Healthcare Data Analyst
Quick Summary
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country.
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
We’re seeking a skilled Senior Data Analyst to join our team!
Join our Data Engineering team and help transform complex healthcare claims data into powerful insights that shape business strategy, drive clinical decisions, and support ML and analytics initiatives. You’ll architect data mappings, ensure data integrity, and serve as the go-to expert on claims data—bridging the gap between raw data and actionable outcomes.
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Responsibilities
~3 min read- →Design and maintain robust data transformations and mappings to convert raw medical claims into standardized canonical models.
- →Perform detailed data quality audits to detect, troubleshoot, and resolve issues impacting accuracy and completeness.
- →Write and optimize Spark SQL queries to validate data pipelines and support ongoing analytics.
- →Document data transformation logic and lineage to ensure transparency and reusability.
- →Collaborate cross-functionally with business stakeholders to translate data needs into technical specs.
- →Support onboarding of new client data feeds, ensuring smooth integration with minimal disruption.
- →Partner with data engineers to build and scale data pipelines, improving performance and reliability.
- →Act as a subject matter expert for healthcare claims data—advising on risk, trends, and business impact.
- →Work closely with data scientists to enable advanced analytics, ML models, and reporting use cases.
- →Troubleshoot ETL workflows and performance issues, driving continuous improvement in data architecture.
What You Bring
- →Bachelor’s degree in Business, Computer Science, Health Informatics, or a related field.
- →6+ years of experience as a data analyst or business analyst working with large datasets.
- →6+ years of hands-on experience with healthcare claims data (e.g., 837 EDI, medical billing, encounterdata).
- →Advanced proficiency in SQL and familiarity working with Spark or similar big data framework will be bonus.
- →Solid understanding of data modeling concepts and best practices for analytics. \
- →Proven problem-solving skills and attention to detail in complex data environments.
- →Strong organizational skills and ability to manage multiple concurrent initiatives.
- →Excellent written and verbal communication skills, especially when explaining technical concepts to non-technical stakeholders (e.g., clinicians, account managers, data scientists).
- →Self-starter with a strong sense of ownership and accountability
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 $140k-$170k. 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.
Listing Details
- First seen
- March 26, 2026
- Last seen
- April 24, 2026
Posting Health
- Days active
- 29
- Repost count
- 0
- Trust Level
- 32%
- Scored at
- April 24, 2026
Signal breakdown
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