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Job Details
Posted date: Jun 29, 2026
Location: Kirkland, WA
Level: Senior
Description
Perform deep technical analyses with unstructured data (e.g., logs) to assess the success of the ads platform in delivering optimal performance for advertisers. Investigate fundamental business and product strategy questions, deliver deep insights on specific topics and areas to provoke new feature/product ideas, identify new interventions to drive advertiser value and business impact, identify key drivers of success and anticipate future trends. Design and evaluate experiments to help the team understand how product changes affect advertiser performance. Steward our metrics ecosystem that captures the incremental impact the AP team delivers for Google’s business and our advertisers.The Advertiser Platform (AP) team drives better business outcomes for ads customers through automation and critically important platforms, encouraging long-term investments with Google. The AP Product Analytics (APPA) team enables the AP team to make data-driven decisions by building tooling, maintaining datasets, and by measuring and delivering insights for improving key metrics for our scaled and automated Google Ads products.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Qualifications
Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master's degree).
Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
Extended Qualifications
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master's degree).