People Analytics & Data Science Fellow – Global Insights

McKinsey & Company

Chicago (IL)

On-site

USD 66,000 - 90,000

Full time

11 days ago
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Benefits offered by this job

Competitive salary
Comprehensive benefits
Mentorship and growth opportunities

Job summary

McKinsey & Company in the United States is offering a paid one-year opportunity in the POP Assets team for a PhD/ABD candidate in I-O psychology, organizational behavior, data science, or a related field. You will develop scalable assets, support client engagements, and receive mentorship to accelerate leadership growth.

Travel within the US may be required; work schedule is around 40 hours per week, with flexibility. This role emphasizes research methods, data analysis, and publishing knowledge.

Qualifications

  • Strong research experience across design, measurement, data handling, and interpretation.
  • Expertise in people analytics, survey design, or organizational topics.
  • Proficiency with data visualization and statistical methods.

Responsibilities

  • Develop scalable assets, assessments, and tools from foundational research.
  • Partner with senior colleagues to support client engagements and insights.
  • Publish knowledge pieces and test research questions with advanced analytics.

Skills

Research design
Data analysis
Statistical analysis
Machine learning
Visualization
Communication
Leadership
Project management
Problem solving
Python
R
SQL
AWS / cloud basics

Education

PhD or ABD in I-O psychology / organizational behavior / data science

Tools

Python
R
SQL
PowerBI
Tableau
R Shiny

Job description

McKinsey & Company in the United States is offering a paid one-year opportunity in the POP Assets team for a PhD/ABD candidate in I-O psychology, organizational behavior, data science, or a related field. You will develop scalable assets, support client engagements, and receive mentorship to accelerate leadership growth.

Travel within the US may be required; work schedule is around 40 hours per week, with flexibility. This role emphasizes research methods, data analysis, and publishing knowledge.

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