151 to 175 of 1,752 Analytics Jobs in London

. Lead Retail Analytics & Growth Consultant page is loaded Lead Retail Analytics & Growth Consultantlocations: Londontime type: Full timeposted on: Posted 2 Days Agotime left to apply: End Date: November 30, 2025 (30+ days left to apply)job requisition id: SR-33882It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed … to bringing passion and customer focus to the business. Lead Retail Analytics & Growth Consultant Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of … expertise in AI, Engineering & Design/Behavioral sciences. Success Profile: You have a demonstrated track record of leading strategic engagements within new and existing Retail accounts for pure-play analytics services, while consistently achieving or exceeding quarterly and annual goals. You have strong commercial acumen that you can execute on to manage and grow revenue, work with purchase as well 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 ❯

PySpark or Scala Solid understanding of Apache Spark, Delta Lake, and distributed data processing concepts Hands-on experience with Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics Proficiency in SQL and Python for data transformation and pipeline logic Please note: you will be working a US time zone. Please contract/01676545407 to discuss in more detail. More ❯

office) About the Company/Role A global film/entertainment company is hiring a Data Analyst to join their London data function. This role sits within a collaborative analytics and engineering team, supporting reporting improvements and a migration to a more advanced BI platform. You’ll work cross-functionally with stakeholders across the business — from content and finance to More ❯

office) About the Company/Role A global film/entertainment company is hiring a Data Analyst to join their London data function. This role sits within a collaborative analytics and engineering team, supporting reporting improvements and a migration to a more advanced BI platform. You’ll work cross-functionally with stakeholders across the business — from content and finance to More ❯

consulting. Strong knowledge of financial services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role More ❯

consulting. Strong knowledge of financial services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role More ❯

consulting. Strong knowledge of financial services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role More ❯

consulting. Strong knowledge of financial services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role More ❯

edge, mission-critical programmes in a highly collaborative technical environment, this is an excellent opportunity. What You’ll Be Doing Designing and delivering secure, high-performance data pipelines and analytics platforms Working across AWS or Azure environments, building scalable, reliable data solutions Collaborating with cross-functional teams including engineers, data scientists, and architects Playing a hands-on role in end More ❯

and process mapping. Microsoft App Innovation (Power Platform, Azure DevOps) Azure Cloud Automation & Infrastructure Modernisation (Azure, Infrastructure as Code, Azure Arc, Azure VMware Solution) Microsoft Fabric for unified data analytics (Purview, Fabric, OneLake, PowerBI) Fortinet SASE & Security for secure, scalable networking (NextGen Firewalls, SDWAN, ZTNA) Key Responsibilities: Acquire and then grow a portfolio of mid-market accounts across multiple industries More ❯

and process mapping. Microsoft App Innovation (Power Platform, Azure DevOps) Azure Cloud Automation & Infrastructure Modernisation (Azure, Infrastructure as Code, Azure Arc, Azure VMware Solution) Microsoft Fabric for unified data analytics (Purview, Fabric, OneLake, PowerBI) Fortinet SASE & Security for secure, scalable networking (NextGen Firewalls, SDWAN, ZTNA) Key Responsibilities: Acquire and then grow a portfolio of mid-market accounts across multiple industries More ❯

and process mapping. Microsoft App Innovation (Power Platform, Azure DevOps) Azure Cloud Automation & Infrastructure Modernisation (Azure, Infrastructure as Code, Azure Arc, Azure VMware Solution) Microsoft Fabric for unified data analytics (Purview, Fabric, OneLake, PowerBI) Fortinet SASE & Security for secure, scalable networking (NextGen Firewalls, SDWAN, ZTNA) Key Responsibilities: Acquire and then grow a portfolio of mid-market accounts across multiple industries More ❯

tables and views, ensuring data integrity, and uncovering insights that drive strategic decisions. You'll collaborate with the architecture team to understand data flows and help shape reporting and analytics processes. This is a technically-focused role, with a strong emphasis on SQL and Power BI. You'll investigate the source of data faults, develop solutions to complex problems, and More ❯

and process mapping. Microsoft App Innovation (Power Platform, Azure DevOps) Azure Cloud Automation & Infrastructure Modernisation (Azure, Infrastructure as Code, Azure Arc, Azure VMware Solution) Microsoft Fabric for unified data analytics (Purview, Fabric, OneLake, PowerBI) Fortinet SASE & Security for secure, scalable networking (NextGen Firewalls, SDWAN, ZTNA) Key Responsibilities: Acquire and then grow a portfolio of mid-market accounts across multiple industries More ❯

ideally we would prefer candidates with experience working to those arrangements. Essential skills: AWS Data Engineering Snowflake Databricks Responsibilities: Develop and manage data models, schemas, and metadata to support analytics and reporting needs. Collaborate with Data Analysts, Scientists, and Business Analysts to ensure data availability and usability. Implement data quality checks, validation routines, and monitoring to ensure data integrity and More ❯

Details This small-sized organisation operates within the public sector, leveraging data to optimise operations and improve decision-making. Based in West London, they are committed to delivering impactful analytics solutions. Description Data Platform Development : Set up and configure a lakehouse using Microsoft Fabric and Azure. Data Migration : Migrate existing Power BI Gen1 dataflows to Gen2 and integrate new data More ❯

skills. Insurance domain experience, particularly in Property & Casualty/General Insurance, is preferred. Prior client-facing experience and solution design expertise. What is nice to have? Exposure to data analytics and digital UX integration. More ❯

leadership, mentoring junior scientists, and shaping client solutions at scale. 🔎 The Role Lead and mentor a small team of junior Data Scientists & Analysts. Deliver advanced machine learning and predictive analytics projects end-to-end. Engage with clients to define problems and build data-driven strategies. Ensure best practices in reproducibility, coding standards, and scalable pipelines. Translate complex insights into actionable More ❯

leadership, mentoring junior scientists, and shaping client solutions at scale. 🔎 The Role Lead and mentor a small team of junior Data Scientists & Analysts. Deliver advanced machine learning and predictive analytics projects end-to-end. Engage with clients to define problems and build data-driven strategies. Ensure best practices in reproducibility, coding standards, and scalable pipelines. Translate complex insights into actionable More ❯

leadership, mentoring junior scientists, and shaping client solutions at scale. 🔎 The Role Lead and mentor a small team of junior Data Scientists & Analysts. Deliver advanced machine learning and predictive analytics projects end-to-end. Engage with clients to define problems and build data-driven strategies. Ensure best practices in reproducibility, coding standards, and scalable pipelines. Translate complex insights into actionable More ❯

leadership, mentoring junior scientists, and shaping client solutions at scale. 🔎 The Role Lead and mentor a small team of junior Data Scientists & Analysts. Deliver advanced machine learning and predictive analytics projects end-to-end. Engage with clients to define problems and build data-driven strategies. Ensure best practices in reproducibility, coding standards, and scalable pipelines. Translate complex insights into actionable More ❯

and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction, and identity verification success More ❯

and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction, and identity verification success More ❯

and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction, and identity verification success More ❯