COMPANY OVERVIEWWe 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.​ OVERVIEWAs a Senior Analyst in Supply Chain Analytics, you will turn complex supply chain questions into practical, data-driven solutions that improve business decisions and operational efficiency. To leverage advanced analytics and supply chain expertise to drive significant improvements in plant productivity and optimize manufacturing costs across General Mills' global food manufacturing network (50+ plants). This role will involve collaborating with cross-functional teams, developing and implementing data-driven solutions, and providing actionable insights to improve manufacturing processes and reliability. This role requires you to operate in 1.30 pm to 10.30 pm shift.KEY ACCOUNTABILITIESTranslate business objectives into analytical problems, project scopes, success criteria, and feasible data requirements for manufacturing and supply chain initiatives.Extract, cleanse, and analyze manufacturing data using SQL, Python, and BigQuery to identify trends, drivers, and root causes.Develop and apply statistical, optimization, predictive, prescriptive, and machine learning models to improve performance, reliability, maintenance, and waste.Build and maintain dashboards, recommendation reports, and self-service analytics solutions using Python, Dash, GitHub, and DevOps practices, with strong data quality, automation, version control, and production deployment.Independently deliver moderately complex projects, partner with plant and business stakeholders, communicate results, demonstrate business impact, follow Agile practices, and mentor analysts while ensuring analytical rigor.MINIMUM QUALIFICATIONSEducation: Bachelor's degree in a relevant field (e.g., Engineering, Statistics, Mathematics, Operations Research, Computer Science).Experience: 2-5 years of experience in a data analytics or engineering role, preferably within a manufacturing or supply chain environmentTechnical Skills: Proficiency in SQL and Python programming. Strong analytical and problem-solving skills. Excellent communication and collaboration skillsSoft Skills: Strong analytical, problem-solving, communication, collaboration, and independent-working skills, with the ability to connect insights to business decisions.PREFERRED QUALIFICATIONSMaster’s degree in engineering, Statistics, Mathematics, Operations Research, or a related field.4+ years of analytics or engineering experience in manufacturing or supply chain.Proficiency in Python, Dash or similar visualization tools, SQL, and cloud platforms such as BigQuery.Knowledge of statistical modeling, optimization, machine learning, and reliability methods including FMEA and RCM.Experience with MES, ERP, MMS, and Agile-Scrum environments. ELIGIBILITYApplicants must meet minimum age qualifications in the country in which the job is located.