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 In this role, the Analyst key responsibilities involve leveraging data science to solve supply chain challenges. This includes data analysis, model development (descriptive, diagnostic, predictive, prescriptive), and scenario planning. Focus on improving modeling efficiency through automation. Finally, under supervision of project leads manage projects to deliver timely and impactful solutions. This role requires to operate in 1.30pm to 10.30 pm shift. KEY ACCOUNTABILITIES Translate supply chain business objectives into analytical scope, assess data feasibility, and define success criteria. Cleanse and explore data to identify trends and root causes, then develop statistical, optimization, or machine learning models under guidance. Conduct scenario planning and sensitivity analysis to present information in a structured and understandable manner. Drive process automation, identify opportunities to automate workflows and eliminate redundant tasks Domain Expertise Plan: Supply and production planning; capacity, demand, and inventory planning; make-versus-buy decisions; service-level optimization and cost trade-offs. Source: Procurement process optimization; cost-saving and efficiency opportunities; financial, geopolitical, and environmental, social, and governance risk assessment; supplier sustainability and carbon-footprint tracking. MakE: Manufacturing performance improvement and waste reduction; failure-mode analysis; anomaly detection; predictive maintenance; root-cause analysis; predictive and prescriptive downtime reduction. Network: Network design and distribution; facility location; greenfield and brownfield analysis; transportation and logistics planning; route optimization; cross-docking; push, pull, and postponement replenishment strategies. End-to-End & Operating Unit: Understanding of the Plan, Make, Source, and Deliver pillars; ability to connect cross-functional priorities; holistic solution mindset; awareness of key supply chain metrics, including service, cost of goods sold, and waste. MINIMUM QUALIFICATIONS Education: Bachelor’s degree from accredited university (Full Time) in Business Analytics, engineering, statistics or a related quantitative field. Experience: 2+ years of related experience in Supply chain analytics Technical Skills: Knowledge of statistical modeling, optimization Proficiency in Excel Macros and PowerPoint, leveraging advanced functions for data analysis, visualization, and effective business storytelling Python, Dash or similar visualization tools, SQL, and cloud platforms such as BigQuery (nice to have) Soft Skills: Self-driven, adaptable, accountable, and comfortable collaborating across functions and locations. PREFERRED QUALIFICATIONS Post graduation in Industrial Engineering, statistics or Supply Chain operations Professional Certifications for supply chain and Data science 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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