Top Analyst Jobs in London

Use customer and transactional data on the Azure platform to deliver actionable insight for M&S Food. Support analytics projects, build automated reporting and Power BI dashboards, apply statistical techniques (regression, clustering), create clear visual outputs and recommendations, and partner with stakeholders to drive customer-led decisions.

Support Pigment implementations across the full lifecycle: document requirements, implement configurations, perform unit testing, support UAT, communicate with clients and internal teams, and contribute to practice development and presales when not on project work.

Provide sales strategy, planning, reporting, and analysis for the UK Public Sector sales area. Own pipeline KPIs, forecasting, budget vs. actual variance, territory carving, capacity planning, and GTM resource optimization. Build early warning systems, support cross-functional stakeholders (Marketing, Finance, Sales leaders), and operationalize AI-driven go-to-market initiatives to scale sales execution and improve conversion and bookings.

Analyze UK consumer and small business card credit risk, develop and implement credit risk strategies, evaluate new data sources, track portfolio performance, and partner with product, acquisitions, operations, compliance, and analytics teams to drive profitable outcomes.

Perform credit risk analysis and implement acquisition and portfolio strategies for UK consumer and small business card portfolios. Track and explain acquisition and portfolio metrics, evaluate new data sources, generate insights, and collaborate with Central Risk, Operations, Product, Acquisitions, and Compliance to deliver profitable risk strategies and better customer outcomes.

Lead last-mile analytics to improve delivery efficiency, routing, network planning and customer experience. Build forecasting and optimisation models, apply statistical and ML techniques, create Looker dashboards, track performance, collaborate with engineering and international partners, and mentor colleagues to operationalise data-driven solutions.

Lead last-mile geospatial analytics to optimise routing, network planning, forecasting and capacity. Build statistical and ML models, create Looker dashboards, track performance, and integrate analytics into operations. Partner with leadership and international partners, mentor colleagues, and drive data-driven strategies that reduce cost and carbon emissions.

Partner with Commercial and Marketing to deliver market intelligence, customer segmentation, forecasting and commercial performance insights. Build data models, dashboards and reporting, improve CRM pipeline visibility, define commercial metrics, support forecasting and planning, and translate analysis into actionable recommendations to inform strategic decisions and drive revenue growth.

Support the Non-Natural Catastrophe team by ensuring accurate exposure data capture, running pre/post-bind reports, augmenting poor-quality data, communicating with underwriters and outsource partners, and assisting with portfolio and quote analysis to improve analytics and processes.

Deliver actionable, data-driven insights and self-serve reports across brands. Build and optimise data sources, monitor experiments, create KPIs, automate processes, and work with data engineers to productionise outputs while communicating findings to stakeholders.

Manage global treasury operations including daily cash positioning, bank reconciliations, liquidity management, multi-currency cash forecasting (daily, 13-week, 26-week), bank relationship administration, compliance with international accounting standards, KPI reporting, and ad-hoc financial analysis to support senior management decision-making.

Designs and deploys supervised machine learning classifiers using curated patent data, conducts desk research on technologies, scopes and defines client classifier taxonomies, supports customer meetings and data review, and delivers ad-hoc analysis and presentations as projects progress.

Analyze, validate, and troubleshoot financial and operational data to produce decision-grade insights. Build and maintain budgeting, forecasting, and financial models; develop dashboards and reports; perform variance and root-cause analysis; partner with finance and operational stakeholders to improve data quality, reporting, and automation.

Prepare UK Group corporate tax returns using OneSource, manage POAs and PAYE settlements, prepare tax provisions for US GAAP and UK statutory accounts, support tax governance and UK tax authority relationships, drive process improvement and automation, and undertake ad-hoc projects to develop international tax expertise.

The Lead BI Analyst will collaborate with cross-functional teams, leveraging data to drive insights and strategic decision-making to enhance business performance.

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

Guide customers through PCI ASV external scanning to achieve PCI DSS compliance. Analyze and validate scans, investigate disputes with evidence and lab recreation, consult on remediation, collaborate with support, resolve escalations, and maintain required PCI ASV certifications.

Lead a hands-on analytics role to design and build a scalable cost-to-serve model, integrate and transform multi-source data, ensure data quality, run scenario and statistical models, and translate outputs into actionable operational excellence insights for stakeholders.

Produce accurate internal fund valuations across multiple instrument types, validate performance contributions, oversee fund administrators, and collaborate with portfolio managers and team members to meet valuation and reporting deadlines.

Support EMEA Partnerships by managing and reconciling student data (deep Salesforce CRM work), maintaining data hygiene, creating reporting and forecasts, identifying trends across the student lifecycle, and delivering actionable market and competitor insights to inform business development and partnership growth. Collaborate cross-functionally to implement optimizations, improve enrollment and retention, and produce dashboards and analyses that drive strategic decisions.

Ensure underwriting data quality through validation, reconciliation and QA; maintain PowerBI underwriting MI and produce quarterly MI packs; monitor underwriting authorities and premium controls; prepare Non-Financial Lloyd's and regulatory returns with stakeholders; identify automation opportunities; and coordinate between underwriters, finance, actuarial, compliance and technology teams.

Support Senior FP&A Manager with performance analysis, reporting and forecasting across a complex P&L. Prepare presentations for monthly reviews, contribute to annual budgeting and forecasting, partner with product, commercial, marketing and data stakeholders, and use financial and non-financial insights to identify risks and growth opportunities.

Partner with regional teams and XPI to collect, clean, integrate, validate, and analyze partner and customer data. Build dashboards, automate data workflows with Python, query large datasets with SQL, and enable sales/marketing with accurate, actionable datasets and training.

Lead AI-first analysis and specification for loss adjusting platforms, performing deep technical backend and legacy system analysis (VB6/legacy), generate AI-driven requirements, UI mockups and Angular code, and deliver implementation-ready documentation while working across claims, billing, payment, and settlement flows in Agile teams.

Own analytics across the participant lifecycle to support acquisition, onboarding, activation, engagement, quality, retention and reactivation. Build metrics, dashboards, and experimentation frameworks with SQL and Python; partner with Product, Operations, Growth, and Data Science to run experiments and translate marketplace data into actionable decisions that improve participant health and supply sustainability.