Data Mining Sr. Analyst
Required skills
- healthcare data mining
- claims editing
- provider side
- payer side
- vendor side
- provider contracts
- rate structures
- carve-outs
- reimbursement methodologies
- claims processing
Nice to have
- CPC
- CCS
- SQL
- data exploration
- data validation
- cross-functional R&D
Role summary
Machinify is seeking a Senior Analyst with 5+ years of experience in healthcare data mining or claims editing to lead the development of reimbursement and payment integrity concepts. This hands-on role requires a deep understanding of healthcare reimbursement logic, payment policies, and provider contracts. You will analyze claims data to identify and prevent payment errors, translate expertise into analytical and automation frameworks, and collaborate with technical teams. The ideal candidate is investigative, detail-oriented, and comfortable working with technical teams to implement business logic. Proficiency in SQL is preferred.
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
Machinify is seeking a Senior Analyst to lead the development and refinement of new reimbursement and payment integrity concepts. This is a hands-on healthcare domain role, not a technical or engineering position. The ideal candidate understands reimbursement logic, payment policies, and provider contracts in depth — and can translate that expertise into clear, structured concepts that inform analytics and automation efforts.
You will be focused on discovering where and why payment errors occur, designing methods to detect and prevent them, and partnering with technical teams to operationalize your findings. This role is ideal for someone who loves digging into claims data, identifying systemic payment issues, and shaping how technology solutions capture real-world reimbursement logic.
What You’ll Do:Preferred Qualifications:
