Qualifications

Minimum qualifications:

• Master\'s degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
  
• 5 years of experience with statistical data analysis, data mining, and querying (e.g. SQL).
  
• 3 years of experience managing analytical projects.
  

Preferred qualifications:

• 5 years of experience in scripting, statistical analysis (e.g., R, Stata, SPSS, SAS), developing and managing metrics, and evaluating programs/products.
  
• 3 years of experience working in a complex, matrixed organization.
  
• 1 year of experience preparing and delivering technical presentations to executive leadership.
  

Summary

• Master\'s degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
  
• 5 years of experience with statistical data analysis, data mining, and querying (e.g. SQL).
  
• 3 years of experience managing analytical projects.
  

Description

Our Mission is to power RTC (Google Meet and Voice) Product and Engineering Decisions with Data Science.

We are a team of Analysts and Data Scientists working primarily on all parts of Google Meet and providing some support for Google Voice as well.

We directly support PM\'s, Engineers, Designers, and Researchers for the betterment of our users and products through experimentation and data-driven work.

Our typical work helps shape the strategic direction of the product(s) and helps answer tough ambiguous questions from the products most senior leaders across Engineering and PM.

Responsibilities

• Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.
  
• Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues.
  
• Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
  
• Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development.
  
• Influence across teams to align resources and direction.