About the Role
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.
Responsibilities
•Translate macroeconomic data, central bank notes, and broker forecasts into commercial insights for EMEA Large Customer Sales (LCS).
•Provide macro scenario analysis to evaluate advertiser demand shifts across core EMEA markets.
•Evaluate quarterly competitive dynamics across digital ad formats and cross-border disruptors.
•Conduct Alphabet and competitor earnings readouts highlighting market share shifts and industry growth.
•Maintain category mapping rules and dataset integrity in Connect Sales SoW repositories.
•Conduct macro horizon scanning and regulatory risk sizing with Legal, GTM and Government Affairs.
•Quantify financial exposure bounds and scenario models for Leadership Reviews.
•Feed macroeconomic insights into central executive storytelling and strategic narratives.
•Perform impact sizing and diagnostics for pilots and strategic workstreams.
•Deploy Large Language Models (LLMs) and AI agents to automate ingestion and synthesis of market research.
Requirements
•Bachelor's degree in Economics, Econometrics, Finance, Statistics, Mathematics, or equivalent practical experience.
•7 years of experience in research, commercial finance, management consulting, or economic analysis.
•Experience in evaluating macroeconomic trends (e.g., Gross Domestic Product, interest rates, Consumer Price Index, Foreign Exchange, advertising market forecasts) and translating them into business recommendations.
•Experience with data extraction and processing using SQL (e.g., relational datasets).
Nice to Have
•Experience within the digital advertising, media, or technology sectors, with direct exposure to agency business models and digital auction dynamics.
•Experience building Share of Wallet (SoW) frameworks, competitor benchmarking models, and commercial risk-sizing matrices.
•Experience leveraging Generative AI, LLMs, or modern automation tools to automate unstructured document ingestion and scale analytical workflows.
•Technical proficiency in statistical programming languages (e.g., Python, R) to model macroeconomic time-series data and build automated forecasting modules.
•Exceptional executive communication and narrative synthesis skills, with the ability to summarize complex economic phenomena into crisp, decision-grade briefing memos for Director leadership.
Conditions
No conditions stated in the posting.
