Division Engineering Portfolio Analyst

Role Purpose

The Division Engineering Portfolio Analyst supports the day-to-day management and analysis of the Engineering Portfolio. This role ensures the accuracy and timely updates of project data for Fusion Tech & Engineering, aligned with the broader technology strategy and roadmap. The analyst provides financial tracking, forecasting, and analytical insights to support resource optimization and strategic decision-making.

Key Responsibilities

1. Major Responsibilities

• Maintain and validate portfolio projects, ensuring data accuracy and completeness.
• Analyze project updates and trends to support prioritization and decision-making.
• Monitor capital expenditures against budgets and forecasts.
• Support team leader with insights on portfolio alignment, Appropriation Request (AR) excellence and spending review.
• Assist in prioritizing Division Engineering (D&E) projects based on the technology roadmap and budget constraints.
• Identify and implement improvements to portfolio management tools, reporting workflows, and decision-making processes.

1. Key Decision Areas

• Recommend capital allocation strategies and spending levels across the portfolio,
• Propose enhancements to forecasting accuracy and portfolio analysis tools.

3. People ResponsibilitiesGood communication skills at all levels, this person will interact on a frequent basis with our finance analysts and leaders, division engineering staff and project managersThis role will report to Division Engineering Capital/Expense Portfolios Lead

4. Quantitative ResponsibilitiesTrack and analyze capital spending to ensure alignment with forecasts and budgets.Partner with finance and engineering teams to improve forecast precision and reporting quality.

Competencies (knowledge, skills, and behaviors)

Experiences/Education - Required

• Undergraduate degree in engineering preferred. Master in Business Administration (MBA) a plus
• Demonstrated comfort with technology
• Financially savvy, ability to work with cost analysis (cost modelling skills highly preferred)

• Proficiency in portfolio management and data analysis tools (e.g., Excel, Power BI, or similar).
• Project management experience and demonstrated skills
• Comfortable working with digital platforms and tools for portfolio tracking.

Experiences/Education - Desired