Data Analyst
SQL, analysis, dashboards and turning numbers into decisions.
SQL, analysis, dashboards and turning numbers into decisions.
Data labelling, response rating, following guidelines and language judgement for AI models.
Dashboards, SQL reporting, KPI definitions and helping teams act on data.
Data pipelines, warehousing, data quality and reliable reporting foundations.
Statistical modelling, experimentation, prediction and turning data into business decisions.
Model deployment, ML pipelines, monitoring and LLM-based features in production.
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.
Building reliable Power BI models, measures and dashboards from business data and user requirements.
Preparing data, training baseline models and evaluating results for practical machine learning problems.
Supporting indicator tracking, data quality checks, community feedback, analysis and learning for development programmes.
Leading monitoring, evaluation, accountability and learning systems that produce credible evidence, responsive feedback and better programme decisions.
Learning to collect, verify and summarise programme data while supporting indicators, surveys and routine monitoring.
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.
Warehouse data modelling, dbt project design, data quality tests and trustworthy business metrics.
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.
Clinical database design, validation rules, query management, reconciliation, privacy and readiness for database lock.
Credit score development, validation, portfolio monitoring, affordability and responsible lending decisions.
Managing trusted, timely data platforms for payments, reporting, fraud detection and product decision-making.
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