Software Delivery Analyst - Manufacturing and Supply Chain
McKinsey & Company · Chennai, India +1 · 2d ago
Mid levelOn-siteSoftware Engineering
Who you'll work with
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
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 for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class 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.
What you'll do
Your specific project activities include performing diagnostics and customizing and implementing our analytical tools across the clients’ organization.
You’ll 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 (MSC’s) 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 client’s 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, you’ll 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 background
- 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