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описание
GBO Finance provides financial and analytical support and advice to Google’s Global Business Organization. The organization supports commercial teams across Google’s advertising products by analyzing market and usage trends, evaluating productivity and investment returns, and advising commercial leaders.
задачи
Partner closely with the NE GBO Finance Lead to advise commercial leadership, provide proactive data-driven counsel, influence VP-level decisions, and deputize in key operational forums;
Drive end-to-end annual planning, quota and goal setting, and ongoing performance reviews across Northern Europe Large Customer Sales;
Lead operational reviews and revenue optimization;
Lead weekly trading calls and deliver critical Quarterly Business Review finance inputs;
Guide commercial execution and strategic investment trade-offs;
Own the cluster's financial reporting architecture using SQL and Google sales platforms;
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.
требования
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;
Ability to partner with, influence, and present to executive commercial leadership at Director and VP level;
Ability to balance advocate and challenger dynamics and build trusted cross-functional relationships without formal authority;
Demonstrated ability to grow in ambiguity, build structured financial models and frameworks from scratch, and manage multiple complex priorities independently;
Nice to have: Experience designing, developing, and maintaining reports, dashboards, and data visualizations; familiarity with digital advertising products, Go-To-Market (GTM) motions, and commercial business models; strong interest in and aptitude for automation, Python, and Generative AI tools.