Senior Financial Analyst

The Revenue tower within the Google Cloud Finance Optimization Office is a nimble group of subject matter experts who positively shape the systems and data landscape for the Cloud organization as it relates to Revenue, Bookings, Backlog and Sales Compensation. As a member of this team, you’ll leverage your finance, accounting, systems architecture, and production support knowledge to work with cross-functional organizations (Finance, Engineering, Sales, etc.) to develop/enhance solutions for Cloud financial processes or to enable the Cloud business to expand into new products, regions, or business models while remaining compliant with financial responsibilities. You will move fast while keeping your attention to detail, and you tap into your problem-solving skills to support Google Cloud's business objectives.

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

US: $141000 - $206000 (USD) + 15% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Minimum qualifications:

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

Preferred qualifications:

• Experience with building data infrastructure (e.g., designing architecture, building data pipelines, implementing scalable monitoring) and implementing reporting solutions.
  
• Experience in developing strategies in fast-moving engaged environments, impeccable business judgment for resource allocation decisions to achieve the desired business outcome.
• Leadership experience with complex strategic and operational initiatives, across multiple products, functions, and geographies.
  
• Ability to work with data to produce analysis, influencing decision making with numerical analysis and generating insights.
  
• Ability to take ownership, confidence to interact with all levels, set objectives, drive results, and be a team player.