Machinify, a leading healthcare intelligence company, is seeking a Senior Data Analyst to join the Data Engineering team. You will combine healthcare domain expertise with the ability to learn Machinify's internal products—from data ingestion through claims adjudication—and help design AI-driven workflows that raise the bar for analytics. This is not a purely back-office role; you will act as the bridge between client needs, product knowledge, and data-driven outcomes.

Responsibilities include: - Collaborating with clients and internal stakeholders to understand payment integrity requirements, document process flows, and integrate analytical outputs with client workflows and downstream adjudication systems. - Developing a deep understanding of internal processes from data ingestion through claims adjudication, ensuring analyses are accurate, traceable, and aligned with business needs. - Driving AI adoption by prompting and iterating with LLMs to accelerate analysis and identify processes where AI can replace manual workflows; contributing to AI-assisted pipeline development. - Writing and maintaining complex analytical SQL against large-scale claims datasets, including window functions, CTEs, multi-table joins, query optimization, and production-quality logic. - Designing AI-driven automation workflows to replace or accelerate manual analytical processes, moving from one-off prompts to repeatable, team-shareable tooling. - Designing data transformations to convert raw medical and institutional claims into canonical models, applying ICD-10-CM/PCS, CPT, HCPCS, UB-04, CMS-150

Machinify, a leading healthcare intelligence company, is seeking a Senior Data Analyst to join the Data Engineering team. You will combine healthcare domain expertise with the ability to learn Machinify's internal products—from data ingestion through claims adjudication—and help design AI-driven workflows that raise the bar for analytics. This is not a purely back-office role; you will act as the bridge between client needs, product knowledge, and data-driven outcomes.

Responsibilities include: - Collaborating with clients and internal stakeholders to understand payment integrity requirements, document process flows, and integrate analytical outputs with client workflows and downstream adjudication systems. - Developing a deep understanding of internal processes from data ingestion through claims adjudication, ensuring analyses are accurate, traceable, and aligned with business needs. - Driving AI adoption by prompting and iterating with LLMs to accelerate analysis and identify processes where AI can replace manual workflows; contributing to AI-assisted pipeline development. - Writing and maintaining complex analytical SQL against large-scale claims datasets, including window functions, CTEs, multi-table joins, query optimization, and production-quality logic. - Designing AI-driven automation workflows to replace or accelerate manual analytical processes, moving from one-off prompts to repeatable, team-shareable tooling. - Designing data transformations to convert raw medical and institutional claims into canonical models, applying ICD-10-CM/PCS, CPT, HCPCS, UB-04, CMS-150