Senior Financial Analyst I

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.
• Experience with programming (i.e. SQL).

Preferred qualifications:

• 7 years of experience in finance, management consulting, corporate strategy, or similar environment.
• Strong in SQL or comparable data analytics tools for data extraction, manipulation, and presentation via dashboards.
• Demonstrated success in building cross-functional partnerships, thriving in dynamic environments, and driving operational excellence.
• Aptitude for leveraging investigative skills to develop compelling business cases.
• Capacity to influence stakeholders at all levels within a matrixed organization.

About the job

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.

In this role, you will act as a trusted advisor to business leadership, ensuring meaningful resource allocation and driving intelligent scenario planning to maximize value and improve operations.

Responsibilities

• Partner with Business Unit and Finance leaders to deliver tailored guidance while coaching junior analysts to uphold high standards in data integrity.
• Architect and manage enterprise-grade models for planning, forecasting, budgeting, variance analysis, headcount planning, and scenario modeling.
• Drive end-to-end profit and loss (P&L) and spend management for Core AI Systems and AI Foundations across key cycles, including MEC, forecasting, AOP, and LRP.
• Perform value-creation and financial analyses, delivering regular reporting and executive-ready narratives with actionable business recommendations.
• Streamline financial workflows and drive operational efficiency by leveraging emerging technologies and AI to automate manual processes.