Key skills
Healthcare claims dataSQLData modelingSparkData quality auditsProblem-solvingOrganizational skillsCommunication skillsSelf-starterMLETLAnalyticsCommunicationCollaboration
About this role
Machinify is a leading healthcare intelligence company specializing in delivering value and efficiency to health plan clients. The Senior Data Analyst will transform complex healthcare claims data into insights, ensuring data integrity and supporting analytics initiatives through collaboration with various stakeholders.
Responsibilities:
- 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
Requirements:
- 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, encounter data)
- 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
- Advanced proficiency in SQL and familiarity working with Spark or similar big data framework will be bonus