United States onlyEmpassion is a Management Services Organization (MSO) focused on improving the quality of care and costs on an often neglected “Advanced illness/ end of life” patient population, representing 4 percent of the Medicare population but 25 percent of its costs. The impact is driven deeper by families who are left with minimal options and decreased time with their loved ones. Empassion enables increased access to tech-enabled proactive care while delivering superior outcomes for patients, their communities, the healthcare system, families, and society.
What success looks like
- Collaborate with cross-functional teams to understand business requirements and report on data from various sources, ensuring data quality, consistency, and accuracy.
- 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 to stakeholders, using Looker.
- Create documentation and training materials for technical and non-technical users of our data products
What you will bring
- 4+ years of experience in healthcare analytics, analytics engineering, or medical economics, having delivered actionable insights from big data analytics environments to Clinical, Operations, or Finance teams
- Deep familiarity with healthcare claims and eligibility data
- Strong SQL skills
- Excellent communication abilities around highly technical data topics and the ability to work with a diverse set of technical and non-technical audiences (peers, engineers, operations, external customers)
- Proficiency with BI/reporting tools (Looker, Tableau, etc.)
- Excitement about working in a fast-moving startup environment
- A bias for action and enthusiasm for fast iteration
- Proficiency with dbt and templated SQL
- Familiarity with clinical healthcare data sources and standards (ADT, EHR, Labs, FHIR, USCDI, etc.)
- Experience with statistical analysis software (Python/pandas, R, etc.)
Nice to have:
