People Analytics Intern, PhD, Summer 2027

GoogleGoogleMountain View, California, United States | San Francisco, California, United States | Atlanta, Georgia, United States | Chicago, Illinois, United States | New York, New York, United States
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Posted

10/12/2026

Employment

Full time, Internship

Range

$99k - $132k/year

Work style

On-site

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AI summary

Core responsibilities

Collaborate with the People Analytics team to design studies, analyze data, and report research findings to business stakeholders. Communicate actionable recommendations to leadership and produce formal research briefs.

Requirements overview

Candidates must be currently enrolled in a PhD program in Industrial/Organizational Psychology or a related field. Proficiency in statistical programming languages like R, Python, or SQL and experience with experimental or survey research are required.

Key skills

RPythonSQLStatistical analysisSurvey researchExperimental researchData visualizationPsychometricsQuantitative text analysisRegressionFactor analysisANOVADecision scienceBehavior changePerformance managementLongitudinal data analysis

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Education requirements

postgraduate degree

About Google

Industry

Software Development

Employees

330,138

Type

Public Company

Size

10,001+ employees

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh

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Job categories

Data & AnalyticsScience & ResearchHuman ResourcesTechnology

Description

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 about benefits 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.

Requirements

  • •R
  • •Python
  • •SQL
  • •Statistical analysis
  • •Survey research
  • •Experimental research
  • •Data visualization
  • •Psychometrics
  • •Quantitative text analysis
  • •Regression
  • •Factor analysis
  • •ANOVA
  • •Decision science
  • •Behavior change
  • •Performance management
  • •Longitudinal data analysis

Benefits

  • •Health insurance
  • •Stock options
  • •401k

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