Top Data Analyst Jobs in London

The Data Operations Support Analyst supports data feed utilization, demonstrating benefits to accounts, ensuring customer service, and resolving technical issues related to data feeds.

Lead privacy governance and compliance across EMEA & UK. Advise business units on data protection, maintain knowledge of regional laws, develop policies and training, support privacy risk monitoring, eDiscovery and incident remediation, and coordinate privacy requirements for new technologies.

As a Data Analyst/Consultant, you'll undergo extensive training on data visualization and integration using Tableau and Alteryx, working with renowned clients to build your skills and confidence as a consultant.

Lead data cleanse validations and scheme onboarding for DB pension buy-ins/buy-outs. Act as first point of contact for TPAs and operational teams, manage transitions, produce monthly MI and reinsurance reporting, resolve data queries, support delivery and handovers, and coach junior team members while driving continuous improvement.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

Assist in implementing data governance frameworks and policies, ensuring data accuracy, creating data dictionaries, and contributing to data governance training and materials.

Lead the development of data products by analyzing customer needs, improving data structures, and creating actionable insights through collaboration with cross-functional teams.

Design, build, and maintain Power BI dashboards and automated workflows using Microsoft Power Platform and ServiceNow. Write and optimize SQL for Snowflake and other databases, perform data validation and lineage, support Workday/ServiceNow integrations, provide go-live support and troubleshooting, and uphold data management and governance practices across corporate and client-facing teams.

Support the Actuarial pricing team in data transformation projects, testing pricing models, data development, and analytics using various tools and technologies.

Lead investigation and resolution of broker margin data discrepancies by validating Python pipeline outputs against internal sources. Debug raw broker files, document margin calculation logic across account types, work with Data Engineering to translate business rules into Python, escalate structural data gaps, liaise with brokers and SMEs, and maintain mapping and audit documentation.

The Data Governance Analyst will enhance and implement data governance frameworks, support data quality improvements, and facilitate communication across teams.

The Data Governance Analyst will manage and secure data assets, develop governance policies, enhance data quality, and collaborate across departments to support business decision-making.

The Senior Data Analyst will support marketing strategies through data analysis, campaign optimization, and performance measurement across channels, while translating insights for senior stakeholders.

Provide actionable insights by analysing large datasets, building dashboards, models and proofs-of-concept, measuring campaign ROI, answering stakeholder questions, and improving reporting and data practices.

The role involves sourcing and managing international data vendors to support identity verification and compliance products, collaborating with various departments to enhance data quality and operational scalability.

Deliver HR data analysis, maintain HR systems and reporting (headcount, KPIs, compensation, diversity), produce dashboards and benchmarking, collaborate with HR COEs and payroll, and support governance, trends forecasting and stakeholder presentations.

Interim role to develop a credible, evidence-based investor narrative supported by robust data governance. Ensure KPI definitions, reconciliations and controls align source data, management reporting and investor materials. Partner with Finance, Strategy, Risk, Compliance and Communications to prepare investor presentations, scripts and Q&A, resolve inconsistencies, and establish disciplined review and sign-off processes. Support senior leaders to present defensible performance, outlook and risk messaging.

Lead and deliver quantitative analytical projects using inferential, descriptive, causal and predictive techniques. Ensure data quality and documentation, produce evidence-based insights, mentor other analysts, engage stakeholders, and support decision-making across the organisation.

The Senior Data Analyst will enhance courier performance management and optimize handovers by modeling trade-offs, running experiments, and improving data analytics.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

Serve as product-owner/business analyst for actuarial data and tools within the Global Data Office. Translate actuarial requirements into data engineering specs, lead Agile ceremonies, manage product backlog and roadmaps, align stakeholders, and ensure data governance, lineage, testing, and quality for actuarial reporting, reserving, and pricing use cases.

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.

The Senior Web3 Data Analyst will manage web3 analytics, monitor on-chain activity, analyze competitor metrics, and deliver insights for product and leadership teams.

The Senior Data Analyst will analyze business operations and performance metrics to inform strategic decisions and improve revenue retention and efficiency, collaborating with various teams to provide insights and drive impact.

Define and implement analytics tracking across web and app, translate business goals into tracking designs, write implementation-ready stories, validate client- and server-side tracking, maintain governance, conduct audits, and support data quality and documentation for measurement and optimisation.