The company is looking to improve the effectiveness of its advertising and commerce opportunities by analyzing user behavior and providing relevant insights to cross-functional teams.
Requirements
- 5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL)
- Familiarity with concepts in fraud detection, risk assessment, or business health monitoring, demonstrated through coursework, internships, or project experience.
- Experience in metrics development for Trust and Safety, Risk Analytics or the Advertising Industry.
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- Comprehensive technical knowledge of 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.
- 2 years of experience and a Master's degree (in lieu of 5 years of experience).
