Senior Financial Analyst I

Minimum qualifications:

• Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
• 7 years of experience in financial planning and analysis (FP&A), consulting, or a related function.
• Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.

Preferred qualifications:

• Experience with SQL, large datasets, and integrated financial systems including advanced investigative skills.
• Deep knowledge of Cloud infrastructure, AI/ML hardware (e.g., GPUs/custom silicon).
• Ability to balance immediate free cash flow maximization with long-term priorities in a changing, unstructured environment.
• Exceptional communication skills with the ability to influence Directors and VPs across Engineering, Product, Strategy.
• Proven track record of streamlining complex, cross-functional planning cycles and building "single source of truth" models for complex and capital intensive infrastructure planning mechanisms.

About the job

Cloud is a priority for Google. We develop groundbreaking cloud solutions, including Google Cloud Platform and Google Workspace, to enable our clients’ digital transformation.

Our Finance team ensures that Cloud Product, Capacity and TI organizations make sound financial decisions for investments in the Cloud business. We are an important partner and advisor to the Cloud leaders, providing them financial, investigative insight.

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Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $141000 - $205000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

Responsibilities

• Work alongside Capacity, TI and DC planning to anticipate capacity constraints and implement efficiency gains that improve unit economics and overall profit and loss (P&L).
• Develop profit and loss and margin models to articulate margin drivers to the executive leadership.
• Develop NPV and cash flow models to evaluate profitability for future NPI platforms and benchmark against other competitive products.
• Partner with Engineering, TI, and PM to analyze the performance and Total Cost of Ownership (TCO) for AI Product SKUs, incorporating these insights into customer proposals.
• Partner with Cloud Product, Capacity and Engineering on various efficiency initiatives to utilize infra and develop next year efficiency goals.

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