Verified Job
IT / Software / Data Analyst
Software Delivery Analyst (Data Science) - Supply Chain
IT / Software / Data Analyst
#28128
Remote / WFH
Mckinsey & Company
Job Description
YOUR IMPACT
Your specific project activities include performing diagnostics and customizing and implementing our analytical tools across the clients organization.
Youll work in teams playing an active role in the client engagement. You will use a tech-enabled approach to tackle client challenges related to end-to-end supply chain planning from demand forecasting and inventory management to S&OP, production planning and scheduling, and order management.
The increasing complexity of integrated tactical and operational systems, combined with an explosion of data, makes these topics both top-of-mind and deeply challenging for many clients. Capitalizing upon your analytics and data science background, you will fortify and enhance Manufacturing and Supply Chain's (MSCs) digital tools to customize the output to precise client situations. Most importantly, you will develop insights and implement solutions which produce tangible and lasting impact on our clients operational performance.
Your clients projects will range from quick diagnostics up to multi-month digital implementations. In between studies, you will bring your learnings back to our internal team to help refine digital modules and ideate powerful new capabilities.
Through your work, youll have opportunities to present results to client management and implement recommendations in collaboration with client team members. You’ll gain new skills and build on the strengths you bring to the firm.
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)
• Outstanding record of academic achievement
• Knowledge of 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)
• 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
• Demonstrated aptitude for analytics and data science, plus appropriate educational and on-the-job training
• Proven record of leadership in a work setting and/or through extracurricular activities, and an entrepreneurial bent
• Ability to work effectively with people at all levels in an organization
• Willingness and ability to travel up to 60%, occasionally internationally
• Language fluency skills to communicate complex ideas effectively – both verbally and in writing – in English
Your specific project activities include performing diagnostics and customizing and implementing our analytical tools across the clients organization.
Youll work in teams playing an active role in the client engagement. You will use a tech-enabled approach to tackle client challenges related to end-to-end supply chain planning from demand forecasting and inventory management to S&OP, production planning and scheduling, and order management.
The increasing complexity of integrated tactical and operational systems, combined with an explosion of data, makes these topics both top-of-mind and deeply challenging for many clients. Capitalizing upon your analytics and data science background, you will fortify and enhance Manufacturing and Supply Chain's (MSCs) digital tools to customize the output to precise client situations. Most importantly, you will develop insights and implement solutions which produce tangible and lasting impact on our clients operational performance.
Your clients projects will range from quick diagnostics up to multi-month digital implementations. In between studies, you will bring your learnings back to our internal team to help refine digital modules and ideate powerful new capabilities.
Through your work, youll have opportunities to present results to client management and implement recommendations in collaboration with client team members. You’ll gain new skills and build on the strengths you bring to the firm.
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)
• Outstanding record of academic achievement
• Knowledge of 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)
• 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
• Demonstrated aptitude for analytics and data science, plus appropriate educational and on-the-job training
• Proven record of leadership in a work setting and/or through extracurricular activities, and an entrepreneurial bent
• Ability to work effectively with people at all levels in an organization
• Willingness and ability to travel up to 60%, occasionally internationally
• Language fluency skills to communicate complex ideas effectively – both verbally and in writing – in English
