Collaborate with cross-functional teams to understand business requirements and report on data from various sources
Calculate traditional (PMPM costs, utilization, etc.) and novel (program engagement, capitation rates, etc.) healthcare metrics from claims and product data
Help to validate regular claims and eligibility data refreshes
Act as a healthcare data SME on a rapidly growing Data & Analytics team
Design, develop, and maintain algorithms and data models, using SQL and dbt
Create visually appealing and informative visualizations and dashboards to communicate data insights and enable data-driven decision-making
Create documentation and training materials for technical and non-technical users of data products

Requirements

2+ years of experience in healthcare analytics, analytics engineering, or medical economics
Deep familiarity with healthcare claims and eligibility data
Strong SQL skills
Proficiency with BI/reporting tools (Looker, Tableau, etc.)
Nice to have: Proficiency with dbt and templated SQL
Nice to have: Familiarity with clinical healthcare data sources and standards (ADT, EHR, Labs, FHIR, USCDI, etc.)
Nice to have: Experience with statistical analysis software (Python/pandas, R, etc.)

Benefits

comprehensive medical, dental, and vision coverage
401(k) retirement plan
equity grants for qualifying roles
performance-enhanced compensation philosophy rewards employees through bonus incentives
annual pay equity audit

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdbtdata modelingalgorithm developmentstatistical analysisPythonpandasRdata visualizationhealthcare metrics

Soft Skills

collaborationcommunicationdocumentationtraining