Job description

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 - comprising the global data centers, networks, and integrated hardware and software that power the internal operations as well as customer-facing products like Google Cloud. Google builds and operates one of the largest private data center fleets in the world. It is a highly complex technical domain backed by vast operating and capital budgets that continue to grow year over year. 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: $141000 - $205000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . • Identify, evaluate, and prioritize risks followed by coordinated and economical application of resources to minimize, monitor, and control the probability or impact of unfortunate events or to maximize the realization of opportunities. • Act as finance partner for data center design engineering organization. • Architect, defend, and maintain sophisticated financial models. Conduct investment and Net Present Value (NPV) analyses on next-generation technical infrastructure to enable structured savings. • Drive large, matrixed programs spanning multiple organizations, ensuring robust financial controls, process optimization, and risk mitigation across the fleet. • Identify and advocate optimization opportunities that bend the cost curve downward, providing Google with a distinct technical and financial competitive advantage. • 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, or an advanced degree. • Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting. • Experience with business partnerships, strategy development, and leadership presentations. 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, or an advanced degree. • Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting. • Experience with business partnerships, strategy development, and leadership presentations. Preferred qualifications: • Experience in data center infrastructure design finance modeling within a fast-paced technology company. • Experience translating complex engineering concepts into disciplined financial projections. • 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 competitive environments, impeccable business judgment for resource allocation decisions to achieve the desired business outcome. • Ability to work with data to produce analysis, influencing decision making with numerical analysis and generating insights.

Requirements

Must-haves

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Act as finance partner for data center design engineering organization.
Architect, defend, and maintain sophisticated financial models. Conduct investment and Net Present Value (NPV) analyses on next-generation technical infrastructure to enable structured savings.
Drive large, matrixed programs spanning multiple organizations, ensuring robust financial controls, process optimization, and risk mitigation across the fleet.
Identify and advocate optimization opportunities that bend the cost curve downward, providing Google with a distinct technical and financial competitive advantage.
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, or an advanced degree.
Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.
Experience with business partnerships, strategy development, and leadership presentations.
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, or an advanced degree.
Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.
Experience with business partnerships, strategy development, and leadership presentations.

Nice-to-haves

US: $141000 - $205000 (USD) + 15% bonus target + equity + benefits
Experience in data center infrastructure design finance modeling within a fast-paced technology company.
Experience translating complex engineering concepts into disciplined financial projections.
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 competitive environments, impeccable business judgment for resource allocation decisions to achieve the desired business outcome.
Ability to work with data to produce analysis, influencing decision making with numerical analysis and generating insights.

Application prep

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Platform: google
Effort: medium