Analyst - Supply Chain Analytics & Optimization at McKinsey Company
50670 Köln, Nordrhein-Westfalen, Germany -
Full Time


Start Date

Immediate

Expiry Date

15 Apr, 25

Salary

0.0

Posted On

17 Jan, 25

Experience

1 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Supply Chain Optimization, Linear Programming, Writing, Scheduling, Mathematical Programming, Computer Science, Network Design, Statistics, Data Science, Data Structures, Academic Achievement, Analytical Skills, Optimization, Markov Decision Processes, C++, It

Industry

Logistics/Procurement

Description

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
Responsibilities

Please refer the Job description for details

Loading...