# Senior Data Analyst

**Company:** [Machinify](https://hotfix.jobs/companies/machinify)
**Location:** Remote
**Role:** Data Analytics
**Salary:** $140k – $170k/yr
**Experience:** 5+ years
**Skills:** SQL, spark sql, Databricks, Delta Lake, Snowflake, BigQuery, ETL, ELT, LLMs, icd-10, cpt, hcpcs, ub-04, cms-1500, hcc coding
**Posted:** 2026-07-28

> Senior Data Analyst on the Data Engineering team who bridges client needs, internal healthcare product knowledge, and data-driven outcomes. Requires deep healthcare claims expertise, expert SQL and AI/LLM usage for analysis and automation, payment integrity experience, and collaboration with clients and internal teams.

## Job Description

## What You’ll Do
- Collaborate with clients and internal stakeholders to understand payment integrity requirements, document process flows, and integrate analytical outputs with client workflows and downstream adjudication systems
- Develop deep understanding of Machinify's internal processes and how they integrate together — from data ingestion through claims adjudication — ensuring analytical solutions are accurate, traceable, and aligned with business needs
- Actively drive AI adoption: prompt and iterate with LLMs to accelerate analysis, identify processes where AI can replace manual workflows, and contribute to AI-assisted pipeline development
- Write and maintain complex analytical SQL against large-scale claims datasets: window functions, CTEs, multi-table joins, query optimization, and production-quality logic that runs reliably at scale
- Identify and build AI-driven automation workflows that replace or accelerate manual analytical processes — moving from one-off prompts to repeatable, team-shareable tooling
- Design and implement data transformations that convert raw medical and institutional claims into canonical models, applying healthcare coding standards (ICD-10, CPT, HCPCS, UB-04, CMS-1500) throughout
- Drive payment integrity analysis — identify overpayment patterns, coordination of benefits issues, and billing edit opportunities by applying deep knowledge of payer policy, CMS regulations, and provider reimbursement methodologies
- Conduct data quality audits and build monitoring frameworks that surface anomalies before they reach production
- Support onboarding of new client data feeds, ensuring smooth integration with minimal disruption
- Partner with engineers, clinical staff, and product managers to translate complex healthcare requirements into data solutions
- Mentor analysts and engineers on healthcare domain questions — serving as the go-to SME on coding, claims adjudication, and payer policy
- Document transformation logic, data lineage, and analytical methodologies to support knowledge transfer and audit readiness

## What You Bring
- 5+ years of data analysis experience and working directly with healthcare claims data
- Deep knowledge of medical claim types (professional and institutional), coding systems (ICD-10-CM/PCS, CPT, HCPCS), and standard form formats (UB-04, CMS-1500)
- Demonstrated experience using LLMs or AI tools to accelerate analytical work — not as a novelty, but as a repeatable part of your workflow
- Expert-level SQL: complex analytical queries, window functions, CTEs, performance tuning against datasets of hundreds of millions of rows
- 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
- Strong communicator — able to discuss healthcare process and payment logic directly with health plan clients and non-technical stakeholders
- Ability to translate ambiguous business and clinical requirements into precise, well-documented data logic
- 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 — writing and optimizing queries against large-scale data environments is a daily expectation
- Experience with Databricks or a cloud data lakehouse (Delta Lake, Snowflake, BigQuery)
- Background in 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)
- Prior experience at a health plan, payment integrity vendor, or healthcare analytics firm

## What We Offer
- 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
- Competitive salary, equity, 401(k) including employer match

The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. The base salary range for this role is $140,000-$170,000. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.

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