Senior Data Analyst - Medical Coding & Healthcare Analytics

This is a remote position.

Senior Data Analyst – Medical Coding & Healthcare Analytics

Role Summary

We are looking for a Senior Data Analyst with 10+ years of experience at the intersection of SQL, medical coding (CPT-4, ICD-10), and healthcare revenue cycle operations. This is a senior individual contributor role requiring deep technical expertise, strong domain knowledge, and a proven record of translating healthcare data into measurable financial and clinical impact.

Key Responsibilities

•       Develop and maintain MySQL/MSSQL stored procedures, batch-scripted reporting systems, and data pipelines supporting revenue cycle operations ($3M+ annually).

•       Analyze healthcare claims data segmented by provider, service type, and time period to drive clinical and financial decisions.

•       Apply expert-level CPT-4, ICD-10, and HCPCS coding knowledge - including modifier usage, surgical coding, fee schedules, and carrier-specific rules.

•       Manage EDI transaction workflows: ANSI ASC X12N 837P, 835, 277CA, and 999 to maximize clean claim rates and reduce denials.

•       Consult with practice leadership on CPT utilization strategy, revenue projections, and coding compliance.

•       Support HIPAA-compliant data architecture and HL7 middleware integrations between practice management and billing systems.

•       Deliver executive-ready dashboards and parameterized reporting tools enabling timely leadership decisions

Requirements

Required Qualifications

•       10+ years in Data Analysis within healthcare or medical billing environments.

•       Expert-level SQL - MySQL/MSSQL stored procedures, database design, performance tuning, and automation.

•       10+ years of hands-on CPT-4 and ICD-10 coding - procedure/surgical coding, modifiers, and insurance carrier rules.

•       EDI experience: ANSI ASC X12N 837P, 835, 277CA, 999 transaction sets.

•       HIPAA compliance knowledge applied to data handling and system architecture.

•       Demonstrated revenue impact through data-driven solutions ($1M+ preferred).

•       Bachelor’s degree in computer science, Mathematics, Business, or equivalent experience.

Preferred Qualifications

•       HL7 middleware integration experience for patient data exchange and lab requisition workflows.

•       AWS cloud experience: instance deployment, VPC/firewall configuration, encrypted data transfers.

•       Multi-client medical practice management or revenue cycle consulting background.