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. 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. We are Data Cloud product finance team supporting Google Cloud Platform’s ecosystem of data management and analytics solutions. Our focus centers on managing the financial strategy for enterprise data technologies—such as scaling multi-model capabilities and winning Database and Data Analytics workload—empowering enterprise customers across verticals to achieve profound organizational transformation through innovation. Our team supports the Product, Engineering, and Operations teams that build and promote Google Cloud’s Data Cloud products. We manage the product profit and losses (P&Ls), including business, infrastructure expenses, payroll, and other operating expenses. We are an integral partner and strategic financial advisers to the Cloud leadership team, advising on how to invest resources, accelerate commercial database migrations, and grow a sustainable business. 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 . • Serve as the end-to-end finance lead and trusted advisor for BigQuery suite products, guiding VPs and Directors on financial and strategic decisions. • Lead long-range planning (LRP) and annual planning (AOP) processes, covering revenue, infrastructure costs, and efficiency metrics. • Foster close partnerships with Strategy and Operations, Engineering, Product, and GTM teams to align financial goals with operational execution. • Deliver comprehensive monthly financial updates, including continuous forecasting, variance analysis, and deep dives into key financial drivers. • Play a key role in Business Planning Reviews (BPR), providing thorough pricing and financial analysis for new launches in close collaboration with Product Managers and the Business Planning team. • 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. • Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting. 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. • Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting. Preferred qualifications: • MBA or Master's degree in a quantitative or business field. • Experience in the technology industry, in Cloud Computing, PaaS, or Data Analytics. • Experience with investigative toolsets and databases (e.g., SQL, business intelligence platforms, advanced spreadsheet modeling). • Understanding of infrastructure costs (Infra Cost), efficiency metrics, and Pricing/BPR processes and unit cost model. • Ability to work with ambiguity in a constantly evolving environment and deliver results while building long-term relationships across organizational boundaries. • Excellent communication and presentation skills, with a track record of influencing executive leadership (VPs, Directors).

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 .
Serve as the end-to-end finance lead and trusted advisor for BigQuery suite products, guiding VPs and Directors on financial and strategic decisions.
Lead long-range planning (LRP) and annual planning (AOP) processes, covering revenue, infrastructure costs, and efficiency metrics.
Foster close partnerships with Strategy and Operations, Engineering, Product, and GTM teams to align financial goals with operational execution.
Deliver comprehensive monthly financial updates, including continuous forecasting, variance analysis, and deep dives into key financial drivers.
Play a key role in Business Planning Reviews (BPR), providing thorough pricing and financial analysis for new launches in close collaboration with Product Managers and the Business Planning team.
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.
Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.
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.
Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.

Nice-to-haves

US: $141000 - $205000 (USD) + 15% bonus target + equity + benefits
MBA or Master's degree in a quantitative or business field.
Experience in the technology industry, in Cloud Computing, PaaS, or Data Analytics.
Experience with investigative toolsets and databases (e.g., SQL, business intelligence platforms, advanced spreadsheet modeling).
Understanding of infrastructure costs (Infra Cost), efficiency metrics, and Pricing/BPR processes and unit cost model.
Ability to work with ambiguity in a constantly evolving environment and deliver results while building long-term relationships across organizational boundaries.
Excellent communication and presentation skills, with a track record of influencing executive leadership (VPs, Directors).

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sql

Platform: google
Effort: medium