Practicante de Planeación

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Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.

How do we do this? With our people. They break through limitations and expectations not once in a career, but every day. They help move our company, and the world, forward.

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.

Come break through with us.

Role Purpose

The Sales, Inventory and Operations Planning Intern will support the Product Line Planner in the development, maintenance, and execution of the SIOP (Sales, Inventory & Operations Planning) process. This role is mainly focused on creating and continuously improving Excel-based SIOP templates used to consolidate demand, supply, inventory, and capacity information. The intern will contribute to improving visibility, accuracy, and standardization of planning data while gaining hands-on experience in supply chain planning, data analysis, and cross-functional coordination.

Activities

• Support demand and forecast analysis.
• Assist with allocation processes and inventory tracking.
• Follow up with manufacturing plants on planning-related activities.
• Prepare planning data and support coordination with operations teams.
• Help develop, maintain, and improve Excel-based SIOP templates.
• Consolidate demand, supply, inventory, and capacity information for planning purposes.
• Support standardization and continuous improvement of planning tools and reports.

Required Education

• Currently pursuing a Bachelor’s degree in Supply Chain, Industrial Engineering, Business Administration, or a related field.

Desired Skills

• Interest in supply chain, forecasting, and planning processes.
• Strong analytical skills.
• Proficiency in Excel and ability to work with data analysis tools.
• Ability to learn quickly and adapt to new processes.
• Good communication skills.
• Team-oriented mindset and ability to collaborate with cross-functional teams.
• Attention to detail and ability to manage planning data accurately.