Ads Product Finance & Analytics Specialist

Google LLC; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Google LLC in London seeks a skilled financial analyst to support the EMEA GBO Product Finance team with data-driven insights on Search growth, forecast dynamics, and bidding strategies. You will collaborate with Finance, GTM, and Sales to deliver actionable recommendations and robust dashboards.

Leverage SQL, Python or R, and AI-assisted workflows to automate reporting and optimize data pipelines, driving efficiency and strategic impact across the business.

Qualifications

• Bachelor's degree in a quantitative field or equivalent practical experience.
• 4 years of experience in financial analysis, product analytics, business intelligence, or quantitative modeling.
• Experience with coding (e.g., SQL) and querying databases.

Responsibilities

• Deliver data-driven financial insights and recommendations on core Search growth priorities.
• Build cross-functional relationships to align reporting standards and data methodologies across Finance, Sales, and Data Science teams.
• Lead end-to-end investigative projects applying statistical modeling to forecast Search auction dynamics and CPC movements.
• Monitor performance trends and distill complex data into executive-friendly narratives and dashboards.
• Leverage AI tools to optimize data pipelines and automate reporting for deeper insights.

Skills

Financial analytics

SQL

Data analysis

Auction dynamics modeling

AI-assisted analytics

Python or R

Data visualization

Cross-functional communication

Education

Bachelor's degree in Business, Finance, Economics, Statistics or quantitative field

Tools

SQL

Python

R

Job description

Google LLC in London seeks a skilled financial analyst to support the EMEA GBO Product Finance team with data-driven insights on Search growth, forecast dynamics, and bidding strategies. You will collaborate with Finance, GTM, and Sales to deliver actionable recommendations and robust dashboards.

Leverage SQL, Python or R, and AI-assisted workflows to automate reporting and optimize data pipelines, driving efficiency and strategic impact across the business.