• Define, track, and report on product metrics including performance and profitability • Build and maintain robust data transformation models using dbt (or similar frameworks like Dataform or SQL-based ETL tools) to ensure analytics-ready datasets • Build and maintain Power BI dashboards to track product health and monitor the success of product initiatives • Design and interpret A/B tests; when A/B testing is not feasible, apply causal inference methods (e.g., Diff-in-Diff, Propensity Score Matching) to determine product efficacy • Develop ROI projections for analytics projects to prioritize deliverables by business impact • Tell compelling stories through data, articulating technical information to a non-technical audience