• Design and own **business-critical metrics** (definitions, edge cases, documentation) • Build **clean, reusable SQL models** (transformation layer) that become source-of-truth datasets • Partner with stakeholders to turn ambiguous questions into clear analytical deliverables • Create self-serve datasets and lightweight reporting so teams can answer questions without bottlenecks • Improve data reliability: sanity checks, reconciliations, and data quality monitoring (as available) • Contribute to analytics best practices (naming, documentation, metric governance)