• Analyze complex datasets to identify trends, risks, and performance insights • Write advanced SQL queries to extract, transform, and validate data • Partner with data engineers to improve data quality, integrity, and metric definitions • Develop and maintain dashboards and reports using Power BI or similar BI tools • Translate business questions into measurable KPIs and reporting frameworks • Document data definitions, calculations, assumptions, and methodologies • Support predictive and AI-enabled analytics initiatives in partnership with data science teams • Contribute to data governance efforts across systems of record • Use tools such as dbt, Airflow, and Git to support reliable data workflows • Present findings in clear, structured formats for both technical and non-technical audiences