Top Data Analyst Jobs in London

Support data governance by working with business and IT to document data flows, classify personal data for regulatory records, identify critical business terms, define data quality rules, appoint data owners/stewards, assess controls and risks, and produce reports from the data governance tool.

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.

Maintain and own infrastructure portfolio data across financial, operational, ESG and value-creation metrics. Run recurring data collection, ensure data quality, produce dashboards and investor reporting, support ESG regulatory reporting and coordinate external providers.

Embed in the Pitstop squad to build monitoring and analytics for launch readiness, handover speed/accuracy, retention, and cost-per-parcel. Investigate performance, quantify initiative impact, diagnose churn and LiveOps ticket drivers, maintain dbt models and pipelines, and deliver KPIs and dashboards to guide squad decisions.

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.

Supports media broadcast research and analytics by maintaining Power BI dashboards, extracting and manipulating data with SQL and Excel, producing reports, and analyzing content performance. The role researches external audience and industry data, conducts ROI and viewership analysis, develops surveys, and translates quantitative and qualitative findings into clear insights and recommendations for stakeholders across Premier League broadcast and digital activities.

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.

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

Analyze customer behaviour, build customer segmentation and predictive models, create and maintain dashboards, measure CRM program impact, support qualitative and quantitative research, and partner with CRM, marketing, digital and regional teams to translate business questions into actionable insights that drive revenue and improve customer engagement.

Support and shape investor-facing messaging by ensuring narratives are evidence-based and aligned to validated performance. Partner with Finance, Strategy, Risk, Compliance and Communications to define and reconcile KPIs, improve data governance and controls, prepare investor materials, and resolve inconsistencies so senior leaders can confidently engage investors and the Board.

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

Lead data privacy and governance initiatives: perform technical privacy reviews, maintain end-to-end data mapping and ROPA, run compliance scans, support DSARs and regulatory responses, enforce governance standards, and partner with Engineering, Product and Legal to remediate privacy gaps.

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

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 individual contributor who analyzes marketing performance, owns measurement and GA4 tracking, partners with paid media and CRM teams, builds dashboards and advanced measurement (LTV, CAC, incrementality), and translates complex data into actionable recommendations for senior stakeholders.

Lead business and functional requirements capture, traceability and change management for a Viaverse SaaS mobilisation into BAU. Define process flows, maintain data dictionaries, ensure requirements-driven development and test coverage, manage impact and commercial assessment of change, chair governance, and support release and BAU handover.

Lead migration of SAS-based analytical EUCs to GCP by analysing business and risk logic, assessing GCP data landscape, defining data requirements and source-to-target mappings, producing engineering-ready specs, enabling engineering teams, and promoting reusable Consumer Data Products across use cases within an agile migration factory.

The Senior Director Analyst, MDM at Gartner will lead analysis and provide insights to help enterprise leaders succeed with their priorities in business and technology.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

Lead high-complexity analytics projects: partner with stakeholders, prepare and blend large datasets, apply intermediate statistics, build models and visualizations, deliver insights, and mentor junior analysts.

Act as Implementation Business Analyst for Alpha Data: gather and document client requirements, define data ingestion/enrichment/validation standards, perform data analysis and source-to-target mapping, support testing and migrations (SIT/UAT), create client documentation, and collaborate with product, development, and stakeholders to deliver data onboarding and platform enhancements.

The Senior Data Analyst delivers insights dashboards and data products, leads projects, mentors team members, and collaborates with various stakeholders for data-driven decision making.

The Senior Data Analyst will analyze data, run A/B tests, and provide insights to improve product decisions and user experiences.

The Data Engineer will design and build production-grade data pipelines and architectures for AI solutions, ensuring data quality and collaborating with cross-functional teams.