6+ years of experience in Healthcare Data Analysis with a focus on interoperability.
Familiarity with healthcare standards like FHIR, CCDA, and HL7 v2.
Strong skills in business and data analysis.
Proficient in writing and optimizing complex SQL queries for large datasets.
Experience with data platforms such as Databricks, Teradata, Snowflake, or AWS Athena.
Ability to conduct data profiling, mapping, and quality analysis.
Responsibilities
Analyze and validate data across clinical, claims, member, and provider systems.
Define and maintain data mappings and transformation rules for interoperability standards.
Collaborate with integration engineers and clinical SMEs to translate business needs into data specifications.
Support interoperable data exchange initiatives through detailed data analysis.
Investigate root causes of data issues and ensure data quality.
Benefits
Hybrid work model offering flexibility between onsite and remote work.
Opportunity to work with cutting-edge healthcare data standards and technologies.
Collaborative environment with cross-functional teams.
Engagement in meaningful projects that impact healthcare interoperability.
Full Job Description
Job Title: Data Analyst with Interoperability Location: various locations in US Type: Permanent Full Time Work Model: Hybrid - onsite and remote
Responsibilities • Analyze, profile, and validate source and target data across clinical, claims, member, and provider systems to support interoperable data exchange. • Define and maintain source to target mappings and transformation rules for HL7 v2, FHIR, CCD/C CDA, and X12 EDI standards. • Partner with integration engineers, clinical SMEs, and business stakeholders to translate business needs into clear data and interface specifications.
Requirements • At least 6 years of experience in Healthcare Data Analysis with Healthcare interoperability experience. • Knowledge of healthcare standards such as FHIR, CCDA, HL7 v2, and related interoperability frameworks. • Strong business analysis and data analysis experience. • Expertise in writing and optimizing complex SQL queries across large datasets. • Experience with data platforms such as Databricks, Teradata, Snowflake, AWS Athena, or similar analytical environments. • Ability to perform data profiling, data mapping, data quality analysis, and root cause investigation. • Experience working with both business and technical stakeholders to translate requirements into actionable data solutions.
Education: Bachelor's degree in computer science or related field.
