Business Data Analyst – Commercial Health Insurance
Evry Health
full-time
Posted on:
Location Type: Remote
Location: Remote • Texas • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
PythonSQL
About the role
- Data Extraction and Management: Pull health plan, member, provider, and operations data from various sources and databases using SQL.
- Data Analysis: Analyze large datasets to identify trends, patterns, and discrepancies across different types of operating data.
- Reporting and Visualization: Create reports, dashboards, and visualizations to present complex findings in an accessible format for both technical and non-technical audiences/stakeholders.
- Collaboration: Work with teams across the company to manage different types of data requests and to implement and evaluate data-driven solutions.
- Data Quality: Ensure data integrity across our systems by identifying discrepancies and recommending/implementing data capture and maintenance standards/processes.
Requirements
- Education: Bachelor's degree in Mathematics, Statistics, Health Information Management, or a related field.
- Experience: 3+ years of experience in a data analysis role, preferably in the commercial health insurance industry (not Medicare, Medicaid, or individual market/ACA plans).
- Advanced SQL skills required, including experience extracting and manipulating large datasets for reporting.
- Advanced Power BI and Python skills also required.
- Proficiency with Microsoft Excel and Microsoft Suite
- Ability to interpret complex data and make informed decisions
- Strong analytical and decision-making skills
Benefits
- Competitive salary
- Comprehensive health, dental, and vision insurance as well as life and disability
- Retirement savings plan with company match
- Generous time off/vacation
- Professional development opportunities
- Flexible work environment
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdata analysisdata extractiondata managementdata visualizationPower BIPythonMicrosoft Exceldata integritydata quality
Soft skills
collaborationanalytical skillsdecision-makingcommunication