Vacancy catalog
Google
Open role>14 days

People Analytics Intern, PhD, Summer 2027

GoogleMountain View, California, United States; Atlanta, Georgia, United States; Chicago, Illinois, United States
Work model
Office
Experience
0-2 years
Employment
Full Time
Compensation
99,000 – 132,000 USD
Technology signal
2 tags

Technology context

2

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Published salary bands

Each level keeps its own disclosed range. Amounts are not merged across levels or locations.

  • Band 1

    99,000–132,000 USD / year

    Period inferred from amount; verify against the original listing.

Full listing

Role description

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 .

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.

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).