Staff Product Analyst

Minimum qualifications:

• Masters degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
  
• 7 years of experience with statistical data analysis.
  
• 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 complex, matrixed organization.
  
• 3 years of experience preparing and delivering technical presentations to executive leadership.
  
• Experience in identifying opportunities for product improvement and defining/measuring the success of those initiatives.
  
• Understanding of Video conferencing and general WebRTC topics.
  
• Track record of solving unstructured business problems with data science, translating results into impactful business recommendations, and measuring the success of those initiatives.
  

About the job

Help serve Googles worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. Youll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide thought leadership through proactive and strategic contributions (e.g., suggests new analyses, 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, implementation of analytical/statistical models, and presentation to stakeholders.
  
• Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical 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 directly or indirectly and develop colleagues’ capabilities in the area of specialization.
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Googles EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.