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Analytics Intern, PhD, Summer

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Google LLC
Full Time, Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-10-16
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist, Research Analyst
Salary/Wage Range or Industry Benchmark: 99000 - 132000 USD Yearly USD 99000.00 132000.00 YEAR
Job Description & How to Apply Below
People Analytics Intern, PhD, Summer 2027

Share People Analytics Intern, PhD, Summer 2027

Google place Mountain View, CA, USA ;
Atlanta, GA, USA ; +3 more  Intern & Apprentice

Applicants in San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA;
Atlanta, GA, USA;
Chicago, IL, USA;
New York, NY, USA;
San Francisco, CA, USA

.

  • Currently enrolled in a PhD program in Industrial/Organizational Psychology, Organizational Behavior, Personality Psychology, Social Psychology or a related field.
  • Experience designing, developing, and conducting survey or experimental research.
  • Experience analyzing and manipulating data in R, Python, SQL, or other statistical programming languages.
Preferred qualifications:
  • Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time.
  • Experience conducting applied research in organizations.
  • Topical experience in one of the following areas: performance management, individual and team-level performance and productivity, individual differences (e.g., personality traits, behaviors, well-being), selection and assessment (including relevant psychometric methods), decision science and behavior change, or quantitative text analysis.
  • Experience using R for statistical analysis and data visualization.
  • Experience in SQL or other scripting languages and experience with future-proofing code to be long-lasting (e.g., detailed documentation).
  • Experience with statistical analyses, including fundamentals (e.g., ANOVAs or regressions) and with one or more advanced approaches (e.g., factor analysis, network analysis, HLM, SEM).
About the job

We are a group of social scientists who conduct experimental, survey, and archival research to inform people-related business decisions. Example content areas include, but are not limited to: decision making, leadership, employee well-being, hiring, performance management, performance development, personality, longitudinal data analyses, and social networks. We have strong research backgrounds, with PhDs in I/O Psychology, Organizational Behavior (micro & macro), Sociology, Social Psychology, Anthropology, Behavioral Economics, and related fields.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

We are a group of social scientists who conduct experimental, survey, and archival research to inform people-related business decisions. Example content areas include, but are not limited to: decision making, leadership, employee well-being, hiring, performance management, performance development, personality, longitudinal data analyses, and social networks. We have strong research backgrounds, with PhDs in I/O Psychology, Organizational Behavior (micro & macro), Sociology, Social Psychology, Anthropology, Behavioral Economics, and related fields.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $99000 - $132000 (USD) + 0% bonus target Learn more about benefits at Google .

  • Work with the People Analytics team to design and implement new studies, analyze data and report on results of research initiatives to a business audience.
  • Communicate findings and recommendations to influence leaders to take action on the results.
  • Write research briefs.
  • Conduct statistical analysis (e.g., correlation, regression, factor analysis, T-test, ANOVA) using survey and archival data with analyses conducted in R.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google ,…

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