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ITProfound Inc.

Business Analyst - Senior

Posted 5 Days Ago
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In-Office
Toronto, ON, CAN
Senior level
In-Office
Toronto, ON, CAN
Senior level
Senior Business Analyst to lead enterprise-scale requirements and data governance for justice technology projects. Responsibilities include end-to-end requirements, data modeling, mapping, lineage, integration, producing BA artifacts (process maps, data flows), ensuring data quality/metadata standards, and supporting Agile delivery using tools like Azure DevOps or JIRA.
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We do have a job opening for Business Analyst - Senior for our direct client Province of Ontario. The position details are given below:


Job Details:

Job ID: RQ11277 - Business Analyst - Senior

Client : Justice Technology Services 
Location : 25 Grosvenor St, Toronto or 200 1st Avenue, North Bay, Toronto, Ontario
Duration:  01 year + Extension
Type: Onsite


Job Description:


Mandatory Requirements

1. Business Analysis Experience

  • Minimum 8 years as a Business Analyst supporting medium to large enterprise projects.

  • At least 5 years leading end-to-end requirements across business, functional, data, and reporting domains.

  • Experience with:

    • Requirements traceability, gap analysis, and change impact assessment

    • Agile delivery tools (e.g., Azure DevOps, JIRA)

2. Data Management & Governance

  • Minimum 5 years applying data management frameworks in complex environments, including:

    • Data lifecycle and governance

    • Metadata management and data quality

  • Experience supporting standardized, controlled data practices across enterprise systems.

3. Data Analysis, Mapping & Integration

  • Strong experience (5+ years) in:

    • Analyzing and documenting data structures, flows, and lineage

    • End-to-end data mapping and validation rules

  • Knowledge of enterprise data architecture and integration patterns, including:

    • Data pipelines and interoperability

    • Impacts to analytics, reporting, and downstream use


Desired Skills and Experience

1. Business & Data Requirements

  • Lead end-to-end requirements gathering across ministry and justice partners.

  • Document and validate:

    • Business, functional, non-functional, data, integration, and reporting requirements

    • User stories, acceptance criteria, and business rules

  • Ensure requirements are clear, prioritized, and aligned with data acquisition and governance objectives.

2. Data Analysis, Modelling & Mapping

  • Analyze current-state (including non-relational) data and document key elements.

  • Define target relational data structures, including:

    • Entities, relationships, and normalized tables

    • Primary and foreign keys aligned to business domains

  • Develop:

    • Source-to-target mappings (column-level)

    • Transformation logic (analytics-ready / SQL-ready)

    • End-to-end data traceability

3. Process, Data Flow & Integration

  • Produce core artifacts:

    • Process maps and workflows

    • Data flow diagrams and data models

    • Integration and interface requirements

  • Identify data flows, integration points, and system dependencies.

  • Support solution design by ensuring requirements are feasible and aligned with architecture.

4. Data Standards, Governance & Quality

  • Develop and maintain:

    • Data definitions, business rules, and data dictionary

    • Naming conventions and metadata standards

  • Align deliverables with ministry data governance frameworks.

  • Support design of data management processes (intake, validation, quality controls).

  • Maintain requirements traceability and support validation to ensure datasets are accurate, complete, and analytics ready.

Business Analysis & Delivery

  • Proven experience leading business analysis activities on large, complex, multi-stakeholder digital projects.

  • Strong ability to translate business needs into clear, structured, and actionable requirements.

  • Experience producing key BA artifacts, including:

    • Business and functional requirements

    • Process maps and workflows

    • Data flow diagrams and specifications

  • Experience working in Agile delivery environments (Scrum/Kanban) using tools such as Azure DevOps or JIRA.

Data Analysis & Technical Knowledge

  • Solid understanding of relational data modeling and data warehousing concepts.

  • Knowledge of data transformation processes (ETL/ELT) and analytics-ready dataset design.

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