Machinifyinc
Senior Healthcare Data Analyst
Remote - US. Posted a month ago
The role
You will translate raw claims feeds into canonical models and drive payment integrity insights. You will use AI tooling to accelerate analysis and serve as a subject matter expert on claims flow and adjudication.
What you will do
- Design and implement data transformations for medical and institutional claims
- Perform audits to detect and resolve issues impacting accuracy and completeness
- Write SQL and Spark SQL queries to validate pipeline output
- Develop knowledge of the platform from data ingestion through claims adjudication
- Identify overpayment patterns, COB issues, and billing edit opportunities
- Drive AI adoption by prompting and iterating with LLMs
- Support onboarding of new client data feeds
- Partner with data engineers, data science, clinical staff, and product managers
- Serve as a subject matter expert on claims coding, adjudication rules, and payer policy
Required qualifications
- Bachelor's degree in Business, Computer Science, Health Informatics, or a related field
- 5+ years working directly with healthcare claims data
- Deep knowledge of claim types, coding systems, and standard form formats
- Hands-on payment integrity experience
- Familiarity with CMS regulations and commercial payer guidelines
- Advanced SQL proficiency
- Solid understanding of data modeling concepts and best practices for analytics
- Strong communicator
Nice to have
- Working knowledge of provider reimbursement methodologies
- Proficiency with Spark SQL or a comparable distributed query engine
- Exposure to ETL/ELT pipeline development
- Exposure to value-based care arrangements or risk adjustment
Benefits
- Full Medical/Dental/Vision for employees & their families
- Flexible and trusting environment
- Unlimited FTO
- Competitive salary
- Equity
- 401(k) including employer match
About the company
Machinify is a healthcare intelligence company that delivers value, transparency, and efficiency to health plan clients. It uses an AI-powered platform to maximize financial outcomes and drive down healthcare costs.