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Vanderlande

Supply Chain Data & Analytics Intern

Posted 3 Hours Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in United States of America
Internship
In-Office or Remote
Hiring Remotely in United States of America
Internship
Develop data and analytics solutions for the supply chain organization. Responsibilities include collecting, cleaning, and analyzing data; creating digital products and visualizations; collaborating with business units to meet requirements; presenting solutions; and training end users. The intern will also support continuous improvement initiatives and gain exposure to analytics application development and supply chain operations.
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Job TitleSupply Chain Data & Analytics Intern

Job DescriptionVanderlande is seeking a talented, business-minded college student to join our Supply Chain Center for North America.  As an Intern you will be engaged with developing data & analytics solutions for the Supply Chain organization.
 
As an Intern you will be exposed to data analytics application development along with being given a number of specific tasks / projects to elevate your knowledge of Supply Chain, the ways of Vanderlande and to help identify opportunities for continuous improvement.
Basic Qualifications
  • Currently at least a Sophomore or Junior in an undergraduate bachelor’s degree program
  • Available to work up to 20 hours per week and complete entire assignment.
Preferred Qualifications:
  • Majoring in Industrial Engineering, Computer Science, Mathematics, Statistics, or Business Analytics

Requirements:1. Proficient in Python; familiar with SQL and data visualization tools like Tableau or Power BI.2. Solid grasp of statistical analysis and probability.3. Experience in data preprocessing and cleaning.4. Strong analytical, problem-solving, and communication skills.Responsibilities:1. Collaborate with data professionals to develop analytics projects utilizing departmental standards2. Ensure solutions meet customer requirements by partnering with business units.3. Collect and clean data, correcting errors or inconsistencies.4. Develop digital products according to department data management and visualization standards.5. Present solutions to the digital team and business units, and train end users.

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