
Senior Clinical Data Analyst
About the role
Job Summary
InnoVet Health is seeking a Lead Data Analyst to support high-priority clinical informatics, interoperability, and analytics modernization initiatives for the U.S. Department of Veterans Affairs (VA). This role supports enterprise efforts related to EHR modernization, standards-based interoperability, clinical workflow optimization, and data-driven decision-making across Agile delivery environments.
The Lead Data Analyst will serve as a primary authority for healthcare analytics, reporting, and data integration activities supporting clinical and operational transformation initiatives. The ideal candidate will bring experience working with VA clinical systems, healthcare interoperability standards, enterprise data platforms, and cross-functional Agile teams to deliver actionable insights that improve Veteran care, usability, and operational performance.
This is a full-time, remote position with competitive pay, comprehensive benefits, and significant growth potential. You will have the chance to make a meaningful impact while enjoying the flexibility of working from home.
If you're ready to take your career to the next level in the federal sector, we'd love to hear from you. Please send your resume and interest to hr@innovethealth.com.
Responsibilities:
- Serve as the primary authority for data analysis and reporting across Agile integration, interoperability, and clinical informatics initiatives.
- Responsible for designing and maintaining data pipelines, performing advanced analytics, and ensuring data integrity for clinical and operational decision-making.
- Supports integration of multiple health IT systems, validates data migration fidelity, and provides actionable insights to program leadership.
- Support standards-based interoperability and data harmonization activities involving HL7, FHIR, SNOMED CT, LOINC, and enterprise healthcare data exchange.
- Support PI Planning activities through backlog analytics, reporting cadence tracking, dependency visibility, and Agile delivery metrics.
Qualifications:
- Demonstrated expertise in:
- Agile environments (e.g., supporting PI Planning, backlog analytics, velocity metrics);
- Data Visualization tools (e.g., Power BI, Tableau) and ETL processes
- Clinical Systems (e.g., VA VistA/CPRS, Oracle Health/Cerner Millennium) and terminology mapping
- Strong background in SQL, Python/R, and data governance for HIPAA-compliant environments.
- Must be U.S. citizen and eligible for VA clearance.
- Role aligns with PWS tasks for data migration fidelity, interoperability validation, and Agile reporting cadence.
- Bachelor's degree in data science, Computer Science, Health Informatics, Statistics, or a related field.
- 8+ years of professional experience in data analytics or health informatics.
- 5+ years working with healthcare data standards (HL7, FHIR, SNOMED, LOINC) and interoperability.
Preferred Qualifications:
- Certifications such as Certified Health Data Analyst (CHDA) or Certified ScrumMaster (CSM)
- Master's degree in health informatics, Data Analytics, or Public Health
- Experience with enterprise analytics and cloud-based data platforms (e.g., Azure Databricks, SQL Server, Power BI, Tableau)
Job Type: Full-time
Pay: From $145,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Paid time off
- Referral program
- Vision insurance
Application Question(s):
- This position works with government contracts. Under Order 11935, either U.S. Citizenship or valid permanent residency is required. Answer 2 if you are a US citizen, 1 if you have a permanent resident card.
- Please provide the link to your LinkedIn account.
- How many years of experience do you have working on federal contracts?
- Which clinical systems do you have experience with?
Education:
- Bachelor's (Required)
Experience:
- healthcare data : 3 years (Required)
- Agile: 3 years (Preferred)
- ETL: 3 years (Preferred)
- Python: 3 years (Required)
- Data visualization: 3 years (Required)
Work Location: Remote