Analyst - Supply Chain Analytics & Optimization

at  McKinsey Company

Are you driven by the opportunity to tackle complex challenges and work alongside top leaders? Do you want to be part of a team that delivers outcomes that others simply can’t? If so, you’ve come to the right place.

YOUR QUALIFICATIONS AND SKILLS

• Master’s degree in an analytics/data centric area such as supply chain management, mathematics, statistics, computer science, data science, or industrial engineering
• 1+ years of operations research, analytics and/or data science work in industry with a focus on supply chain topics (internships may count as work experience)
• Knowledge on analytical concepts relevant for supply chain optimization, such as statistics, time-series analyses, and classical operations research methods, in particular mathematical programming (esp. mixed-integer linear programming) and corresponding IT tools (e.g., Gurobi, CPLEX, AIMMs), and methods from applied statistics (esp. time series forecasting) and stochastic modelling and optimization (e.g., Markov Decision Processes)
• Understanding of IT (e.g. databases and data structures) and demonstrated knowledge of at least one standard programming language (e.g. Python, C++, Java)
• Ideally a good understanding of supply chain concepts such as supply chain strategy, production management, scheduling, network design, inventory, and logistics
• Demonstrated: strong conceptual and analytical skills; success in working on high impact cross-functional teams; strong decision making and problem-solving skills
• Outstanding record of academic achievement
• Demonstrated aptitude for analytics and data science, plus appropriate educational and on-the-job training
• Demonstrated leadership skills in professional or extracurricular settings, with a proactive and entrepreneurial mindset
• Ability to work effectively with people at all levels in an organization
• Ability to communicate complex ideas effectively – both verbally and in writing – in English
• Willingness and excitement to travel up to 60 percent and some internationally

Please refer the Job description for details