People Analytics & Organizational Insights Fellow

McKinsey & Company

New York (NY)

On-site

USD 70,000 - 86,000

Full time

11 days ago
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Job summary

McKinsey & Company seeks a candidate for the POP Assets team to develop scalable knowledge assets on organizational topics and advance data‑driven insights using state‑of‑the‑art methods. You will collaborate with consultants to translate data into actionable recommendations and publish knowledge pieces across topics such as culture, design, people analytics, and leadership.

The role offers mentorship, exposure to cross‑functional teams, and opportunities to learn fast while contributing to

Qualifications

  • Strong empirical research skills across study design, data management and analysis.
  • Expertise in people analytics, talent or organizational behavior.
  • Proficiency with R or Python for data analysis and visualization.
  • Experience with advanced statistics and ML methods.
  • Proven leadership and ability to work in cross-functional teams.

Responsibilities

  • Develop scalable knowledge assets and models for organizational topics.
  • Collaborate with senior team members to serve clients with data-driven insights.
  • Contribute to publications and seminal knowledge pieces.
  • Apply survey methods and analytics to answer client questions.

Skills

Research skills
Data analysis (R/Python)
Leadership
Communication
Visualization tools
Cloud data tools
AI/LLMs in research

Education

PhD/ DPhil in IO psychology or related

Tools

R
Python
SQL
PowerBI
Tableau
R Shiny
AWS/Azure/Google Cloud

Job description

McKinsey & Company seeks a candidate for the POP Assets team to develop scalable knowledge assets on organizational topics and advance data‑driven insights using state‑of‑the‑art methods. You will collaborate with consultants to translate data into actionable recommendations and publish knowledge pieces across topics such as culture, design, people analytics, and leadership.

The role offers mentorship, exposure to cross‑functional teams, and opportunities to learn fast while contributing to

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