Senior Data Analyst (NYC Hybrid)
Team: Data & Analytics
Location: New York, NY
Commitment: Full time
Workplace Type: hybrid
Salary:
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
- 2+ 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.)
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