BI (Analytics) Engineer

We are looking for a BI/Analytics Engineer with 4+ years of experience to own data modeling and pipelines at a rapidly scaling data company disguised as a healthcare platform. You'll join a lean but high-impact data team (currently just 3 people supporting 70+ engineers) and be responsible for building the foundational data layer that powers customer-facing reporting and future ML/AI products.

This is a hands-on-deck role where you'll shape messy, complex data models into something reliable and scalable – working closely with product, operations, and engineering teams. The ideal candidate thrives in ambiguity, can quantify their impact, and brings the pace and ownership mindset of a high-growth startup.

What you will be doing Owning and maturing the data modeling practice – building critical models and pipelines that power customer-facing reporting and analytics Scaling and cleaning up existing data infrastructure to support increasingly large and complex enterprise customer integrations Partnering closely with product management and internal operations teams to understand data needs and deliver accurate, trusted outputs Deep diving with engineers to understand complex production data and ensuring visualization platforms (Metabase) are accurate and available Setting the foundation for future ML and AI products by improving data quality, governance, and pipeline reliability