Data Scientist/Analyst, Corporate Financial Planning and Analysis

Minimum qualifications:

• Bachelor's degree in Analytics, Data Science, Economics, Statistics, or another quantitative field, or equivalent practical experience.
• 5 years of experience in financial planning and analysis, data science consulting, or a related function.

Preferred qualifications:

• Track record of pushing the boundaries of data and developing novel approaches to shed new light on difficult questions.
• Knowledge of advanced analytics techniques and capabilities.
• Ability to grow in a fast-paced environment, and maintain executive presence and perspective in the midst of changing timelines and rapid decision making.
• Strong business acumen with an understanding of business drivers and value-creation.
• Excellent problem-solving and strategic skills, with the ability to draw insights from data and manage recommended actions.
• Excellent detail oriented, with continual process improvement.

About the job

Business Analysts ensure that Google makes effective business and operational decisions. As a Business Analyst, your work, whether it's modeling business scenarios, tracking performance metrics or building metrics that matter, is used by our leaders to make strategic company decisions. Working on multiple projects at a time, you'll focus on the details while finding creative ways to take on big picture challenges. You'll lead individual projects to transform planning, tracking and control processes, as well as provide executive level management with insightful recommendations, planning and reporting support.

Google’s Corporate Financial Planning and Analysis (FP&A) team focuses on decisions, projects, and processes that impact the entire business. We provide Google’s executive leadership with the information and insights they need to set and implement strategy, measure performance, and provide a clear view of the future.

As a Data Science/Analyst for the Business Performance team, you will engineer the predictive models and AI-driven frameworks that power Google’s profit and loss forecasting. Beyond traditional reporting, you will be responsible for architecting advanced scenario simulations to project Alphabet’s future margin profile and surface algorithmic insights to Corporate FP&A leadership. You will drive the global standardization of financial metrics by partnering with the DNA team to optimize the CFO dashboard as a single source of truth. You will combine your deep data science expertise with broad financial acumen to influence strategy and automate decision-making across the enterprise.

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

• Architect and train sophisticated statistical models (e.g., time-series forecasting, regression) to project in-year performance and long-term margin trajectories across all profit and loss lines.
• Apply advanced data science techniques to detect anomalies, identify emerging macro-trends, and simulate complex business scenarios that directly inform C-level decision-making.
• Lead the technical optimization of the centralized CFO (Chief Financial Officer) dashboard, ensuring the underlying data pipelines and visualization layers deliver real-time, standardized Key Performance Indicators (KPIs).
• Design and implement GenAI and machine learning workflows to automate routine FP&A tasks, drastically reducing manual effort and increasing forecast accuracy.
• Own the algorithmic logic and data governance for Corporate FP&A, acting as the custodian for all financial outputs.