Healthcare Business Analyst

Triunity Software•Boston, MA

About The Position

As a Business Analyst, you will work across the full product lifecycle, from discovery and concept validation to delivery and post-launch analysis. You will collaborate closely with product managers, UX designers, data engineers, and QA testers to define requirements, improve workflows, and optimize outcomes. A strong understanding of healthcare-specific workflows and terminology is essential.

Requirements

8 years of experience as a Business Analyst in the healthcare technology or digital health sector.
Familiarity with healthcare interoperability standards such as FHIR, HL7, or EDI.
Understanding of privacy and compliance frameworks (e.g., HIPAA, HITECH, GDPR-equivalent for data protection).
Exposure to working with EHRs, provider networks, or care coordination platforms.
Ability to work with relational databases (e.g., MySQL, PostgreSQL) or tools like Looker/Tableau for validation.
Experience working in fast-paced SaaS, product-led, or startup environments.

Responsibilities

Elicit and document business, functional, and technical requirements from cross-functional stakeholders.
Create detailed Business Requirement Documents (BRDs), Functional Specifications, User Stories, Use Cases, and Acceptance Criteria.
Define complex field-level rules, interdependencies, and validation logic, especially in modules like:
Model current and future-state workflows using BPMN, flow diagrams, and swimlanes.
Conduct gap analysis between current platform capabilities and future product needs.
Identify workflow inefficiencies and opportunities for automation or improvement.
Align product workflows with evolving care models (e.g., virtual care, team-based care, chronic care management).
Act as a liaison between business and technical teams to ensure mutual understanding of product goals.
Lead requirement walkthroughs and backlog grooming sessions with internal stakeholders.
Work with clinicians, operations leaders, and compliance officers to ensure regulatory and operational alignment.
Serve as the “voice of the user” during design, development, and testing phases.
Collaborate with data engineering teams to define reporting logic, KPIs, and data validation rules.
Help define API payload requirements, interface specifications, and system integration points.
Support FHIR, HL7, and EDI-based data exchange requirements at a conceptual or field-level mapping level.
Develop test scenarios, data sets, and expected outcomes based on requirements.
Support User Acceptance Testing (UAT), identify issues, and validate solutions.
Help triage production issues by analyzing root causes and clarifying expected behavior.