Role Description
Purpose of the role: Improve the quality, credibility, and usefulness of our client reporting. The role brings a healthcare economics or value based care background so that what we report to clients reflects sound methodology: risk adjustment, attribution, utilization and cost trend, and defensible savings and outcomes measurement.
Key responsibilities
- Design and improve the analytics behind client reporting, including cost of care trend, utilization, program impact, and return on investment.
- Build and validate measurement methodology such as risk adjustment, cohort construction, attribution logic, and comparison group design.
- Turn analytic output into reporting that a client audience can read and trust, partnering with client facing teams on narrative and presentation.
- Document methodology so results can be explained, audited, and reproduced.
- Partner with data engineering and the data architect on the models and data assets reporting depends on.
- Investigate anomalies and questions raised by clients or internal stakeholders and close them with evidence.
Required qualifications
- 5 or more years of analytics or data science experience in healthcare, with direct exposure to healthcare economics, actuarial analytics, or value based care measurement.
- Strong SQL plus Python or R for analysis and modeling.
- Working knowledge of medical and pharmacy claims data, including standard code sets and common data quality pitfalls.
- Demonstrated ability to explain methodology and findings to non technical audiences.
Preferred qualifications
- Experience with risk adjustment models, quality measure sets, or shared savings and total cost of care programs.
- Experience building client facing or externally published reporting.
- Experience working in Snowflake and with modern BI tooling.
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Senior