Senior Financial Analyst I

Google•Mountain View, CA

5d•$141,000 - $205,000

About The Position

The Supply Chain Finance Team serves as a strategic partner focused on optimizing end-to-end cost structure, establishing resilient financial governance, and accelerating profitable growth through data analytics, risk management, and data-driven insights. This role supports Google’s Platforms and Devices area, which includes products such as Pixel phones, Pixel Buds, Pixel Watch, Fitbit, and Nest Cameras. The position designs and improves financial infrastructure to support the business, track performance, and optimize cost structures.

Requirements

Bachelor’s degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
Seven 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.

Nice To Haves

Experience in Corporate FP&A in the technology industry, including Hardware Finance or Operations.
Proficiency 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 presentation skills and confidence influencing senior management.
Skill 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 affecting financial risk to drive scalable growth.
Drive AI integration within forecasting and operational workflows to automate inputs and improve modeling accuracy.