Evry HealthRemote
Senior Business Data Analyst (Commercial Health Insurance)
United States of America
Full Time
2 hours ago
$120,000 - $150,000 USD
No H1B
Key skills
Advanced SQLPredictive ModelingPower BIData AnalysisProvider Data ReconciliationHealthcare ExperienceMicrosoft ExcelAnalytical SkillsPythonSQLBICommunicationCollaboration
About this role
Evry Health is a company focused on commercial health insurance, and they are seeking a Senior Business Data Analyst to manage and analyze data related to health plans and member behavior. The role involves data extraction, analysis, predictive modeling, and collaboration across teams to ensure data integrity and effective reporting.
Responsibilities:
- Pull health plan, member, provider, and operations data from various sources and databases using SQL
- Analyze large datasets to identify trends, patterns, and discrepancies across different types of operating data
- Reconcile provider data across internal systems and external sources to ensure accuracy, consistency, and completeness
- Build and apply predictive models to forecast member behavior, utilization trends, and operational outcomes
- Create reports, dashboards, and visualizations to present complex findings in an accessible format for both technical and non-technical audiences/stakeholders
- Work with teams across the company to manage different types of data requests and to implement and evaluate data-driven solutions
- Ensure data integrity across our systems by identifying discrepancies and recommending/implementing data capture and maintenance standards/processes
Requirements:
- Bachelor's degree in mathematics, Statistics, Health Information Management, or a related field
- 10+ years of experience in a data analysis role in the commercial health insurance industry (Not Medicare, Medicaid, or individual market/ACA plans)
- Healthcare and health insurance experience is required
- Advanced SQL skills — including extracting and manipulating large datasets for reporting
- Advanced Power BI and Python skills
- Experience building predictive models and applying them to operational or clinical data
- Experience with provider data reconciliation across systems
- Proficiency with Microsoft Excel and Microsoft Suite
- Strong analytical and decision-making skills with the ability to interpret complex data
- Excellent written and verbal communication skills — able to present findings to both technical and non-technical audiences
- Experience implementing automation