Top Data Jobs in London

Lead the development and delivery of data solutions for customer analytics. Manage a distributed team to ensure quality, secure, and scalable data products. Collaborate with product teams to align technical and business needs, establishing engineering guidelines and driving automation in data processes.

Lead analytics strategy and standards across product and business teams; build reusable measurement frameworks, apply causal inference and forecasting, pioneer AI-accelerated analytics, mentor data scientists, and translate results for executives.

Support implementation and operation of the data governance framework: maintain data catalogue and taxonomy, identify and monitor critical data elements, manage metadata and data quality assessments, track and remediate data issues, maintain ownership records, and produce governance reports and training materials to support risk and compliance.

Join the Integration team to collect, validate, map and load high-volume financial data from clients into SteelEye's analytics platform. Engage stakeholders, resolve data queries, refine operational processes, and perform industry research to meet data quality metrics.

Design, implement and maintain large-scale, secure data systems and pipelines across hybrid cloud environments. Optimize and troubleshoot big data platforms and orchestration tools, support ML/AI workloads, ensure GDPR/privacy compliance, perform integration testing, and support mission-critical cyber and intelligence programmes.

Lead Data Analyst responsible for advanced analytics, quantitative analysis, experimentation, and commercial modeling. Partner with Data Engineering to implement scalable pipelines, drive insights into decision-making, and embed customer research into operations. Mentor analysts, build data literacy, and influence cross-functional strategic and tactical decisions.

Design and build a greenfield marketing data foundation: tracking/tagging, identity strategy, data pipelines, integrations (GA4, Salesforce, Databricks, COGNOS), data modeling and QA, dashboards, attribution/MMM, governance and compliance. Serve as primary contact for marketing data issues, enforce standards, prioritize analytics backlog, and enable stakeholders.

Lead client-facing data and analytics initiatives for specialty insurance (MGAs). Act as onshore client contact, manage offshore delivery teams, design and deliver datasets, dashboards, Power BI reports, Power Apps workflows, and oversee bordereaux production and data governance to support underwriting and performance monitoring.

Lead Tesco-specific data strategy, architect audience and platform integrations, drive use of Open Intelligence, InfoSum and Agentic AI, ensure GDPR-aligned governance, and manage a team delivering analytics, predictive models and activation across media and owned channels.

Design, build, and maintain scalable ETL/ELT data pipelines and data architectures on the Measure platform. Work with GCP (BigQuery, Cloud Storage, Cloud Functions, Composer), dbt, and Adverity to ensure data quality, integrity, and performance. Collaborate with BI, analytics and planning teams to translate requirements, optimize queries, and support reporting and analytics for digital marketing and ad-tech data.

Own and scale strategies to grow Hearst UK's contactable audience via partnerships, affiliates, co-registration, competitions and paid media. Optimize lead generation through test-and-learn, ensure data capture and flows with CRM, engineering and product, manage partners and governance, and monitor data feed quality to drive subscription and marketing outcomes.

Design and deliver scalable Customer Data Platform solutions (Oracle Unity), build and operate data pipelines and Customer 360 models, integrate CDP with data lake/CRM/marketing systems, lead architecture and data modelling workshops, ensure data quality, governance, security, and support CDP operations, and partner with Oracle implementation teams.

Analyze business requirements and manage end-to-end data analytics delivery using Looker and BigQuery. Investigate data, build visualizations and reports, document processes, train clients, improve internal tooling, and present actionable insights to stakeholders.

Lead technical data science work and best practices, mentor data scientists, design and prototype advanced analytics and generative AI solutions, collaborate with product and engineering, and help deploy production machine learning systems for aviation analytics.

Lead and deliver data protection and privacy consultancy across public and private sector clients. Provide UK GDPR and international privacy advice, conduct DPIAs, RoPA, data mapping and compliance gap assessments, develop policies and governance frameworks, advise on AI governance and ISO standards, run client workshops, mentor junior consultants, and contribute to business development and practice improvement.

Senior Data Analyst responsible for migrating and modernizing clients' reporting to Looker Enterprise and GCP. Analyze requirements, develop LookML and BI visualizations, work with BigQuery and SQL databases, troubleshoot data quality, document processes, provide client training, and improve internal analytics tooling and processes.

Lead and mentor a team of Analytics Engineers, oversee planning and delivery of the analytics engineering roadmap, manage backlog and KPIs, translate stakeholder needs into technical requirements, drive data quality and pipeline reliability, and support team career development.

Lead Quality Management for a major data centre construction project: develop and deliver the Quality Management Plan, interface between client and contractors, organise and record quality events, ensure contractor QC plans meet contract requirements, manage factory witness testing and off-site quality activities, and promote/train a project-wide quality culture.

Lead quality management for a large Nordic data centre construction project: develop and deliver the Quality Management Plan, coordinate client and contractor quality teams, manage on-site/off-site testing and Factory Witness Testing, oversee construction documentation via the client EDM system, ensure contract specification compliance, and promote a project-wide quality culture and induction training.

Lead MEP cost and commercial delivery for large data centre projects in the Nordics. Manage teams, client reporting, contract compliance, cost analysis, stakeholder engagement, and drive process improvement and innovation.

Manage mechanical aspects of hyperscale data centre construction from pre-construction through close-out. Duties include master schedule and budget creation, contractor pre-qualification and management, contract support, value engineering, budget and schedule tracking, close-out documentation, and coordination of owner-direct vendors and inspections.

Manage electrical packages for hyperscale data centre construction through pre-construction, construction, and close-out. Responsibilities include schedule and budget development, contractor procurement and management, value engineering, contract support, close-out documentation, and coordination with clients, vendors and authorities. Significant international travel to the Nordics required.

Manage HV electrical packages for hyperscale data centre construction across pre-construction, construction, and close-out. Coordinate contractors and owner-direct vendors, support bid and contract processes, track schedule and budget, drive value engineering, and ensure completion of close-out documentation and authority inspections. Significant international travel to Finland and familiarity with local legislation required.

Serve as owner's representative for hyperscale data centre projects across pre-construction, construction and close-out: lead master schedule and budget creation, support contractor procurement and contract negotiations, manage general contractors and owner-direct vendors, coordinate value engineering, monitor budget and schedule, and drive close-out documentation and authority inspections.

Lead clinical data management for one or more trials: define expectations, create and track DM deliverables (CRFs, review/QC/oversight plans, datasets, submission packages), ensure data quality and inspection readiness, oversee vendors and partners, provide trial-level oversight, participate in working groups, audits, and training for investigators and monitors.