Supply Chain Data & Analytics Intern
- LocationRemote, United States of America; Marietta, Georgia
- Work typeRemote
- EmploymentPart-time
- Posted11 November 2026
- SourceVanderlande's careers page (Workday)
Last checked15 min ago: still listed on Vanderlande's careers page. First seen 6 h ago.
Moves fastWhen Vanderlande takes a role down early, it is usually about 12 days after posting. Apply soon.
At a glance
- EducationBachelor's degree
- Skills and toolsPython, SQL, Tableau, Power BI
Read from the ad by RoleFinder, with rules and an AI reading; the description is the source.
About the role
Job Title
Supply Chain Data & Analytics Intern
Job Description
Vanderlande 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 standards
2. 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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