Supply Chain Management Intern

Bayer•Whippany, NJ

8d•Onsite

About The Position

At Bayer, we are visionaries driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is a reality. We are looking for a Supply Chain Management Intern to contribute to cross-functional teams for problem-solving within supply chain operations. This role involves reviewing data inputs, understanding levers to improve processes, and supporting the development of a deeper understanding of complex supply chain processes like forecasting. The intern will facilitate problem resolution, support the deployment of digital tools for supply chain digitization, and analyze key data sets for end-to-end supply chain optimization. The role also involves partnering with internal and external customers to deliver project objectives.

Requirements

Currently 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.
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.
Facilitates 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.