: 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.

Job Description :

- Position Title
- 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 significant as the food we make. Our values are baked into our legacy and continue to accelerate

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.

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 Analyst the 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. Finally, under supervision of project leads manage simpler 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.
- Scenario planning & sensitivity analysis - Perform "What-If" analysis to evaluate business impact under different scenarios.
- Assist in Project Execution - Support project tasks as an individual contributor under close supervision, ensuring timely completion of assigned work.
- Follow established procedures - Adhere to predefined guidelines and standard operating procedures while executing routine tasks with mínimal complexity.
- Communicate findings clearly - Present factual information related to the specific area of work in a structured and understandable manner.

Process Improvement:

- Enhance modeling efficiency - Drive process automation, identify opportunities to automate workflows and eliminate redundant tasks

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)

📌 Analyst - Advanced Analytics, Gic Sc Analytics (Powai)
🏢 General Mills
📍 Powai