Investments Analyst, Data Center & Infra Growth

Requirements Experience: 2–4 years in real estate investment, corporate development, or infrastructure finance (ideally at an investment bank, REIT, developer, or institutional investor)

• Technical Mastery: Advanced Excel skills are a must. You build models from scratch, can model complex partnership waterfalls, and can explain every formula to a senior stakeholder
• Sector Knowledge: Experience with data center, industrial, or infrastructure asset classes is strongly preferred
• Communication: Elite slide/deck skills—you have the ability to translate dense financial data into crisp, executive-ready presentations
• Education: A Bachelor’s degree in a quantitative discipline (Finance, Economics, Mathematics, or Engineering)
• Mindset: A high-ownership, detail-oriented approach. You thrive in fast-paced environments where the "ground truth" of a project evolves quickly

• This is a high-visibility, high-output role where you will own the numbers from initial underwriting through construction, lease-up, and stabilized operations
• You’ll interface regularly with DIG leadership, Finance, Capital Markets, and external JV partners to drive capital allocation and board-level decisions
• Architect the Models: Build, maintain, and stress-test sophisticated financial models for data center developments and investments across the full project lifecycle, from greenfield underwriting to exit
• Drive Capital Raising: Support corporate capital efforts by preparing financial model components for roadshow decks, managing investor data rooms, and executing closing models
• Executive Reporting: Own the preparation of investment reporting materials for internal leadership, the Board of Directors, and external institutional JV partners
• Analyze Performance: Track active development projects, providing budget vs. actual analysis, milestone tracking, and variance commentary to keep projects on course
• Underwrite Growth: Develop underwriting models for cloud and hyperscale customer contracts, conducting deep-dive revenue, COGS, and return analysis at the asset level
• Collaborate Cross-Functionally: Work closely with Real Estate, Energy, Design, Construction, and Operations teams to ensure financial inputs reflect ground-level realities