Sr. Analytics Engineer, Healthcare Economics

Suvida Healthcare is dedicated to enriching the lives of seniors through compassionate care and advocacy. They are seeking a Senior Analytics Engineer to bridge modern data tooling with medical economics, partnering closely with the finance team to create reliable datasets that inform their growth and care model.

Responsibilities:

• Partner with finance team to create robust, transparent datasets that drive core Suvida financial processes and reporting
• Own ingestion of novel data from source systems to Snowflake
• Build analytics-ready data models in Snowflake using dbt (staging marts), with well-defined sources, tests, and documentation
• Write high-quality SQL and targeted Python for data prep, QC, cohorting, and reproducible analyses
• Publish curated datasets and metrics for self-service in Lightdash (primary BI) and develop advanced analyses/notebooks in Hex; deliver ad-hoc extracts for Excel when needed
• Develop and maintain metric definitions (e.g., attribution logic, risk-adjusted PMPM, avoidable ED, readmits); ensure consistency across teams
• Partner with Product/Data Engineering on pipeline reliability, testing, and observability; contribute to CI/CD and data quality alerts

Requirements:

• 3–6 years in analytics/BI, ideally in a healthcare company with exposure to medical claims data or other healthcare-related datasets
• Expertise in working across different sources and formats of data, with ability to standardize and solve for different reliability characteristics
• Advanced SQL; experience with Snowflake and dbt in production
• Working knowledge of Python
• Ability to ingest data in a 'modern data stack', following Extract-Load-Transform principles, with robust and transparent pipelines
• Demonstrated experience modeling data for BI and analytics (dimensions, facts, SCDs, testing)
• Comfort with Lightdash (preferred) or similar semantic BI (Tableau, Looker, PowerBI, etc.)
• Excellent communication: explains technical findings to non-technical leaders; builds trust across Finance, Clinical Ops, and Population Health
• Bachelors in a quantitative field (e.g., Statistics, Math, Economics, Engineering, Public Health, CS, Finance) or equivalent experience. Graduate degree a plus
• Healthcare startup experience: Medicare Advantage familiarity (risk adjustment, STARs, encounter data) in the realm of Primary Care
• Experience with other finance tools, such as Sage
• Knowledge of Revenue Cycle Management and relevant data/reporting within a healthcare org
• Familiarity with medical economics concepts
• Experience working closely with Finance team and track record of delivering high-quality data for use in further financial analyses and processes
• Experience with Tuva