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We are seeking a data-focused, motivated Junior Business Analyst to deliver comprehensive technical analysis, requirements modeling, and interoperability design for advanced digital health initiatives. In this role, you will bridge the gap between operational clinical requirements and complex healthcare data architectures. Your primary focus will be analyzing raw data from relational source databases and transposing them into cutting-edge international healthcare standards, collaborating directly with technical engineering teams to drive agile feature delivery.
Job Responsibility
Data Standards Transposition: Analyze source healthcare records and lead data transformation activities, mapping and modeling legacy relational database structures into standard Fast Healthcare Interoperability Resources (FHIR) schemas.
Agile Requirements Architecture: Extract and clarify detailed technical requirements from clinical stakeholders and subject matter experts. Formulate and structure coherent, technical user stories and acceptance criteria within Azure DevOps.
Technical Interface Validation: Author and manipulate structured JSON payloads. Execute data integration, endpoint verification, and API behavior validation utilizing Postman.
Database Analysis & Ingestion: Write and run targeted SQL queries to profile data distributions, discover schema anomalies, and execute precise source-to-target data mapping matrices.
Cloud Analytics Exposure: Support big data analysis and data validation tracks within unified cloud environments like Microsoft Databricks.
Cross-Functional Communication: Act as a core translator, working closely alongside Software Developers, Data Engineers, and Privacy Specialists to communicate, clarify, and validate dense backend data definitions.
Lifecycle Documentation: Build and maintain detailed business analysis artifacts, including data flow diagrams, business rules registries, and comprehensive requirements traceability matrices (RTM).
Requirements
Healthcare Data Standards: Proven, hands-on experience working directly with FHIR standards, including custom resource modeling, profiles, and FHIR API ingestion patterns.
Technical Data Tooling: Strong capability writing SQL queries paired with practical experience handling data exploration assets inside Databricks.
Data Engineering Literacy: Solid experience executing detailed data analysis, schema profiling, and building source-to-target data mapping templates.
Web Services & Formats: High proficiency generating, reading, and editing JSON files combined with practical API testing using Postman.
Agile Framework Experience: Direct experience working within an Agile/Scrum delivery model leveraging tracking software like Azure DevOps.
Core Business Analysis Skills: Demonstrated ability to document use cases, map business process models, and translate technical data metrics into clear software execution steps.
Soft Skills: Superior analytical, problem-solving, and verbal/written communication skills with a proven track record of successfully collaborating within technical delivery teams under tight deadlines.
Nice to have
Familiarity with Ontario Public Sector (OPS) Unified Project Management Methodologies, Enterprise Architecture standards, and corporate gating checkpoints.
Knowledge of global information management principles, data privacy boundaries, and accessibility standards (e.g., AODA compliance).