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
- 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL)
- Coding skills in Python, R, SQL
- Comprehensive technical knowledge of data infrastructure or existing data models
- Experience with custom data infrastructure or existing data models
- Knowledge of Google data structures and metrics
Responsibilities
- Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Using comprehensive technical knowledge, use custom data infrastructure or existing data models.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality.
- Report Key Performance Indicators (KPIs) to support business reviews with cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
- Provide analytical insights and recommendations to influence product feature development decisions, and with some guidance.
- Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics.
Other
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
- 5 years of work experience with analysis applications
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field (preferred)
- Ability to communicate findings to a team leader
- US work authorization
