Supply Chain Management Co-Op

Bayer•Hanover Township, NJ

8d•$23 - $48•Onsite

About The Position

At Bayer, we are visionaries driven to solve the world's toughest challenges, striving for a world where 'Health for all Hunger for none' is a reality. We are looking for a Supply Chain Management Co-Op to contribute to our mission. This role involves problem-solving within supply chain operations, supporting the development of understanding complex supply chain processes, and facilitating the resolution of problems to meet customer needs. The co-op will also support the deployment of digital tools to digitize supply chain operations and analyze key data sets for end-to-end supply chain optimization. Collaboration with internal and external customers is key to achieving project objectives.

Requirements

Currently either pursuing a Bachelors or Masters degree in Supply Chain Management, Data Science or other technical discipline
Must have completed at least 1 year of a Bachelors degree program
Experience with data analysis utilizing tools including PowerBI, Tableau, AWS Snowflake/ODBC
Ability to work accurately and efficiently on multiple projects under tight timelines
Interest in SCM processes such as inventory management change management, display/special-pack operations, Inventory management, and change management
Strong computer skills - Microsoft Office/ Excel Pivot Tables
Good communication skills due to the cross-functional collaboration required with customers including project teams as well as initiatives involving Bayer Healthcare US and Bayer Healthcare global organizations

Nice To Haves

2 years of database related coursework, e.g., working knowledge of pivot tables, macros or experience in programming languages
Experience with Robotic Process Automation (RPA)

Responsibilities

Serves as a contributor to cross-functional teams for problem solving issues within the supply chain operations
Reviews multiple data inputs and understands clear levers to pull to improve processes
Supports the development of a deeper understanding behind the complexity of supply chain processes such as forecasting for item specific SKUs
Facilitate the resolution of problems during the development process to meet customers' needs
Supports deployment of digital tools in order to digitize supply chain operations such as Robotic Process Automation
Effectively extracts and analyzes key data sets in order to extract insight for end-to-end supply chain optimization
Partners with internal and external customers to efficiently deliver against project objectives