Financial Analyst, EMEA GBO Central Finance · Google

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. While working on multiple projects at a time, you are focused on the details while finding creative ways to solve big picture challenges.

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.

Lead the EMEA Large Customer Sales quarterly goals setting and governance process, ensuring sales quotas are aligned with ambitious business goals.

Own and refine the data driven quota models and frameworks. You will lead the AI transformation of our process to deliver enhanced value for business delivery.

Drive the centralization of quota setting across EMEA clusters, moving from a fragmented market-by-market approach to a unified, data-driven workflow. (e.g., automating baseline quota allocations to save time for both Finance and Sales teams while maintaining high accuracy).

Navigate large, complex datasets to produce goals for executive leadership. You will manage data-driven guardrails and conduct in-depth search performance analyses to benchmark model accuracy against actuals.

Act as a primary bridge between Finance and Sales leadership, partnering with Finance Leadership to land quotas.

Minimum qualifications:

Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.

4 years of experience in financial planning and analysis (FP&A), consulting, or a related function, or an advanced degree.

Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.

Experience with programming (e.g., SQL).

Preferred qualifications:

Experience with building data infrastructure (e.g., designing architecture, building data pipelines, implementing scalable monitoring) and implementing reporting solutions.

Experience in developing strategies in changing environments, impeccable business judgment for resource allocation decisions to achieve the desired business outcome.

Ability to work with data to produce analysis, influencing decision making with numerical analysis and generating insights.

Ability to take ownership, confidence to interact with all levels, set objectives, drive results, and be a team player.

Excellent communication skills with the ability to work with a wide variety of departments.