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 valuable, 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 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 modelling efficiency through automation and mentor junior analysts. Finally, independently manage moderately complex projects to deliver timely and impactful solutions. This role requires you to operate in 1.30 pm 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.
Conduct scenario planning and sensitivity analysis while independently managing moderately complex analytical projects to deliver impactful solutions.
Improve modelling efficiency through automation, eliminate redundant workflows, and mentor analysts by validating analytical deliverables.

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.
Manufacturing and Engineering (MaKE): Manufacturi

📌 Senior Analyst (Mumbai)
🏢 General Mills
📍 Mumbai