Lead and facilitate workshops with senior stakeholders (clinical, operational, and technical) to define and prioritize complex business requirements, especially those related to healthcare regulatory compliance, clinical workflows, payer/provider systems, and Electronic Health Records (EHR) integration.
Translate high-level business goals into detailed, actionable functional and non-functional specifications (e.g., User Stories, Use Cases, Process Flows, Wireframes).
Manage the requirements lifecycle, ensuring traceability from initial concept through to final delivery and testing.
Solution Design & Partnership:
Act as the critical liaison between business units and development/data teams.
Collaborate closely with Solution Architects and Data Engineers to design and validate data-driven solutions that optimize healthcare outcomes and operations.
Evaluate proposed solutions for feasibility, impact, and alignment with organizational strategic goals and regulatory standards (e.g., HIPAA, HL7, FHIR).
Data Analysis & Modeling:
Mandatory: Apply strong analytical skills to large, complex healthcare datasets to identify trends, issues, and opportunities for process improvement or new feature development.
Define data requirements, data flow diagrams, and contribute to the logical data model, particularly for data warehousing, BI, and advanced analytics initiatives.
Preference will be given to candidates who can use SQL, Python, or R for advanced data profiling and ad-hoc analysis.
Leadership & Quality Assurance:
Provide guidance and mentorship to other Business Analysts and cross-functional team members.
Define and execute comprehensive testing strategies (e.g., UAT plans, test cases) to ensure the final product meets the defined business needs and quality standards.
Ensure all project documentation is maintained and standards are followed throughout the project lifecycle.
Manage change requests, assessing their impact on scope, timeline, and cost.
