About this role

Google is hiring a mid-level Financial Analyst in the finance function based in Mountain View, CA. The posting calls out experience with SQL, Data Analytics. Compensation is listed at $116,000–$167,000 per year.

Role: Financial Analyst
Function: finance
Level: mid
Track: Individual contributor
Employment: Full-time
Location: Mountain View, CA
Posted: Jul 13, 2026

Job description

from Google careers

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.

Join the PDCO (Platforms and Devices Commercial Organization) finance team as a Strategic Financial Analyst.

In this role, you will be a key contributor to managing the financial health of the business and evaluating critical growth initiatives. This position provides an excellent opportunity to gain a holistic view of financial planning and analysis (FP&A) in a unique subscription-based hardware and services model. You will partner across cross-functional teams, including go-to-market (GTM), Product, Engineering, and central finance teams, to evaluate performance, run scenario analyses, and provide structured, data-driven recommendations.

The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.

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

US: $116000 - $167000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Support monthly forecasting, annual operational planning, and long-range planning. Analyze top-line and bottom-line trends, highlighting key drivers of revenue and variable cost fluctuations.
Build flexible financial models to evaluate promotional structures, device pricing strategies, user unit economics, assessing trade-offs between subscriber growth and per-user business growth.
Serve as trusted finance partner to cross-functional teams, executing standard financial reviews to track operational results, performance against plan, and milestone progressions.
Streamline data infrastructure and improve execution. Leverage analytics tools and automated scripts to solve fragmented data bottlenecks and reduce manual reporting workflows.
Partner with teams to manage hardware promotion financial frameworks and investment rationales. Model promotional return on investment, evaluate co-investment assumptions, track budgets to drive subscriber growth and optimize unit economics.

Minimum qualifications:

Bachelor's degree in Business, Finance, Economics, Statistics, another quantitative field, or equivalent practical experience.
4 years of experience in Financial Planning and Analysis (FP&A), consulting, or a related function, or an advanced degree.

Preferred qualifications:

Ability to adopt and integrate within planning, forecasting and operational processes to reduce manual effort, improve scenario modeling accuracy, and enable automated plan inputs.
Excellent written and verbal communication skills, with the ability to summarize financial structures into clear insights for business partners.
Excellent financial modeling skills in Google Sheets and proficiency with database querying languages (e.g., SQL/business intelligence platform) to pull and structure fragmented data sets.