[Remote] Senior Healthcare Data Analyst

Note: The job is a remote job and is open to candidates in USA. Machinify is rebuilding how health plans audit and pay claims using AI. The Senior Healthcare Data Analyst transforms claims data into trusted models, drives payment integrity insights, validates data pipelines, and serves as an internal expert on claims adjudication.

Responsibilities

• Claims mapping & transformation — Design and implement data transformations that convert raw medical and institutional claims (837 EDI, UB-04, CMS-1500) into Machinify's canonical models, applying healthcare coding standards (ICD-10-CM/PCS, CPT, HCPCS) throughout
• Data quality & pipeline validation — Perform detailed audits to detect, troubleshoot, and resolve issues impacting accuracy and completeness; write SQL and Spark SQL queries to validate pipeline output end-to-end
• Platform expertise — Develop deep working knowledge of Machinify's platform—from data ingestion through claims adjudication—so that analytical solutions are accurate, traceable, and business-aligned
• Payment integrity — Identify overpayment patterns, COB issues, and billing edit opportunities by applying expertise in payer policy, CMS regulations, and provider reimbursement methodologies
• AI-assisted workflows — Actively drive AI adoption: prompt and iterate with LLMs to accelerate analysis, identify manual processes ripe for automation, and contribute to AI-assisted pipeline development
• Client onboarding — Support onboarding of new client data feeds, ensuring smooth integration with minimal disruption and clear documentation of transformation logic and lineage
• Cross-functional partnership — Partner with data engineers, data science, clinical staff, and product managers to translate complex healthcare requirements into scalable data solutions; collaborate with data scientists to enable advanced analytics and ML use cases
• Subject matter leadership — Serve as the go-to SME on claims coding, adjudication rules, and payer policy—mentoring analysts and engineers and advising stakeholders on risk, trends, and business impact

Skills

• Bachelor's degree in Business, Computer Science, Health Informatics, or a related field
• 5+ years working directly with healthcare claims data — 837 EDI, encounter data, medical billing — ideally at a health plan, payment integrity vendor, or healthcare analytics firm
• Deep knowledge of claim types (professional and institutional), coding systems (ICD-10-CM/PCS, CPT, HCPCS), and standard form formats (UB-04, CMS-1500)
• Hands-on payment integrity experience: overpayment detection, COB, billing edits, or claim editing logic
• Familiarity with CMS regulations and commercial payer guidelines as they apply to claims adjudication and payment policy
• Advanced SQL proficiency; comfortable writing complex analytical queries against large datasets
• Solid understanding of data modeling concepts and best practices for analytics
• Strong communicator — able to discuss healthcare process and payment logic directly with health plan clients, clinicians, and non-technical stakeholders
• Self-starter with strong ownership, accountability, and the ability to manage multiple concurrent initiatives
• Working knowledge of provider reimbursement methodologies — MS-DRG/APR-DRG pricing, fee schedules, per diem, and capitation
• Proficiency with Spark SQL or a comparable distributed query engine for large-scale data environments
• Exposure to ETL/ELT pipeline development or close collaboration with data engineers on pipeline design
• Exposure to value-based care arrangements or risk adjustment (HCC coding, RADV)

Benefits

• Work from anywhere in the US! Machinify is digital-first.
• Full Medical/Dental/Vision for employees & their families
• Flexible and trusting environment where you’ll feel empowered to do your best work
• Unlimited FTO
• Equity
• 401(k) including employer match

Company Overview

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