Portfolio Analyst, Data & AI - RQ00467

Junior Portfolio Analyst, Data & AI - RQ00467

1 year contract

3 days onsite (Brampton, Toronto, or Calgary)

The IT Portfolio Analyst supports strategic decision-making and operational excellence across the Data & AI portfolio. This role contributes to portfolio-level insights, resource and financial planning, and governance through effective tooling and reporting. The ideal candidate has experience in portfolio management practices, is proficient with tools like Jira and Power BI, and thrives in a collaborative, improvement-focused environment.

Key Responsibilities

1. Portfolio Management & Governance

• Support the maintenance and evolution of portfolio lifecycle frameworks in alignment with enterprise strategy.
• Assist with intake, prioritization, and benefits tracking across business units.
• Monitor portfolio health, risks, and dependencies, and provide insights to leadership.

2. Tooling & Data Integration

• Maintain and configure portfolio management tools (e.g., Jira) to ensure accurate data and workflow alignment.
• Build and update Power BI dashboards to support decision-making and provide visibility into portfolio performance.

3. Financial & Resource Planning

• Support budget tracking and analysis, including actuals vs. forecasts, and assist in quarterly planning cycles.
• Contribute to capacity modeling and resource forecasting to support workforce planning.

4. Process Improvement

• Identify opportunities to streamline portfolio processes and support automation and standardization efforts.
• Collaborate with PMO and delivery teams to enhance portfolio maturity and tooling capabilities.

5. Stakeholder Engagement & Communication

• Provide data-driven insights and recommendations to delivery and business partners.
• Facilitate collaboration between business, technology, and finance teams.
• Assist in preparing and delivering portfolio reviews and strategic updates.

Must-Haves:

• 2-4 years of experience supporting data and/or AI projects, with familiarity in data platforms and delivery practices.
• Experience managing a portfolio and knowledge of portfolio lifecycle frameworks and governance models.
• Jira: Experience with configuration and reporting.
• Power BI: Ability to build and maintain dashboards using integrated data sources.
• Experience in budget tracking and variance analysis.
• Exposure to capacity modeling and workforce planning.