Senior Payer Contract Analyst — Healthcare Analytics

About the role

Neolytix is a healthcare managed services organization serving 270+ provider organizations nationwide. Our Payer Analytics practice helps physician groups, MSOs, and multi-site healthcare organizations understand what payers actually pay them, benchmark those rates against the market, and win better contracts at the negotiation table. We are hiring a Senior Payer Contract Analyst in Chicago to work directly with our Payer Contract Analytics practice lead.

Responsibilities

• Analyze payer contracts and fee schedules: model reimbursement terms (% of Medicare, fixed fee schedules, case rates, carve-outs) across commercial and government payers.
• Benchmark contracted rates against Transparency in Coverage machine-readable files, Medicare fee schedules, and regional market data to quantify rate gaps and revenue opportunity.
• Analyze claims data (837/835, payment and remittance data) to validate payment accuracy against contract terms and identify underpayments and variances.
• Build and maintain analytical datasets in SQL and Python (pandas) from large, messy raw sources. Own the data foundation: design table structures and schemas in Azure SQL, and load, validate, and refresh data from raw sources — payer fee schedules, TiC extracts, claims files — into the analytical environment.
• Design and publish Power BI dashboards and models used by clients and by our negotiation team.
• Use AI tools (LLMs, AI-assisted analysis workflows) as a working part of your analytical toolkit — we expect fluency, not curiosity.
• Produce client-ready deliverables: findings, exhibits, and negotiation support materials for CFOs and VPs of Managed Care.
• Document methodology, business rules, and templates so the practice can scale beyond you.

Requirements

• 3–5 years of hands-on analytics experience in US healthcare, in at least one of: payer contracting / managed care analytics, reimbursement or payment integrity analytics, revenue cycle (RCM) analytics, payer network analytics, or healthcare consulting with payer/provider financial focus.
• Working knowledge of US reimbursement mechanics: CPT/HCPCS coding, fee schedules, allowed vs. billed vs. paid amounts, Medicare rates as a benchmark.
• SQL: joins, aggregation, window functions, and comfort with multi-million-row claims or rates tables. You have personally designed table structures (DDL) and loaded large datasets into a relational database — not just queried tables others built.
• Azure SQL experience strongly preferred.
• Python for data analysis (pandas or equivalent).
• Power BI: you have personally built and published dashboards, including DAX measures.
• Advanced Excel modeling.

Qualifications

• Able to work on-site in Chicago and authorized to work in the United States at the time of hire.

Skills

• Direct experience with Transparency in Coverage (TiC) or hospital price transparency data.
• Experience at a health plan (network/contracting analytics), a healthcare consulting firm, an RCM company, or a health system managed care department.
• Experience presenting analysis to clients or executives.
• Azure data ecosystem beyond the database itself: Azure Data Factory, blob storage, or automated data refresh pipelines.

Benefits

• Medical, dental, and vision insurance;
• 401(k);
• paid time off and holidays.