Healthcare Data Analyst

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