Senior Financial Analyst, Data Cloud Product Finance

About the role

Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. Working on multiple projects at a time, you are focused on the details while finding creative ways to take on big picture challenges. As someone who knows the workings of the core Finance team inside and out, you'll lead individual projects to transform planning, tracking and control processes. You'll provide senior level management with insightful recommendations, planning and reporting support.

Responsibilities

• Serve as the end-to-end finance lead and trusted advisor for BigQuery suite products, guiding VPs and Directors on financial and strategic decisions.
• Lead long-range planning (LRP) and annual planning (AOP) processes, covering revenue, infrastructure costs, and efficiency metrics.
• Foster close partnerships with Strategy and Operations, Engineering, Product, and GTM teams to align financial goals with operational execution.
• Deliver comprehensive monthly financial updates, including continuous forecasting, variance analysis, and deep dives into key financial drivers.
• Play a key role in Business Planning Reviews (BPR), providing thorough pricing and financial analysis for new launches in close collaboration with Product Managers and the Business Planning team.

Requirements

• 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

• MBA or Master's degree in a quantitative or business field.
• Experience in the technology industry, in Cloud Computing, PaaS, or Data Analytics.
• Experience with investigative toolsets and databases (e.g., SQL, business intelligence platforms, advanced spreadsheet modeling).
• Understanding of infrastructure costs (Infra Cost), efficiency metrics, and Pricing/BPR processes and unit cost model.
• Ability to work with ambiguity in a constantly evolving environment and deliver results while building long-term relationships across organizational boundaries.
• Excellent communication and presentation skills, with a track record of influencing executive leadership (VPs, Directors).

Benefits

• Health, dental, vision, life, disability insurance
• Retailment Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Pay

$141,000 - $205,000 (USD) + 15% bonus target + equity + benefits

Schedule

Full-time