Business Analyst
Requirements gathering, process analysis, data-backed recommendations and aligning business and IT.
Requirements gathering, process analysis, data-backed recommendations and aligning business and IT.
Dashboards, SQL reporting, KPI definitions and helping teams act on data.
Financial modelling, budgeting, forecasting, variance analysis and decision support.
Results frameworks, indicators, data collection, data quality, analysis and programme learning.
Demand forecasting, inventory analysis, supplier performance, cost reduction and clear reporting.
Retail category performance, assortment, pricing, promotion analysis, stock productivity and buyer recommendations.
Health claim adjudication, benefit checks, provider billing review, utilisation patterns and confidential case handling.
Analysing customer journeys, complaints and service data to identify friction and guide measurable improvements.
Business-led analysis, SQL, data quality, dashboard design and clear recommendations for client decisions.
Forecast development, demand drivers, forecast bias, promotion planning and alignment with sales and supply teams.
Fraud pattern analysis, rule performance, loss monitoring, experiment design and clear recommendations from transaction data.
Designing market studies, protecting fieldwork quality, analysing evidence, and presenting findings that answer business questions.
Funnel analysis, experiment design, event quality and translating ecommerce behaviour into product decisions.
Radio network performance, KPI analysis, interference diagnosis, parameter tuning and post-change validation.
Driver supply, trip performance, marketplace issues, safety escalations and service improvement in ride-hailing operations.
Analysis of inventory, demand, supplier and delivery data to explain service gaps, improve planning and support operational decisions.
Planning risk-based tax audits, testing records, resolving discrepancies and documenting defensible findings.
Life product pricing, assumption setting, experience analysis, model controls and communication of actuarial results.
Fish growth and survival, water quality, feeding control, pond operations and production record analysis.
Planning defensible health analyses, selecting statistical models, checking assumptions and communicating uncertainty to research teams.
Designing data-led collections strategies, treatment experiments and fair recovery paths for digital loan portfolios.
Combining consumer, category and commercial evidence to explain behaviour and guide brand, product and campaign decisions.
Medicine forecasting, forecast-bias analysis, expiry risk, launch planning and consensus building across commercial and supply teams.
Route design, field measurements, radio log analysis, fault classification and clear optimisation recommendations.
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