Lead Business Analyst - Data Analysis, Agile methodology (US)

5 or more years of experience in technical writing, business systems analysis, or integration analysis, with progressive responsibilities in documenting APIs or clinical integrations.

3 or more years of experience in healthcare interoperability, with a focus on electronic health records (EHRs) and clinical data exchange.

Demonstrated hands-on experience mapping HL7 standards (v2.x, v3) for orders, results, or clinical data.

3 or more years utilizing modern API documentation standards (such as OpenAPI/Swagger) and API development tools (such as Postman).

Experience with "Docs-as-Code" workflows and version control systems (e.g., Git, GitHub).

Experience in healthcare interoperability in a diagnostic lab or clinical lab setting.

Deep knowledge of HL7 standards specifically applied to lab workflows (LOINC, SNOMED, and lab-to-EHR resulting).

Knowledge of and practical experience with Fast Healthcare Interoperability Resources (FHIR) profiling and JSON data structures.

Experience working in an Agile/SAFe environment.

Knowledge:

In-depth knowledge of healthcare interoperability standards, data structures, and clinical vocabularies (HL7, FHIR, JSON, XML).

Knowledge of data-mapping techniques and technical requirements-gathering frameworks.

Knowledge of API architecture styles (REST, SOAP) and security standards (OAuth 2.0).