RQ11277 - Business Analyst - Senior

RQ11277 - Business Analyst - Senior

11+ months Contract (250 Business Days)

Must Have:

Extensive senior-level business analysis experience: Minimum 8+ years experience as a Business Analyst, including leading end-to-end requirements across business and data needs, with expertise in requirements traceability, gap analysis, and Agile delivery tools (e.g., Azure DevOps, JIRA).

Strong data management, integration, and governance expertise: At least 5+ years experience working with data, including analyzing, mapping, and integration within complex enterprise environments, including data modelling, lineage, and transformation, as well as applying data governance frameworks to support standardized, analytics-ready datasets.

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.

Experience defining business rules and data logic to support reporting and analysis.

Familiarity with:

Enterprise data platforms (e.g., Azure, Databricks)

Relational databases (e.g., Oracle, Azure SQL)

Understanding of large datasets, data structures, and integration concepts.

Data Governance & Quality

Knowledge of data governance principles, including:

Data quality and validation

Metadata management and data standards

Experience supporting standardized data definitions and consistent data practices across systems.

Communication & Facilitation

Strong communication and documentation skills, with the ability to tailor messaging to technical, business, and executive audiences.

Proven facilitation skills to lead workshops and discussions with diverse stakeholder groups.

Ability to synthesize complex information into clear and concise outputs.

Professional Attributes

Strong analytical and problem-solving skills.

Ability to work independently and collaboratively in fast-paced, multi-stakeholder environments.

High attention to detail and commitment to quality.

Sector Knowledge (Asset)

Experience or familiarity with justice, policing, or corrections data, is an asset.

AI Disclaimer: Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations.

Note: The higher end of the range is intended for absolutely exceptional candidates who meet all must-have requirements and most or all nice-to-have qualifications. The client will evaluate candidates based on both rate expectations and overall skill set when shortlisting.

INCORPORATED RATE RANGE (7.25 billable hours per day)

$84.19/hr - $101.03/hr Inc.

T4 RATE RANGE (7.25 billable hours per day)

$67.35/hr - $80.82/hr T4