Empower Google organization to make informed, data-driven product and strategy decisions by delivering actionable insights and optimizing the developer experience
Requirements
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL)
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
- Coding skills (e.g., Python, R, SQL)
- Experience with statistical analysis
- Experience with data analysis and modeling
- Experience with causal inference
Responsibilities
- Translate ambiguous or open-ended problems into well-scoped, quantifiable analytical projects
- Define and own key product and business metrics, and build a dashboard to track them
- Lead the in-depth search analysis to uncover insights to improve product performances and developer experience
- Apply technical expertise with observational data analysis, modeling, and causal inference to answer the most important product questions
- Partner closely with Product, Engineering, StratOps and cross-functional teams to influence, prioritize and support product strategy
- Deliver effective presentations of data-driven insights and recommendations to multiple levels of stakeholders
- Ensure organization Objectives and Key Results (OKRs) are supported by well-defined, measurable metrics
Other
- Bachelor's degree in a related quantitative field
- 8 years of work experience (or 5 years work experience and a Master's degree)
- Master's degree in a related quantitative field
- Ability to work with cross-functional teams
- Ability to deliver effective presentations to multiple levels of stakeholders
