Healthcare Data Analyst

Title: Data Analyst - (HL7 Clinical, CCDA, and SQL )
Location: Rancho Cucamonga, CA(Hybrid)
Position Summary:
We are seeking a results-driven Data Analyst with strong experience working with clinical healthcare data, including HL7 messages, CCDA documents, and advanced SQL querying .The analyst will play a key role in validating, comparing, and analyzing clinical data extracted from various healthcare systems.
The ideal candidate understands clinical workflows, interoperability standards, and has a keen eye for data accuracy and quality. You will collaborate with clinical informatics, IT, and quality assurance teams to ensure effective data mapping, integration, and comparison.Key Responsibilities:

• Analyze and validate healthcare data transmitted through HL7 v2/v3 messages and CCDA documents.
• Develop and execute complex SQL queries to extract, compare, and analyze clinical datasets across systems.
• Compare data elements between EMR systems, HL7/CCDA messages, and internal databases to ensure consistency.
• Build and maintain data pipelines (ETL) for reporting and dashboard solutions.
• Ensure data quality, integrity, and compliance with HIPAA and other regulatory standards.
• Work with interface teams to troubleshoot issues with HL7 feeds and CCD imports.
• Participate in mapping and transformation of clinical data to support internal analytics and reporting.
• Document data issues, trends, and results in a clear and structured format.
• Collaborate with QA and development teams to support system testing and validation.
• Maintain compliance with HIPAA and PHI data handling best practices.

Required Qualifications:

• Experience in a data analyst or healthcare informatics role.
• Strong hands-on experience with HL7 message structures (v2/v3) and CCDA documents.
• Advanced proficiency in SQL (T-SQL or PL/SQL) for querying, data modeling, and reporting.
• Experience with data integration and ETL tools (e.g., SSIS, Talend, Informatica).
• Knowledge of HIPAA compliance and PHI data handling best practices.
• Familiarity with healthcare data standards (ICD-10, SNOMED, LOINC).
• Ability to read and interpret XML-based clinical documents (e.g., CCDA).
• Excellent attention to detail and data accuracy.
• Strong communication skills and ability to work on-site with cross-functional teams.

Preferred Qualifications:

• Experience with EHR/EMR systems (e.g., Epic, Cerner, Allscripts).
• Exposure to ETL tools or data integration workflows.
• Experience in validating clinical interfaces or health information exchanges (HIE).
• Background in clinical quality programs or interoperability initiatives (e.g., FHIR, MIPS, QPP).

Infowave Systems is an equal opportunity employer that is committed to diversity and inclusion in the workplace.