Senior Healthcare Data Integration Analyst

About this job

Truveta is a health provider led data platform on a mission to save lives with data, helping researchers find cures faster, empower clinicians, and guide families in their healthcare choices. As the company expands its global presence with a new center in Hyderabad, India, it is hiring a Senior Healthcare Data Integration Analyst to lead and support the onboarding of member data into the main platform. In this role, you will work closely with external member teams and internal engineering stakeholders to profile, map, validate, and automate data ingestion workflows. A normal day involves analyzing complex healthcare datasets, uncovering patterns in disparate source systems, building scalable integration processes, and collaborating daily with product and engineering teams in the United States, which requires regular overlap with US Pacific business hours.

Responsibilities

• Lead the 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.
• Provide clear, timely communication to stakeholders through customer-facing discussions and technical design sessions.

Requirements

• Bachelor's or graduate degree in Computer Science, Data Analytics, Engineering, Health Information Management, Healthcare Administration, or a related 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.
• Working knowledge of healthcare data exchange standards like HL7, FHIR, CCDA and clinical ontologies like ICD, SNOMED, LOINC.
• Demonstrated experience with data profiling, source-to-target mapping, and validation testing.
• Ability to collaborate across time zones with regular overlap with US Pacific hours.

Good to have

• Experience at a health system or healthcare technology company.
• Experience with modern cloud-native platforms such as AWS, GCP, Azure, Databricks, or Snowflake.
• Hands-on experience with healthcare integration engines such as Mirth Connect, Rhapsody, or Cloverleaf.
• Experience delivering data implementations for US health system clients from an offshore engineering center.

Who should apply

This role suits experienced data professionals with a strong background in healthcare data integration, clinical applications, and data analytics. Candidates who are passionate about working with complex clinical datasets and solving technical challenges will thrive here. It is ideal for independent self-starters who possess strong communication skills and can comfortably collaborate across international time zones with US-based teams. Freshers should not apply as 6+ years of relevant experience is required.

Frequently asked questions