Top Data Analyst Jobs in London

As a Data Analyst at GoHenry, you will analyze data, present insights, and collaborate with teams to drive product enhancements. Responsibilities include A/B testing, building robust dashboards, and continuous improvement of data practices.

Evaluate and onboard cross-asset market data feeds, maintain and enrich reference databases, improve data QA, liaise with vendors, produce analytics and reporting, support product development and client requests across TCA, venue analytics and trade surveillance.

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.

Design scalable telemetry and event schemas for game analytics. Partner with game dev, analytics engineering, and data science to translate requirements into telemetry, validation rules, and documentation. Ensure data quality, support QA checks, and maintain standards for discoverability, governance, and downstream modelling, reporting, experimentation, and ML use.

Analyse portfolio performance and credit risk; own analytical projects end-to-end; build forecasting models and monitoring dashboards; present insights to stakeholders; partner cross-functionally to optimise risk strategy, pricing and operations.

Perform data collection, analysis, and interpretation to identify trends. Build and maintain dashboards and reports, ensure data accuracy through quality checks, collaborate with teams to deliver actionable insights, and support development of analysis methodologies.

Support Commercial Risk through daily/periodic risk reporting and VAR processes, develop and validate quantitative models for valuation and risk of complex gas and power transactions, perform price time-series analysis, ensure risk data quality, improve risk systems and reporting, and collaborate with traders and stakeholders to operationalise models and deliver ad-hoc analyses.

The Data Analyst will create and manage dashboards using Google BigQuery and Looker Studio, analyze marketing and sales performance, and derive insights to enhance customer experience and decision-making processes within the company.

Lead analytics strategy and partner with Finance, Sales, Marketing, and Product to design, automate, and maintain metrics, dashboards, and analyses. Ensure data quality (dbt), build scalable analytics solutions, embed AI-driven and agentic workflows, and translate insights into actionable business outcomes to improve acquisition, retention, and growth.

Support end-to-end processing of delegated bordereaux data (risk, premium, claims): validate, reconcile, monitor receipt, manage queries with third parties, contribute to MI/reporting, and drive process standardisation and continuous improvement to reduce manual work.

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.

Design and build data models, reports, and dashboards to support Claims and Fraud operations. Analyze performance, identify trends and improvement opportunities, and deliver data-driven insights to senior stakeholders. Collaborate cross-functionally with Claims, Fraud, Pricing, and Actuarial teams to inform strategic decisions and track initiative impact.

As a Data Analyst, you will ensure data integrity, improve data pipelines, communicate with stakeholders, and lead root cause analyses while maintaining quality across reference data products.

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 role involves using SQL and Python to develop automated solutions for risk management, improve process monitoring, and collaborate with various teams to enhance data-driven decision-making in banking operations.

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

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.

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

Lead research and analysis on global data center market trends with a focus on power and infrastructure. Conduct primary research, create forecasts and reports, present findings to senior executives, contribute to global projects on capacity, power, cooling and sustainability, and monitor developments in backup power, renewable integration, and energy efficiency.

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.

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.