Minimum qualifications:
- Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
- 7 years of experience with statistical data analysis and SQL.
- 5 years of experience with data mining, querying, and managing analytical projects.
- 3 years of experience developing and managing metrics or evaluating programs/products.
Preferred qualifications:
- 5 years of experience in scripting or statistical analysis (e.g., R, Stata, SPSS, SAS) in a matrixed organization.
- 3 years of experience preparing and delivering technical presentations to executive leadership.
About the job
At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job you also figure out the solution.
Through your professional expertise and judgment, you work on multiple projects concurrently, developing analyses, models and methods to support and verify the impact of your recommendations. You share your expertise by consulting on projects, serving on committees and mentoring team members.
Responsibilities
- Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide investigative thought leadership through proactive and strategic contributions (e.g., suggests new analysis, infrastructure or experiments to drive improvements in the business).
- Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of investigative/statistical models, and presentation to stakeholders.
- Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypothesis, and making recommendations from a perspective that combines both, investigative and product-specific expertise.
- Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives.
- Oversee the contributions of others and develop colleague's capabilities in the area of specialization.
