Senior Healthcare Data Integration Analyst

Job Description

🏢Company: Truveta
📍Location: Hyderabad, Telangana, India 🇮🇳
💼Job Type: Full-time
🏢Work Mode: On-site
⏳Experience: 6+ years in data analytics, data engineering or healthcare data implementation; 3+ years with clinical applications
🎓Education: Bachelor’s/Graduate Degree in Computer Science, Data Analytics, Engineering, Health Information Management, Healthcare Administration or related field
💰Expected Salary: ₹15–₹25 Lakhs Per Year
📊Job Category: Healthcare, Engineering, Information Technology, Data Integration, Health Informatics, Data Engineering
🌐Website: Website
📞Contact: Contact us

🌟Healthcare data is only as valuable as the story it can reliably tell. 🏥📊

Truveta is looking for a Senior Healthcare Data Integration Analyst who can connect complex clinical systems, transform fragmented healthcare data into usable information, and build reliable pipelines that support research, analytics and better healthcare decisions.

If Epic, Cerner, HL7, FHIR, SQL and Python are part of your professional toolkit, this role puts those skills at the center of a high-impact healthcare data mission.

🌟About Truveta:
Truveta is a health data and analytics company focused on using real-world healthcare data to support research, clinical decision-making and better health outcomes.

The company is expanding its global footprint with a new presence in Hyderabad, where its India Development Center is building teams focused on high-quality, well-integrated healthcare data. 🌍

Truveta’s mission is “Saving Lives with Data”, bringing together health, software and big-data expertise to solve complex healthcare challenges.

💡About the Role:
As a Senior Healthcare Data Integration Analyst, you will lead and support the onboarding of healthcare data from member organizations and third-party sources into the Truveta platform.

You will work at the intersection of healthcare informatics, data engineering and analytics, understanding source systems, profiling datasets, developing source-to-target mappings, defining transformation rules and validating data quality.

The role also involves regular collaboration with U.S.-based engineering, product and member teams, including overlap with U.S. Pacific Time business hours. 🇺🇸

📌Key Responsibilities:

• Lead onboarding of healthcare data from member source systems and third-party sources.
• Partner with technical and clinical teams to understand source data structures and workflows.
• Perform comprehensive data profiling for completeness, quality, conformance and integrity.
• Develop and maintain source-to-target mappings aligned with platform data models.
• Define, implement and validate business and data transformation rules.
• Design and support automated validation and regression testing for onboarding workflows.
• Document data onboarding methodologies, transformation logic and quality findings.
• Translate complex healthcare workflows into clear technical specifications.
• Communicate effectively with both customer-facing and highly technical stakeholders.
• Identify opportunities to improve scalability, efficiency and reliability of data onboarding.
• Collaborate with engineering, product and external healthcare partners. 🔗

🎯Requirements:

• 6+ years of experience in data analytics, data engineering or healthcare data implementation.
• 3+ years of implementation experience with Epic, Cerner, MEDITECH or Allscripts.
• 3+ years of experience analyzing large datasets.
• Strong proficiency in SQL and Python or R.
• Experience with data profiling, source-to-target mapping and validation testing.
• Strong understanding of data warehousing and ETL/ELT processes.
• Knowledge of healthcare terminology, clinical workflows and healthcare data.
• Working knowledge of HL7, FHIR and CCDA.
• Familiarity with clinical ontologies including ICD, SNOMED, LOINC, RxNorm, CPT and NDC.
• Ability to translate business workflows into technical requirements.
• Strong documentation, communication and stakeholder-management skills.
• Ability to collaborate across time zones with U.S. teams.

🌟Preferred Skills:

• Healthcare data integration
• Clinical informatics
• EHR/EMR implementations
• Epic, Cerner, MEDITECH or Allscripts
• HL7 / FHIR / CCDA
• SQL and Python/R
• ETL/ELT and data warehousing
• Data quality and data profiling
• Source-to-target data mapping
• AWS, GCP or Azure
• Databricks or Snowflake
• Mirth Connect, Rhapsody or Cloverleaf
• U.S. healthcare system implementations
• Healthcare interoperability
• Clinical data analytics

🔥Career Insight:
Healthcare data integration sits at the intersection of three fast-growing disciplines: healthcare, technology and analytics.

Professionals who can understand clinical workflows while also working with EHR systems, interoperability standards, SQL, Python and cloud data platforms can build specialized careers in healthcare data engineering, clinical informatics and health-tech implementation. 📈

This role is particularly relevant for professionals who want experience working with U.S. healthcare data and large-scale clinical data platforms.