Intern - Consumer Operations Benchmarking Analytics

You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact. In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. Exceptional benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. You will support the Consumer Operations Benchmarking Initiative (COBI) team in performing benchmarking analytics (such as data normalization, quality/consistency checks, benchmark creation, etc.) and reporting to our clients from the consumer and retail sectors to improve their operational excellence. COBI is a growing global service line in Retail Consumer & Packaged Goods practice. Building on McKinsey’s long-standing expertise in operations and performed benchmarking and diagnostics, COBI helps to improve clients’ operational performance. The team collects and analyzes client data, focusing on manufacturing and supply chain performance. They collaborate closely with clients and consulting teams to ensure accurate comparisons. COBI provides benchmarking analytics and compares client performance against industry peers, presenting results to senior operations managers. The team continuously refines benchmarking solutions and innovates new offerings using various analytical methods and tools. You will help to further develop and maintain our tools and assets (e.g., with process automation). Your work will include leveraging various tools from the proprietary AI-powered problem-solving and analytics engine to tools like Power BI, Excel, as significant share of work is focused on data analysis and modeling of datasets provided by our clients in Excel. You will have the opportunity to observe client engagements and work alongside senior knowledge professionals and experts on larger client projects or internal knowledge-building initiatives. Ultimately, you will learn from experts in both manufacturing and supply chain operations; our team puts a strong focus on the development of both hard skills (e.g., Excel) and soft skills (e.g., effective communication, translating data into insights). This internship program will enhance your professional and personal development through mentoring and coaching sessions with tenured colleagues. This will last up to 12 months with a minimum of 25 work hours per week. You will have the opportunity for a permanent role depending on the success of your internship and open roles at the time.

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