Impactful Consumer Ops Benchmarking Intern

McKinsey & Company; Wrocław; On-site; PLN 27,000 - 42,000; Part time

Job summary

McKinsey & Company in Wroclaw is offering a 12-month internship with 25 hours per week to join the COBI team, focusing on benchmarking analytics and reporting for consumer and retail clients.

You'll work with data, build models in Excel, and use Power BI, gaining exposure to manufacturing and supply chain operations while learning from senior knowledge professionals.

This program emphasizes structured learning, mentorship, and potential permanent roles based on performance and open positions.

Qualifications

• 2nd - 4th year student of economics, business, logistics, mathematics, manufacturing or engineering
• Ability to work effectively in a team
• Strong analytical and problem-solving skills
• Proficiency in MS Excel
• Affinity for and first experiences in leveraging AI tools for analytical work
• Experience working with business data analysis is an asset
• Knowledge of programming language is an asset
• Excellent communication skills (verbal and in writing) in English

Responsibilities

• Support benchmarking analytics and client reporting for COBI in consumer and retail sectors.
• Develop data models and automate analyses using Power BI and Excel.
• Collaborate with colleagues across 65+ countries to share insights.
• Learn from experts through mentorship and coaching during the 12-month internship.

Skills

Analytical thinking

Team collaboration

English communication

AI tooling usage

Programming basics

Tools

MS Excel

Job description

McKinsey & Company in Wroclaw is offering a 12-month internship with 25 hours per week to join the COBI team, focusing on benchmarking analytics and reporting for consumer and retail clients.

You'll work with data, build models in Excel, and use Power BI, gaining exposure to manufacturing and supply chain operations while learning from senior knowledge professionals.

This program emphasizes structured learning, mentorship, and potential permanent roles based on performance and open positions.