- Business requirements analysis, KPI definition, and stakeholder engagement.
- Strong SQL and Python/R for data exploration, statistical analysis, and reproducible reporting.
- Experience building actionable reports, dashboards, and self-serve analytics.
- Data quality assurance, validation frameworks, and root-cause analysis.