The Ads Privacy and Safety team at Google is looking to drive data-driven decision-making to ensure regulatory compliance and unlock growth opportunities within Google Ads, safeguarding billions in business while enhancing user trust. This involves navigating the landscape of privacy laws and regulations, developing quantitative models and frameworks that enable Google Ads to adapt and thrive, analyzing the impact of evolving regulations, quantifying risks and opportunities, and generating actionable insights that inform product development, policy adjustments, and using user preference and consented signals effectively for Ads targeting.
Requirements
- coding (e.g., Python, R, SQL)
- performing statistical analysis
- using analytics to solve product or business problems
- Knowledge of financial forecasting, scenario analysis and risk assessment for Ads.
- Familiarity with global privacy regulations (e.g., General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), Digital Markets Act (DMA)) and their implications relevant to technology companies.
Responsibilities
- Perform analysis utilizing relevant tools (e.g., SQL, R, Python).
- Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.
- Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues.
- Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team.
- Translate analysis results to business insights or product improvement opportunities.
- Build and prototype analysis and business cases iteratively to provide insights at scale.
- Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development.
Other
- New York, NY, USA; Kirkland, WA, USA
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.
- 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).
