Sr. Analytics Engineer, Healthcare Economics

What You’ll Do 

Position Summary

Suvida’s Data team is hiring a Senior Analytics Engineer who bridges modern data tooling with medical economics. You will partner closely with Finance (healthcare economics), as well as Suvida’s multidisciplinary team broadly, to turn claims and other sources of healthcare data into reliable, understandable medical economics data to help guide Suvida in its 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. 

What You’ll Bring

Knowledge, Skills, and Abilities

Required 

• 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. 

Nice to have 

• 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, <insert other common finance tools here> 

• 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. 

Education, Experience, Licensure, or Certification Requirement

• Bachelors in a quantitative field (e.g., Statistics, Math, Economics, Engineering, Public Health, CS, Finance) or equivalent experience. Graduate degree a plus. 

Suvida Healthcare provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.