Google's YouTube Growth Team needs to develop a unified, holistic view of growth and health across the entire YouTube ecosystem. The primary mission is to establish standards for healthy growth, monitor product areas for performance, and proactively surface and explain critical trends to YouTube leadership, moving beyond localized growth initiatives to provide cross-platform insights that guide major business and product investments.
Requirements
- 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 of experience with a Master's degree.
- 2 years of work experience identifying opportunities for business/product improvement and then defining/measuring the success of those initiatives.
- experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems)
- coding (e.g., Python, R, SQL)
- experience identifying opportunities for business/product improvement and then defining/measuring the success of those initiatives.
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.
- Develop and standardize a comprehensive suite of horizontal growth metrics and health indicators to measure performance across all major YouTube product and feature areas.
- 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.
Other
- 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.
- Help serve Google's worldwide user base of more than a billion people.
- You will weave stories with meaningful insight from data.
- You'll make critical recommendations for your fellow Googlers in Engineering and Product Management.
