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People Intelligence Intern

New

Skills

Behavioral Analysis Data Cleaning Data Structuring HRIS or ATS Systems Hypothesis Testing Organizational Behavior Predictive Modeling Python R Statistical Analysis

The People Intelligence Intern will leverage statistical analysis and predictive modeling to generate insights on key talent themes such as work-life integration, retention, organizational health, and collaboration. This role supports the development and refinement of data-driven models that identify emerging people trends and inform proactive talent decisions.

Key Responsibilities
  • Analyze behavioral, engagement, and workforce data to surface patterns and opportunities that improve team effectiveness and overall organizational performance.
  • Examine employee communication metadata, sentiment signals, and survey data to surface early-warning indicators.
  • Translate business questions into testable hypotheses and apply rigorous research methods to validate findings.
  • Partner with People Team stakeholders to present clear, defensible, and actionable insights.
  • Maintain high standards of documentation, methodological rigor, and data integrity when handling sensitive information.
Required Skills & Qualifications
  • Strong foundation in statistical modeling and research methods, including experimental design and hypothesis testing.
  • Proficiency in Python, R, or similar statistical analysis tools.
  • Ability to clean, structure, and analyze complex datasets, including survey and behavioral data.
  • Demonstrated capability to translate analytical findings into clear business insights.
  • Academic background in Organizational Behavior, Organizational Psychology, Talent Management, Business Intelligence, or related fields.
  • Prior internship or research experience in analytics, consulting, behavioral science, or HR functions.
  • Interest in predictive modeling, Organizational Network Analysis (ONA), and behavioral signal detection.
  • High discretion and integrity when handling sensitive employee data.
  • Familiarity with HRIS or ATS systems.
  • Exposure to People Analytics methodologies and frameworks.

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Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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