Note: By applying to this position your application is automatically submitted to the following locations: Mountain View, CA, USA; Seattle, WA, USA; Boulder, CO, USA; New York, NY, USA; Chicago, IL, USA
Bachelor's degree in Statistics, Economics, Psychology, Sociology, a related quantitative field or equivalent practical experience.
Experience working with and manipulating data from businesses (e.g., checking for data issues, cleaning, merging).
Experience using business data to conduct statistical analyses and test hypothesis (e.g., correlation, regression, factor analysis, t-test, ANOVA, HLM, etc.).
Experience using R, SPSS, STATA, and/or other languages to conduct statistical analyses.
Experience using SQL to clean data.
Experience managing complex projects with multiple stakeholders.
Experience working with diversity-related data.
Ability to creatively solve problems in a fast-paced, changing environment.
Demonstrated internal consulting, client management, and project management skills. About the job
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.
We are a group of social scientists, with research backgrounds, who conduct experimental, survey, and archival research to inform people-related business decisions.
In this role, you'll work as a quantitative analyst to help contribute to Google-wide research and analysis efforts supporting people processes.
Great just isn't good enough for our People Operations team (you probably know us better as "Human Resources"). Made up of equal parts HR professionals, former consultants and analysts, we're the advocates of Google's colorful culture. In People Ops, we "find them, grow them, and keep them"- we bring the world's most innovative people to Google and provide the programs that help them thrive. Whether recruiting the next great 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. Responsibilities
Manipulate datasets and conduct statistical analysis (e.g., correlation, regression, factor analysis, t-test, ANOVA, HLM, etc.) using survey and archival data, with analyses conducted in R.
Communicate findings and recommendations to influence leaders to take action on the results.
Build relationships and collaborate with teammates, business leaders, and HR clients to solve organizational problems.
Be productive in an ambiguous, changing work environment (e.g., create structure, apply project management skills, develop and stick to deadlines). At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form .