Senior Financial Analyst - Cloud Finance

Crusoe · Data AI · San Francisco, CA - US · Accounting and Finance

This role is for a Senior Financial Analyst focused on Financial Planning & Analysis for Crusoe's Cloud business. Responsibilities include budgeting, forecasting, financial analysis for deals, capital investment analysis, and cost/unit economics. The role requires 3+ years of experience in finance, strong financial modeling skills, and a Bachelor's degree. Bonus points for experience in AI, cloud infrastructure, or data center economics.

What you'd actually do

  1. Partner with Cloud business leaders to create accurate monthly P&L / capex forecasts and annual budgets, ensuring timely tracking and performance analysis
  2. Contribute to the company’s 3–5 year financial plan, incorporating revenue projections, capacity forecasts, capex plans, and competitive benchmarks into a unified strategic roadmap
  3. Conduct financial analysis and modeling for customer deals — evaluating pricing, contract terms, ROI, and margin impact to support the sales team and ensure deals meet financial thresholds
  4. Support financial modeling for infrastructure investment decisions including GPU purchases, colocation site evaluations, and build-vs-buy analysis for data center opportunities
  5. Support GPU total cost of ownership (TCO) analysis, capex forecasting, depreciation modeling, and cost benchmarking across the deployment portfolio

Skills

Required

  • 3+ years of experience in investment banking, venture capital, financial planning & analysis, or corporate finance
  • Excellent skills in financial modeling and forecasting
  • Strong interpersonal, written, and oral communication skills
  • Team player who can work well independently and with limited direction
  • Working knowledge of accounting principles and financial statements
  • Detail-orientation with a focus on accuracy and precision
  • A Bachelor's degree

Nice to have

  • MBA or technical degree (e.g., engineering, math, economics)
  • Experience in businesses related to artificial intelligence, cloud infrastructure, enterprise software, and/or AI chip development
  • Experience with data center economics, GPU infrastructure, or cloud consumption-based business models
  • Familiarity with capex-intensive businesses and infrastructure investment analysis