Minimum qualifications:

• Bachelor's degree or equivalent practical experience.

• 12 years of experience creating analytics programs at scale through internally built tools or vendor relationships.

• Experience with AI/ML methods and techniques in an academic or industry setting.

Preferred qualifications:

• PhD in Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering, or a related quantitative discipline.

• Experience articulating business questions and using mathematical techniques to arrive at an answer while using available data.

• 12 years of experience in the technology industry as a statistician or data scientist.

• 5 years of experience leading a team of Business or People Analysts.

• Experience in statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods.

• Ability to select the right statistical tools given a data analysis problem.

At Google, data drives all of our decision-making, and our HR organization is no exception. The People Analytics team acts as an internal innovation lab, using analytical approaches to make sure Google continues to be a great place to work. The team provides critical support to the business around issues of organizational health and is responsible for not just taking the pulse of our Googlers, but harnessing Googler feedback to drive change for the better. As an analyst you'll be detail-oriented and conscientious, analytical and curious. You're a strong problem-solver, who uses both quantitative and qualitative methods to get things done. And on top of it all, you're someone who wonders "What if?" and then seeks out the solution.

In this role, you will develop People Analytics strategy on the application of AI and ML in our field, along with principles for responsible AI and prioritization frameworks to identify key projects. You'll lead the Data Science team's efforts to develop and deliver dynamic AI/ML capabilities to optimize people decisions across the employee lifecycle. You will work with large datasets, solve difficult analysis problems, and apply advanced analytical methods to build and prototype analysis pipelines iteratively to provide insights at scale.

Additionally, you will develop a comprehensive understanding of Google data structures and metrics by advocating for changes to product development and business activity. You'll make business recommendations to stakeholders via presentations using visual displays of quantitative information. You will research and develop analyses/forecasting and optimization methods.

Great just isn't good enough for our People Operations team (known elsewhere as "Human Resources"). We bring the world's most innovative people to Google and provide the programs that help them thrive. Whether recruiting the next Googler, refining our core programs, developing talent, or simply looking for ways to inject some more fun into the lives of our Googlers, we bring a data-driven approach that is reinventing the human resources field. You’ll play an essential role advancing a more diverse, accessible, equitable, and inclusive Google through our hiring, promotion, retention, and inclusion practices.

The US base salary range for this full-time position is $208,000-$296,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/) .

• Partner with stakeholders to improve business processes.

• Manage a team of Business Analysts and implement integrations.

• Provide feedback analysis, operational monitoring, and error resolution.

• Manage company-wide opportunities and data-oriented decision-making.

• Oversee complete delivery of abuse- and harm-fighting projects.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.