Casualty (P&C) Insurance systems and workflows. Experience working in Agile environments with cross-functional teams. Excellent communication skills - able to engage both technical and More ❯

SENIOR DATA ANALYST (12 MONTH FTC) - LONDON UP TO £65,000 THE COMPANY We are working with a membership association on an interim analytics hire. THE ROLE The successful Senior Data Analyst responsibilities will include: Lead on the collection and management of data from members and third-party sources (e.g., market research, surveys, regulatory reports). Analyse and interpret internal More ❯

Extensive experience as a full-stack developer, proficient in multiple languages and technologies AI engineering Hands-on experience with advanced technologies like large language models (LLMs), computer vision, predictive analytics, and data science. 3D modelling/unity and visualisation skills and experience (a nice to have but not essential) Confidence in working with AWS or Azure Capability of contributing across More ❯

distribute KPI dashboards and profitability reports across the European business Manage large and often incomplete data sets, identifying issues and driving process improvements Enhance data inputs, reporting tools, and analytics in collaboration with finance, IT, and operations Develop and deliver Power BI dashboards and reports to translate financial data into actionable insights for non-finance stakeholders Assist with financial evaluation More ❯

Python, SQL, and machine learning frameworks. Experience with cloud platforms (Azure, AWS, GCP) and tools like Databricks, DBT, Airflow, or Terraform. Familiarity with AI/ML applications and modern analytics tooling. Excellent communication skills and ability to work independently in a fast-paced environment. Why Join? Be part of a mission-driven team transforming how people access food. Work with More ❯

Technical Project Manager – London. Three days working within a central London office is required. Join an award-winning international organisation delivering cutting-edge data analytics SaaS solutions to blue-chip clients worldwide. With 500 employees across four global locations, this company is expanding its London team and seeks a Technical Project Manager to lead high-impact software integration and automation More ❯

Technical Project Manager – London. Three days working within a central London office is required. Join an award-winning international organisation delivering cutting-edge data analytics SaaS solutions to blue-chip clients worldwide. With 500 employees across four global locations, this company is expanding its London team and seeks a Technical Project Manager to lead high-impact software integration and automation More ❯

with potential for extension. Role & Responsibilities: Strategy & Roadmap – Develop and execute a finance technology transformation plan aligned with business objectives. Technology Leadership – Lead finance system implementations (ERP, EPM, RPA, analytics), with hands-on expertise in D365, Blackline, and Workday Adaptive to deliver cost-effective, efficient solutions. Collaboration – Act as the link between Finance, IT, and business units to ensure compliant More ❯