Sr. Analyst

India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. Position Title Sr Analyst – Advanced Analytics, GIC SC Analytics Function/Group Supply Chain Location Mumbai Shift Timing 1:30 PM to 10:30 PM Role Reports to Assistant Manager – Advanced Analytics, GIC SC Analytics Remote/Hybrid/in-Office Hybrid About General Mills We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. Job Overview Function Overview The GIC Supply Chain team manages end-to-end operations, encompassing planning, sourcing, manufacturing, logistics, and analytics. They strategically plan to meet market demands, optimize sourcing, ensure efficient production, and oversee the seamless movement of goods from production to delivery. The team employs advanced analytics throughout these processes, fostering adaptability and operational excellence. This collaborative approach ensures a well-coordinated supply chain that aligns with both organizational goals and dynamic market conditions. Link Purpose of the role The Supply Chain Analytics team is responsible for developing innovative solutions and advanced capabilities that enhance decision-making across the supply chain. This team collaborates closely with all supply chain functions—including planning, sourcing, manufacturing, distribution, and customer service—as well as business units and cross-functional partners to drive business value through data-driven insights. By leveraging advanced analytics, the team enables step-change improvements in business processes and operational efficiency. In this role, the Senior 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 to improve modeling efficiency through automation and mentor junior analysts. Finally, independently manage moderately complex projects to deliver timely and impactful solutions Key Accountabilities Analytics & Modeling: Understand business objectives – Analyze supply chain challenges, define scope, and set success criteria. Data feasibility assessment – Evaluate completeness, availability, and accuracy of supply chain data. Data processing & cleansing – Handle missing data, outliers, and inconsistencies to ensure data integrity. Exploratory analysis – Conduct exploratory data analysis (EDA) to uncover trends and root causes. Develop & implement data science models – Apply descriptive, diagnostic, predictive and prescriptive analysis through statistical, optimization, or machine learning techniques to solve key supply chain problems. Scenario planning & sensitivity analysis – Perform "What-If" analysis to evaluate business impact under different scenarios. Independent problem-solver – Effectively executes tasks with minimal supervision while ensuring high productivity. Manages moderately complex projects – Handles challenging but structured analytical problems, ensuring timely and impactful solutions. Process Improvement: Enhance modeling efficiency – Drive process automation, identify opportunities to automate workflows and eliminate redundant tasks Mentorship & validation – Guides analysts, reviews their work, and ensures analytical rigor in deliverables. Team Domain specific knowledge Analytical tools Analytics Techniques Plan Supply & Production Planning Basics of capacity, demand and Inventory planning Make vs. buy decision Service level optimization vs. cost trade-offs Must have: Any Optimization tool Nice to have: Supply Chain Guru/ R/Python/Any logic Basics of data analysis, diagnostics and prescriptive analysis Source Procurement process optimization & sustainability Identification of cost-saving opportunities & procurement efficiency improvements Risk assessment (financial, geopolitical, ESG compliance) Supplier sustainability assessments & carbon footprint tracking Must have: Any Optimization tool Nice to have: Supply Chain Guru/ R/Python/Any logic Basics of data analysis, diagnostics and prescriptive analysis Digital Mfg. Manufacturing performance improvement and waste reduction · Failure mode analysis and anomaly detection · Predictive maintenance models Root Cause Analysis (RCA), predict and prescript downtime reduction Must have: Python Nice to have: R/ Any logic Basics of data analysis, diagnostics, prescriptive and predictive (ML& AI) analysis Network Network Design & Distribution Network optimization (facility location, greenfield/brownfield analysis) Transportation & logistics planning (route optimization, cross-docking) Replenishment strategies (push vs. pull, postponement) Must have: Any Optimization tool Nice to have: Supply Chain Guru/ R/Python/Any logic Basics of data analysis, diagnostics and prescriptive analysis E2E & OU End to End supply chain management Basic understanding of all Plan, Make, Source and Deliver pillars Ability to connect the dots across pillars and have holistic solution mindset Aware of key supply chain metrices: Service, COGs, and Waste Must have: Any Optimization tool Nice to have: Supply Chain Guru/ R/Python/Any logic Basics of data analysis, diagnostics and prescriptive analysis Minimum Qualifications -Bachelor’s degree from accredited university (Full Time) in Business Analytics or a related subject area -+3 years of related experience in Supply chain analytics -Strong analytic ability to translate business ask into mathematical model and ability to think “out of the box” & strong analytical skills. -Proficiency in Excel and PowerPoint , leveraging advanced functions for data analysis, visualization, and effective business storytelling Preferred Qualifications -Post graduation in Industrial Engineering, statistics or Supply Chain operations -Professional Certifications for supply chain and Data science -Learning Agility – driven by curiosity and a passion for continuous learning, always seeking to understand the "why" behind concepts JOB OVERVIEW