Senior Financial Analyst I

About the job

The Supply Chain Finance Team's mission is to be the indispensable strategic partner that optimizes the end-to-end cost structure, establishes resilient financial governance, and accelerates profitable growth by leveraging advanced data analytics, risk management and data driven insights.

In this role, you will have the opportunity to work on one of Google’s most exciting product areas -- Platforms and Devices (PA).

This area includes Pixel phones, Pixel Buds, Pixel Watch, Fitbit, Nest Cameras and many more. Your responsibilities will include designing/improving critical financial infrastructure to support the business, track performance and optimize cost structures.

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 in Corporate FP&A in the technology industry, including Hardware Finance or Operations.
• Proficient with SAP, Tableau, and modern AI productivity tools.
  
• Proven track record of cross-functional collaboration and stakeholder alignment.
  
• Ability to stay organized, take initiative, remain detail-oriented, and navigate business ambiguity.
• Exceptional presenting skills with the confidence to influence senior management.
  
• Skilled in reporting, analysis, and management of Product Costing and COGS.
  

Responsibilities

• Lead budgeting, planning, forecasting, reporting, and monthly close activities for device and hardware Cost of goods sold (COGS).
• Build complex models and deliver analytical insights to influence executive decisions on COGS, profitability, and resource allocation.
• Partner with Product, Engineering, Supply Chain, and Finance to set cost goals and monitor performance trends.
• Manage portfolio planning cycles (LRP/AOP) and identify business trends impacting financial risk to drive scalable growth.
• Drive AI integration within forecasting and operational workflows to automate inputs and improve modeling accuracy.