Senior Analyst (Data mining)

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 60 health plans, including many of the top 20, and representing more than 160 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.

About the Role

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’ll 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

· Lead pre and post-pay claim reviews to identify inaccurate payments using reimbursement and contract expertise.

· Analyze and interpret provider contracts to ensure payments align with negotiated terms, methodologies, and payer rules.

· Collaborate closely with engineering and data science teams to translate business and reimbursement logic into analytical and automation frameworks.

· Research and document emerging reimbursement and contract patterns, coverage rules, and billing practices to inform concept development.

· Translate complex reimbursement and contract scenarios into structured rules and business logic for implementation.

· Analyze claim-level data to pinpoint root causes of overpayments or incorrect denials and recommend corrective approaches.

· Maintain expertise on CMS and commercial payer reimbursement guidelines.

· Support quality review, concept validation, and process improvement initiatives.

Required Qualifications

· 5+ years experience in healthcare data mining or claims editing on the provider, payer, or vendor side

· Deep understanding of provider contracts, including rate structures, carve-outs, and reimbursement methodologies.

· Strong knowledge of claims processing, coding, billing, and payment logic across CMS and commercial payers.

· Proven ability to identify improper payment patterns, root causes, and opportunities for correction.

· Strong investigative and deductive reasoning skills; able to connect policy, data, and contractual details.

· Comfortable working in close collaboration with technical teams to guide implementation of business logic.

· Self-directed, detail-oriented, and adaptable to a fast-paced, growing environment.

Preferred Qualifications

· Coding or billing certifications.

· Working proficiency in SQL for data exploration and validation.

· Prior work in cross-functional R&D or innovation teams focused on healthcare payment integrity.

Equal Employment Opportunity at Machinify

Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. 

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