COMPANY OVERVIEW We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next. OVERVIEW You will use advanced analytics to help supply chain teams make better decisions across manufacturing and distribution network design, sourcing, inventory, and capacity. You will build and analyze optimization, simulation, and other analytical models, translate complex results into practical recommendations, and work with global and India supply chain partners to deliver business value. This is an opportunity to contribute to strategic projects, capability development, and continuous improvement within the supply chain analytics team. This role requires you to operate in 1.30 pm to 10.30 pm shift. KEY ACCOUNTABILITIES Translate business questions into analytical problem statements, solution approaches, and measurable success criteria. Gather, validate, clean, and analyze data; identify data issues and root causes before modeling. Build, refresh, and improve optimization, simulation, predictive, or statistical models to evaluate supply chain opportunities. Run what-if scenarios and compare sourcing, production, distribution, inventory, and capacity alternatives. Interpret model outputs and communicate clear, quantitative recommendations to business leaders and cross-functional stakeholders. Support solution implementation, transition, documentation, training, and ongoing governance. Contribute to new capability development, process improvements, testing, knowledge sharing, and team learning. Working knowledge of end-to-end supply chain processes, with the ability to translate business problems into analytical solutions using at least one of the following optimization, statistics, predictive analytics, or simulation. Strong analytical, problem-solving, communication, presentation, and stakeholder-management skills. MINIMUM QUALIFICATIONS Education: Bachelor’s degree in engineering, statistics, mathematics, or a related quantitative field. Experience: 1+years or more years of experience in supply chain analytics, operations research, data analytics, or a related area. Technical Skills: Experience building analytical models or solutions using tools such as Python, R, SQL, Excel-based macros, or comparable software. Soft Skills: Self-driven, adaptable, accountable, and comfortable collaborating across functions and locations. PREFERRED QUALIFICATIONS Master’s degree in supply chain, operations research, industrial engineering, statistics, mathematics, computer science, or a related field. Professional certification such as APICS, Certified Supply Chain Professional, Certified in Planning and Inventory Management, Six Sigma, or a comparable credential. ELIGIBILITY Applicants must meet minimum age qualifications in the country in which the job is located. New possibilities. Bold thinking. Real heart. Build remarkable brands with remarkable people. At General Mills, we make food the world loves. Across 100+ markets, we come together to create, innovate and grow. Here, you’ll do meaningful work and help to lead the future of food at a company that stands for good. Watch with captions in other languages here. Our careers Our company Set up job alerts to receive instant email notifications for new openings matching your interests. Sign in or create an account Join our talent community to hear about company news and career opportunities. Sign up Protect yourself against recruitment fraud. Unauthorized individuals may pose as General Mills recruiters, make contact about job opportunities, post fake job openings, or even extend job offers. When in doubt, please ignore these messages. When reviewing a General Mills job posting on a non-General Mills site, such as LinkedIn, it is important to always verify that the job is also listed on the General Mills Career site. Only jobs listed on our Career site are legitimate.

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