Senior Healthcare Data Integration Analyst

About Truveta

Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta's ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

This Opportunity

We are seeking a Senior Healthcare Data Integration Analyst to lead and support the onboarding of member data into the Truveta platform. This role is central to ensuring high-quality, well-integrated data that meets clinical, research, and operational needs.

Key Responsibilities

• Lead onboarding of data from member source systems and third-party sources into the Truveta platform.
• Partner with external technical and clinical teams to understand source data structures, workflows, and business context.
• Perform comprehensive data profiling to assess completeness, quality, conformance, and integrity.
• Develop and maintain source-to-target mappings aligned to platform data models and standards.
• Define, implement, and validate business and data transformation rules.
• Design and support test automation strategies for onboarding workflows, including validation and regression testing.
• Document onboarding methodologies, transformation logic, data quality findings, and validation processes to ensure reproducibility and knowledge sharing.
• Provide clear, timely communication to stakeholders, from customer-facing discussions to deep technical design sessions.
• Continuously improve onboarding processes to increase scalability, efficiency, and reliability.

Key Qualifications

• Bachelor's or graduate degree in Computer Science, Data Analytics, Engineering, Health Information Management, Healthcare Administration, or related analytical field.
• 6+ years of experience in data analytics, data engineering, or healthcare data implementation roles.
• 3+ years of implementation experience with clinical applications such as Epic, Cerner, MEDITECH, or Allscripts.
• 3+ years of experience analyzing large datasets, with strong proficiency in SQL and Python or R.
• Demonstrated experience with data profiling, source-to-target mapping, and validation testing.
• Experience supporting customer or partner engagement during technical implementations.
• Experience translating clinical workflows into informatics or analytics applications.
• Working knowledge of healthcare data exchange standards (HL7, FHIR, CCDA) and clinical ontologies (ICD, SNOMED, LOINC, RxNorm, CPT, NDC).
• Strong written and verbal communication skills with both customer-facing and highly technical audiences.
• Ability to collaborate across time zones in a distributed team, with regular overlap with US Pacific (West Coast) hours.