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 recent 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