Senior Financial Analyst, Northern Europe GBO Finance

GBO Finance provides financial and analytical support and advice to Google’s Global Business Organization (GBO). Our work is integral to the operations and strategy of the commercial teams across all our advertising products. From understanding market and usage trends to exploring the productivity and return of our various investments, the GBO Finance organization is an important partner and independent advisor to the commercial leaders in our company.

In this role, you will serve as the Lead Analyst for Northern Europe (NE), partnering closely with the NE GBO Finance Lead to provide strategic and operational finance support to the Northern Europe Vice President and Leadership Team. You will act as a trusted counsel and analytical powerhouse, delivering executive-level financial insights, guiding commercial evaluations, and supporting resource allocation across this critical and dynamic EMEA cluster. As a Senior individual contributor and thought partner, you will combine exceptional commercial acumen and stakeholder influence with deep technical accuracy, and be energized by our mission to be the 'AI-Enabled CFOs of GBO'.

You will independently navigate large, complex datasets to craft compelling executive narratives, lead core operational cadences, and deputize for the Finance Lead in leadership forums as needed. You will effectively balance the role of advocate and challenger to support and constructively challenge commercial leaders. In this impactful role, you will be a professional who thrives in ambiguity, prioritizes with high autonomy, and drives scalable innovation across businesses and financial processes.

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.

Responsibilities:

• Partner closely with the NE GBO Finance Lead to advise commercial leadership, providing proactive data-driven counsel, influencing VP-level decisions, and deputizing in key operational forums.
• Drive end-to-end annual planning, quota and goal setting, and ongoing performance reviews across Northern Europe Large Customer Sales, leading operational reviews and revenue optimization.
• Lead weekly trading calls and deliver critical Quarterly Business Review finance inputs to guide commercial execution and strategic investment trade-offs.
• Own the cluster's financial reporting architecture by leveraging SQL and Google sales platforms to build and scale robust pipelines and dashboards.
• Leverage Generative AI tools, Python, and advanced SQL to automate recurring workflows, eliminate operational friction, and enhance analytical depth to advance an AI-first finance organization.

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 in data analytics, SQL, and dashboards.

Preferred qualifications:

• Experience partnering with, influencing, and presenting to executive commercial leadership (Director and VP level), with the ability to balance advocate and challenger dynamics and build trusted cross-functional relationships without formal authority.
• Experience in designing, developing and maintaining reports, dashboards and data visualizations.
  
• Familiarity with digital advertising products, Go-To-Market (GTM) motions, and commercial business models.
• Demonstrated ability to grow in ambiguity, build structured financial models and frameworks from scratch, and manage multiple complex priorities independently.
• Strong interest in and aptitude for leveraging automation, Python, and Generative AI tools to solve business problems, optimize reporting, and enhance analytical efficiency.