AirPay is a company that automates dental insurance verification and revenue cycle workflows for dental practices. They are seeking a Healthcare Data Analyst to conduct analytical investigations across their benefit verification pipeline, transforming data anomalies into actionable insights that inform engineering fixes and product decisions.

Responsibilities:

Run structured investigations into benefit data anomalies across 100+ payers
Own the weekly pattern analysis on customer issue tickets
Scope and run investigations when a payer behaves unexpectedly, a customer surfaces a data anomaly, or a hypothesis needs checking

Requirements:

3–5 years in healthcare data, payer analytics, insurance operations, or RCM. Dental background not required, but you need to understand how insurance benefit structures work (coinsurance, deductibles, frequency limits, network tiers)
Strong data skills: comfortable in SQL and Excel/Sheets, can write a structured query, build a pivot, and sanity-check a dataset without hand-holding
End-to-end research ownership: can start from a vague “something looks off” signal, scope an investigation, run it, and write up clear findings
Clear written communication. Output is documentation of findings and structured reports, not just raw data
EDI X12 familiarity (270/271 eligibility transactions especially)
Experience at a health tech company, payer, or benefits administrator
Comfort with Python or scripting for data manipulation
Experience working with parser output, portal data, or unstructured benefit text

AirPay

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Data

Healthcare Data Analyst