• Core Team priorities for 2026: • Analytics data warehouse v2: Design, implement, and migrate to a new analytics warehouse, owning modeling patterns, layer contracts (Silver, Gold, Semantic), and metric definitions. • Clear layer ownership: Define interfaces and responsibilities across ingestion, transformation, and analytics to improve velocity and trust. • Clear role definitions: Within the Core team, identify how the Data Analysts and Analytics Engineers work together on the team’s goals. • Embedded analytics: Launch Omni for client-facing analytics, establish best practices, and train Product and Business Analysts. • Production analytics tooling: Specify and integrate tools for data quality, anomaly detection, and monitoring. • Team growth: Scale the Core Analytics team from 4 to 8. • Platform scale: Support analytics infrastructure for 10 products (9 net new).

• Deliver data warehouse and analytic solutions • Write ETL packages, develop visualizations, perform data and statistical analyses, and administer systems to deliver information to the health system • Work with business users to develop analytics solutions • Develop, design and support applications and relational databases • Assist with development of pipelines to synthesize raw data into actionable information • Evaluate data quality and interpret results in a clear, concise manner • Develop documentation on requirements, decisions, design, modifications, and any associated maintenance • Support analytics projects and collaborate with the business to gather and execute requirements • Work collaboratively with and support multi-departments efforts and projects • Participate and contribute to overall training development, maintenance, and facilitate trainings both internally and externally as needed • Leverage SQL, SSMS, and Databricks to conduct healthcare analytics and generate comprehensive reports for data-driven decision making • Engineer and implement structured programming solutions to automate database and server connections, transforming complex data into accessible, user-friendly content while eliminating manual processes

• Work with clients as a critical participant in their BigQuery and Looker analytics journey • Understand each client’s needs from an organizational, process, and technological perspective • Education component will center around Looker enablement and co-development • Work side by side with client technical teams to guide them on LookML modeling best practices • Lead interactive working sessions and conduct hands-on workshops to develop models and explores together • Answer in-depth questions about Looker’s semantic layer • Development component will include technical tasks such as designing, implementing, and maintaining data models in Looker, ETL pipelines, and building actionable dashboards

• Design, build, and maintain dimensional data models in Snowflake that serve as the foundation for analytics and reporting across the company • Develop and optimize dbt models to transform raw data from systems like Salesforce, HubSpot, Recurly, and other business platforms into clean, reliable datasets • Create and maintain data documentation in Select Star and other catalog tools to ensure discoverability and understanding of our data assets • Partner with data analysts and business teams to understand their analytical needs and translate them into scalable data solutions • Implement data quality checks and monitoring to ensure accuracy and reliability of analytics datasets • Optimize SQL queries and data pipelines for performance and cost efficiency • Support strategic analytics initiatives including customer journey analysis, revenue analytics, and product usage metrics • Contribute to data governance practices including data quality standards, PII handling, and metadata management • Mentor junior team members and promote best practices in data modeling and analytics engineering