Sr. Analytics Engineer
Core
Design, model, and maintain robust analytics infrastructure to transform disparate healthcare data (payer claims, EMR/clinical, operational) into clean, centralized datasets for strategic business operations and clinical workflows.
Role type
Senior Analytics Engineer (Healthcare)
Builds
Production-ready data models, semantic layers, and scalable data pipelines for enterprise reporting and self-service analytics.
Domain
Healthcare / Data Engineering
Required skills
Advanced SQL (complex queries, CTEs, window functions), Data modeling, Data ingestion and blending, Automated data validation, Agile project management, Technical documentation, Stakeholder communication
Preferred skills
Analytics engineering workflows (dbt), Python/Pandas, Cloud data warehouses (Snowflake, BigQuery), MS SQL Server, Excel, Value-Based Care (VBC) concepts
Technologies
dbt, Python, Pandas, Git, Snowflake, MS SQL Server, BigQuery, Excel
Responsibilities
Design and maintain production data models and semantic layers; Ingest and blend diverse healthcare datasets; Execute ad-hoc SQL queries and deep-dive analyses; Define and standardize core business metrics; Partner with cross-functional stakeholders to translate needs into technical logic; Conduct automated data validation and performance tuning; Document data models and pipelines.
Seniority
Senior, hands-on IC