Senior Analytics Engineer

Job Title: Senior Analytics Engineer Reports to: Director, Software Engineering FLSA Status: Exempt About Our Organization: RIS Rx (pronounced "RISE") is a healthcare technology organization with a strong imprint in the patient access and affordability space. RIS Rx has quickly become an industry leader in delivering impactful solutions to stakeholders across the healthcare continuum. RIS Rx is proud to offer an immersive service portfolio to help address common access barriers. We don't believe in a "one size fits all" approach to our service offerings. Our philosophy is to bring forward innovation, value and service to everything that we do. This approach has allowed us to have the opportunity to serve countless patients to help produce better treatment outcomes and an overall improved quality of life. Here at RIS Rx, we invite our partners and colleagues to "Rise Up" with us to bring accessible healthcare and solutions for all. Job Summary: RIS Rx is seeking a Senior Analytics Engineer to own the transformation and semantic layer that turns raw data in our Snowflake warehouse into trusted, documented, reusable models for analysts, dashboards, and downstream systems. You will sit between data engineering and the analysts who consume the data, applying software-engineering discipline to analytics. Responsibilities: Design sound, well-documented data models for a subject area, managing grain, slowly-changing dimensions, and incremental logic. Own the metric definitions for your subject area as the single source of truth, and resolve conflicting definitions. Build reusable, modular transformations (dbt-style) with testing, CI/CD, and documentation built in. Own data quality, freshness, and lineage for your area’s models, and respond to data incidents. Turn ambiguous business questions into models, and enable analysts and self-serve reporting in your area. Model with compliance as a requirement by applying minimum-necessary, and masking or aggregating PHI appropriately. Partner with data engineering (who land the raw data) and analysts (who consume it), and improve team practices. Skills: 5+ years in analytics engineering, data, or a closely related role. Strong SQL and transformation modeling with dbt or an equivalent. Experience designing dimensional or semantic models and stewarding metric definitions. Analytics testing and CI/CD, with clear documentation habits. Hands-on experience with Snowflake (or a comparable cloud warehouse). Experience with governed or regulated data (PHI, minimum-necessary) preferred. Strong communication to translate business questions into models and explaining them clearly. Education: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or equivalent practical experience. What we offer: Free gym membership Modern office Annual merit-based salary increases 401(k) with annual company match Medical - RIS Rx covers 100% of the employee's base HMO medical plan Voluntary Dental, Vision & Life Insurance Flexible Savings Account (FSA) Paid Holidays Time off that grows with you: 3 weeks PTO 0-2 years 4 weeks PTO after 3+ years 5 weeks PTO after 5+ years Recognition programs that celebrate impact and results Mentorship and coaching opportunities Clear growth paths and career development support Fully stocked snack kitchen Company-paid lunches #J-18808-Ljbffr