Help serve Google's worldwide user base of more than a billion people by providing quantitative support, market understanding and a strategic perspective to partners throughout the organization
Requirements
- Coding (e.g., Python, R, SQL)
- Analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems)
- SQL
- R
- Python
- Data engineering
- Dashboard design
Responsibilities
- Perform analysis by utilizing tools (e.g., SQL, R, Python)
- Own the process of gathering, extracting, and compiling data across sources via tools (e.g., SQL, R, Python), and format, re-structure, and validate data to ensure quality
- Report Key Performance Indicators (KPIs) to support business reviews with cross-functional/organizational leadership team, and translate analysis results to business insights or product improvement opportunities
- Provide analytical insights and recommendations to influence product feature development decisions, and own and execute the workstream of Pixel dashboards (e.g., data engineering, dashboard design, metrics definitions, and insights sharing)
- Build and prototype analysis and business cases to provide insights, and develop comprehensive knowledge of Google data structures and metrics
Other
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience
- 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) (or 2 years work experience with a Master's degree)
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field (preferred)
- Travel not mentioned
- Clearance not mentioned
