Senior Data Analyst

Machinify

Senior Data Analyst transforming healthcare claims and eligibility data into insights. Collaborating to maximize financial outcomes and improve healthcare costs for clients at Machinify.

Posted 6/29/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $95,000 - $110,000 per yearWebsite

Tech Stack

Tools & technologies

ETLSparkSQL

About the role

Key responsibilities & impact

Perform detailed data quality audits to detect, troubleshoot, and resolve issues impacting accuracy and completeness.
Conduct in-depth analysis of data quality and integrity to identify and resolve issues.
Create and execute SQL queries to validate data transformations and support data analysis efforts.
Analyze and troubleshoot ETL processes and data architectures for performance and quality.
Develop, generate, and maintain client program reports, ensuring accuracy, timeliness, and alignment with client expectations and business objectives.
Perform detailed data analysis and reconciliation activities to ensure program integrity, including validating outputs against source data and expected results.
Track and analyze program performance over time, identifying variances, root causes, and trends to ensure accuracy and consistency of results.
Reconcile data across multiple sources (e.g., claims, eligibility, and reporting outputs) to ensure alignment and completeness.
Partner with internal teams to investigate discrepancies, implement corrections, and ensure accurate downstream reporting and client deliverables.
Develop, generate, and maintain recurring and ad hoc reports for both internal stakeholders and external clients, ensuring accuracy, clarity, and timeliness.

Requirements

What you’ll need

Bachelor’s degree in business, Computer Science, Health Informatics, or a related field.
3+ years of experience as a data analyst or business analyst working with large datasets.
2+ years of hands-on experience with healthcare claims data (e.g., 837 EDI, medical billing, encounter data).
Experience within a healthcare-related field working with very large data sets of medical and pharmacy claims.
Advanced proficiency in SQL and familiarity working with Spark, Snowflake, DPE or similar big data frameworks.
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 communication, time-management, and task prioritization skills.
Ability to build and maintain strong working relationships across the organization.
Self-starter with a strong sense of ownership and accountability.

Benefits

Comp & perks

Top Medical/Dental/Vision offerings
FSA/HSA
Tuition reimbursement
Competitive salary, 401(k) with company match
Additional health and wellness benefits and perks
Flexible and trusting environment where you’ll feel empowered to do your best work

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLData AnalysisData ReconciliationETL ProcessesData Quality AuditsData IntegrityData ModelingBig Data FrameworksHealthcare Claims DataReporting

Soft Skills

Problem-SolvingAttention To DetailOrganizational SkillsCommunication SkillsTime Management