At Google, data drives all of our decision-making and Quantitative Analysts work to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets to identify opportunities for Google and our clients to operate more efficiently
Requirements
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
- 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree
- Coding skills (e.g., Python, R, SQL)
- Querying databases
- Statistical analysis
- Data infrastructure
Responsibilities
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer
- Use custom data infrastructure or existing data models as appropriate, using specialized knowledge
- Design and evaluate models to mathematically express and solve defined problems with limited precedent
- Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python)
- Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis
- Develop analyses, models and methods to support and verify the impact of your recommendations
Other
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
- 3 years of work experience
- PhD degree
- Collaboration with Engineers, Product Managers, Sales Associates and Marketing teams
- Consulting on projects, serving on committees and mentoring team members