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Business Analyst - Intermediate
Summary:
Join our team as a Data Analyst to support business intelligence and data modeling initiatives in a hybrid work environment (2-3 days onsite). You'll leverage your expertise in database management, SQL querying, and FHIR data structures to optimize data flow and validation. Responsibilities include designing entity-relationship diagrams, documenting data requirements, and supporting data migration projects. You'll collaborate with cross-functional teams, translating business needs into scalable data models while ensuring compliance with AODA standards. Ideal candidates have strong analytical skills, experience with relational databases, and a deep understanding of FHIR frameworks and cloud-based data services.
 
Experience and Skill Set Requirements

 

Hybrid Work Arrangement: FFS will need to work at 5700 Yonge for 2-3 days per week at discretion of HM.

 

Must Haves:

  • In-depth knowledge of database management systems (e.g., SQL Server, Oracle, MySQL).
  • Ability to write complex queries, joins, subqueries, and use SQL functions
  • Experience working with FHIR: data validation between entities, FHIR data flow, mapping to FHIR entities

 

General Skills - 40%

  • Lead and conduct business analysis in order to assess client’s business problems/opportunities at varying levels of detail appropriate to the project, aligning with OPS Unified Project Management Methodology, Enterprise Architecture and Gating Process, and OPS Standard
  • Experience grooming and assembling requirements into coherent user stories and use cases and managing the Product Backlog Items, refining them and communicate changes to project manager/Team Lead
  • Meet with the Product Owner and end-users to understand the team’s work
  • Act as a proxy Product Owner for the team, where the BA answers questions or facilitates decisions on behalf of an absent Product Owner
  • Conduct business modeling; use case modeling; conceptual and logical data modeling; process and data flow modeling; use case surveys; business rules definition and non-functional requirements definitions
  • Working effectively with other teams (developers, analysts, business stakeholders) to ensure the data model meets business and technical requirements
  • Good communication skills to explain complex data modeling concepts to non-technical business users and ensure alignment with their needs
  • Experience with agile practices, including sprints, user stories, and iterative development, especially when working in an agile data environment
  • knowledge of emerging IT trends and technologies
  • Knowledge and understanding of Accessibility for Ontarians with Disability Act (AODA) and related regulations and standards

 

Technical Skills - 60%

 

  • Experience how to create and interpret Entity-Relationship Diagrams to represent the relationships between different data entities
  • Strong skills in SQL query, manipulate, and retrieve data from relational databases.
  • Relational Databases: Experience with relational databases like Oracle, MySQL, SQL Server
  • Knowledge of data warehousing concepts and platforms
  • Ability to analyze data patterns, structures, and business requirements to define an optimal data model
  • Experience working with FHIR to map entities to FHIR entities and to perform data validation between entities, FHIR data flow, mapping to FHIR entities
  • Experience with conceptual data model to describe FHIR data flow
  • Ability to document data requirements from source DB to FHIR service in Azure Data Services
  • Experience with data migration projects
  • Experience in the use of Computer Aided Software Engineering (CASE) tools to document conceptual requirements and scope such as Power Designer
  • Experience to create data models at different levels of abstraction and then map them to physical data storage.
  • Ability to translate business requirements into effective data models that align with organizational goals
  • Documenting definitions, structures, and rules for data elements
  • Experience with database normalization techniques and when to apply denormalization for performance optimization.
Supplier Comments
Max no of submission- 1 (one)

Hybrid Work Arrangement: FFS will need to work at 5700 Yonge for 2-3 days per week at discretion of HM.

 

Notes- Please ensure all the candidates have all the must haves

 

Must Haves:

  • In-depth knowledge of database management systems (e.g., SQL Server, Oracle, MySQL).
  • Ability to write complex queries, joins, subqueries, and use SQL functions
  • Experience working with FHIR: data validation between entities, FHIR data flow, mapping to FHIR entities