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.
Google Cloud Platform is changing the way the world accesses compute power. As global compute capacity rapidly shifts to the public cloud and artificial intelligence (AI) and machine learning (ML) take flight, Google Cloud delivers virtualized compute, big data/analytics, and machine learning tools to its customers at scale and speed, exposing Google’s infrastructure to external customers. Google Cloud is a growing product area at Google.
In this role, you will support the Product, Engineering, and Operations teams that build and promote Google Cloud products. Within Cloud Expansion Finance, you will oversee new product launches, data center launch planning, and long range planning for existing infrastructure (including Google sites, third-party sites, and networking infrastructure), and more.
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.
The US base salary range for this full-time position is $142,000-$205,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Partner with cross-functional finance, planning, and product teams to provide "Go/No-Go" recommendations for data center expansions and procurement.
- Manage the evolution of data center cost guardrails and analyze lease agreement structures to align with profit and loss health and workload-specific requirements.
- Collaborate with capacity planning to model scenarios for location-specific supply-demand matching and recommend deployment paths.
- Direct the 5-year power and business forecasting for new regions, integrating inputs from go-to-market (GTM), data science, and operations.
- Present financial narratives, capital expenditure/operating expenditure (CapEx/OpEx) efficiency opportunities, and roadmaps to stakeholders across cloud and technical infrastructure leadership.
Qualifications
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 financial planning and analysis functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.
- Experience in financial modeling in a capital-intensive industry (data centers, energy, or infrastructure real estate investment trusts (REITs)).
- Experience with programming (e.g., SQL).
Preferred qualifications:
- Experience in spend management, budget planning cycles, and profit and loss management.
- Knowledge of the cloud infrastructure, specifically self-built and third party data center.
- Ability to self-direct in an unstructured, changing environment and remain comfortable with ambiguity.
- Excellent quantitative, written, and presentation skills with experience presenting to executive management.