• Execute and contribute to the design of observational studies using claims data (e.g., case-control matching, difference-in-differences, propensity score methods) • Conduct analyses to measure the cost and outcomes impact of Solera's programs • Investigate product and engagement data to identify patterns, drop-off points, and opportunities to improve outcomes • Build and maintain analysis and modeling pipelines in Python and Spark for feature engineering, cohort construction, and outcomes measurement • Contribute to the team's ML products (e.g., risk models, patient matching) through feature development, evaluation, and iteration • Collaborate cross-functionally with health economics, clinical, product, sales, and engineering teams to interpret results and deliver actionable insights • Document methodologies and findings clearly enough to withstand external scrutiny • Work with cloud data infrastructure (BigQuery, GCS, Dataproc) to query, transform, and analyze large datasets