Job description

WHAT YOU'LL DO

You will play an active role in manufacturing shop floor transformations for Indian clients involving the application of digital tools and analytics, as well as solving manufacturing/production related issues in a variety of industry verticals.

You will spend a significant part (>70-80%) of your time working with the MSC practice and consulting teams in McKinsey to help our clients solve complex problems in the manufacturing domain. Common topics addressed by our teams include: yield and throughput enhancements; unlocking workforce productivity; unlocking capacity in manufacturing plants; reducing cost and defects from poor quality production; ensuring reliable, flexible and safe production; as well as maximizing asset returns in production.

You will gather data from clients, analyze the data, and conduct diagnostics on the overall manufacturing health and performance by leveraging our digital and advanced analytical capabilities. Your toolkit will include building and deploying digital manufacturing applications on partner IoT platforms, sensor-driven diagnostics, smart OEE, ITOT foundations, etc.

Through your work, you will have opportunities to present results to client leadership teams and implement recommendations in collaboration with client team members. You will relay what you have learned to our internal team and factor in these learnings to further develop, improve and maintain McKinsey’s proprietary MSC-X tools and other knowledge development projects.

There is flexibility to hire at knowledge analyst or senior knowledge analyst levels depending on your overall experience.

QUALIFICATIONS

• Bachelor's or master's degree in industrial or mechanical engineering, physics, chemistry, manufacturing or operations management (supplemented by technical training), with a strong quantitative underpinning and an outstanding academic record
• 1+ years of relevant experience in a manufacturing/analytics firm solving manufacturing/production/shop floor related planning and operational problems
• Coding skills in Excel VBA/Excel Macros/R/Python/other open-source language is a must
• Exposure to manufacturing and production planning modules of MES or ERP solutions like SAP, Oracle, etc. is good to have
• Experience in energy consumption, yield improvements, quality improvements, asset and labor productivity is desirable
• Exposure to industries like CPG, automotive, electronics, life sciences, metals and mining etc. is a plus
• Excellent problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions
• Ability to work under pressure and deliver to tight deadlines
• Ability to work effectively with people at all levels in an organization and to collaborate within a team
• Skills to communicate complex ideas effectively