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People Analytics Intern, PhD, Summer 2027

Mountain View, CA

Pay
USD 99,000–132,000/yearAnnual period assumed — pay source
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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
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Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Alphabet Inc. (Class A)
Education & alternatives
People Analytics Intern, PhD, Summer 2027 Share People Analytics Intern, PhD, Summer 2027
People Analytics Intern, PhD, Summer 2027 Share People Analytics Intern, PhD, Summer 2027 _corporate_fare_ Google _place_ Mountain View, CA, USA; Atlanta, GA, USA; +4 more; +3 more _bar_chart_ Intern & Apprentice
_corporate_fare_ Google _place_ Mountain View, CA, USA; Atlanta, GA, USA; +4 more; +3 more _bar_chart_ Intern & Apprentice Share People Analytics Intern, PhD, Summer 2027 _info_outline_
**Minimum qualifications:** + 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.

Tools in this posting

  • Python
  • R
  • SQL
Source — Tool mentions in context
+ 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:**
+ 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).
+ 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. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
+ 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).

Job description

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People Analytics Intern, PhD, Summer 2027 Share People Analytics Intern, PhD, Summer 2027 _corporate_fare_ Google _place_ Mountain View, CA, USA; Atlanta, GA, USA; +4 more; +3 more _bar_chart_ Intern & Apprentice Share People Analytics Intern, PhD, Summer 2027 _info_outline_ X **Please complete your application before February 26, 2027.** Applications will be reviewed on a rolling basis and it’s in a candidate’s best interest to apply early. Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven’t heard from us in three months about your application, we likely proceeded with other candidates for the role. Participation in the internship program requires that you are located in the United States for the duration of the internship program. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program. To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred): + Updated resume - please include the relevant graduation dates (MM/YY), coding language(s) along with any technical experience or projects. Elaborate on current research topics, statistical skills, experience analyzing survey data, relevant work experience, and recent publications/presentations. + **Please include when you completed your comprehensive/qualifying exams or the anticipated completion date (MM/YY).** + Transcript - unofficial or official; must be in English. If selected to move forward, you will be asked to provide 1-2 presentation slides explaining some of your research/findings and why the findings might be useful to Google. Please prepare these slides for a business (i.e., non-academic) audience. Include visual representations of your results. 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** . **Minimum qualifications:** + 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. US: $99000 - $132000 (USD) + 0% bonus target Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) . **Responsibilities** + 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. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . 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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. 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/OFCCP_EEO_Post.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.

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Pay
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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Location & working pattern

Mountain View, CA

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Active
First seen by us
Oct 13, 2026
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2
Last seen by us
Oct 14, 2026

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