Data Analyst
SQL, analysis, dashboards and turning numbers into decisions.
SQL, analysis, dashboards and turning numbers into decisions.
Dashboards, SQL reporting, KPI definitions and helping teams act on data.
Business-led analysis, SQL, data quality, dashboard design and clear recommendations for client decisions.
Fraud pattern analysis, rule performance, loss monitoring, experiment design and clear recommendations from transaction data.
Supporting indicator tracking, data quality checks, community feedback, analysis and learning for development programmes.
Funnel analysis, experiment design, event quality and translating ecommerce behaviour into product decisions.
Cleaning research datasets, selecting suitable analyses, producing clear visualisations and communicating limitations.
Validating official datasets, calculating indicators, explaining variation and presenting statistical findings.
Analysis of inventory, demand, supplier and delivery data to explain service gaps, improve planning and support operational decisions.
Life product pricing, assumption setting, experience analysis, model controls and communication of actuarial results.
Planning defensible health analyses, selecting statistical models, checking assumptions and communicating uncertainty to research teams.
Basic statistical reasoning, clinical research data checks, reproducible analysis and clear interpretation for a graduate internship.
Turning raw data into accurate, clear charts and dashboards that help teams understand performance.
Commercial analytics leadership across conversion, customers, marketing, merchandising and fulfilment performance.
Validating meter data, reconciling energy bills, investigating exceptions and turning billing patterns into clear operational controls.
Validating interval data, analysing consumption and losses, explaining anomalies and producing useful operational dashboards.
Video coding, opposition analysis, set-piece insight, post-match reporting and turning football data into decisions for coaches and players.
Analysing insurance data, checking assumptions, explaining model results and supporting pricing or reserving work.
Humanitarian datasets, reporting flows, maps, dashboards, data quality and responsible information sharing.
Sales and stock analysis, category reporting, data quality checks and clear recommendations for online trading teams.
Cleaning logistics data, defining delivery metrics, finding operational causes and communicating useful insights.
Coding football matches, checking performance data and turning video and metrics into concise insights for coaches.
Route data, capacity constraints, service reliability, cost trade-offs and recommendations for efficient transport networks.
Life valuation, experience analysis, assumption setting, model controls and communication of actuarial results.
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