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. While working on multiple projects at a time, you are focused on the details while finding creative ways to solve big picture challenges.
Technical Infrastructure (TI) is the backbone of Google - the global data centers, networks and integrated hardware and software that power both Google customer products and services, including Google Cloud, and our internal operations. Google builds and operates one of the largest private data center fleets in the world. It is a complex technical area with very large operating and capital budgets growing year over year.
The TI Finance mission is to partner cross-functionally drive optimal decision-making, provide insights for strategic and tactical decisions, and bend the cost curve down.
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 + 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.
- 4 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-paced engaged environments, with impeccable business judgment for resource allocation decisions to achieve the desired business outcome.
- Experience developing financial models to evaluate the return on investment (ROI) of infrastructure projects.
- Ability to work with data to produce analysis, influencing decision making with numerical analysis and generating insights.
- Excellent communication skills with the ability to work with a wide variety of departments.