Risk Adjustment Data Analyst @ Honest Health
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Who You Are
You are a collaborative professional motivated to make a meaningful impact in healthcare. You embrace challenges as opportunities to innovate and improve healthcare outcomes for partners, people, and communities.
Who We Are
At Honest Health, our purpose and partnership drive the transformation of primary care. Our team of healthcare experts collaborates with health systems, physician organizations, payers, providers, and patients to deliver innovative, value-driven solutions.
Your Role
The Risk Adjustment Data Analyst is responsible for developing and maintaining data processes and analytics related to the CMS HCC risk adjustment model for the Medicare population. You will ensure accurate risk score calculations, automate processes using SQL, and build dashboards and reports with tools like Tableau.
Key Responsibilities include:
- Calculate risk scores using the CMS HCC model.
- Develop SQL processes to automate risk score runs.
- Evaluate project performance and identify value drivers.
- Create automated dashboards and KPI reporting.
- Collaborate with Actuarial, Health Economics, and Finance teams.
How You Qualify
A Bachelor's degree in analytics or a related field is required, with a Master’s being a plus. You should have 3+ years of SQL and data analytics experience, advanced Excel skills, and experience with healthcare datasets and data visualization tools.
Compensation & Benefits
Base pay ranges from $76,600.00 to $88,000.00, with performance bonuses and a comprehensive benefits package including 401(k), health benefits, paid time off, and professional development support.
Work Environment
Enjoy flexible work arrangements and a collaborative environment focused on impact, innovation, and healthcare transformation.
Key skills/competency
- Risk Adjustment
- CMS HCC
- SQL
- Data Analytics
- Data Visualization
- Tableau
- Excel
- Healthcare Data
- KPI Reporting
- Collaboration
How to Get Hired at Honest Health
🎯 Tips for Getting Hired
- Customize your resume: Tailor skills to Honest Health requirements.
- Highlight SQL expertise: Emphasize data analytics projects.
- Research Honest Health: Understand their mission and values.
- Prepare for technical interviews: Focus on SQL and data visualization.