• Use SQL to query data in Snowflake. • Update Snowflake data models, consistent with current data architecture. • Use LookML to add new dimensions, measures, table calculations, and explores to Looker . • Create dashboards in Looker and Post Hog to support growth, enrollment marketing, client implementation, product initiatives, and/or company OKRs. • Conduct deep-dive analyses using data from Snowflake and Looker to understand user behavior patterns, identify friction points in the user journey, and uncover opportunities for product enhancement. Analyses may include, but are not limited to, descriptive analytics, correlation, regression, and between-group analyses. • Present the results of these analyses to a cross-functional audience, translating complex data findings into actionable recommendations. • Build externally-facing reports that provide stakeholders with clear visibility into user engagement, and feature adoption, clinical outcomes, and recommendations for optimal product use. • Provide data to help justify and inform decision-making around A/B tests and experiments to validate product hypotheses and measure the impact of new features or changes. • Use DBT to build data models and add new data sources to Snowflake. • Assist with updating data dictionary and ERD. • Communicate proactively. During onboarding, you will meet 3-5x/week with your supervisor to provide updates on ticket status and to ask questions. Asking questions outside of these meetings is expected and welcomed. • Work with your supervisor and relevant stakeholders to proactively discuss requirements when questions arise.