What are the responsibilities and job description for the Supply Chain Data & Analytics Intern position at Vanderlande?
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
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 Junior in an undergraduate bachelor’s degree program, or a graduate student in a master’s degree program
- Available to work 40 hours per week and complete entire assignment.
- Majoring in Industrial Engineering, Computer Science, Mathematics, Statistics, or Business Analytics
- Proficient in Python; familiar with SQL and data visualization tools like Tableau or Power BI.
- Solid grasp of statistical analysis and probability.
- Experience in data preprocessing and cleaning.
- Strong analytical, problem-solving, and communication skills.
- Collaborate with data professionals to develop analytics projects utilizing departmental standards
- Ensure solutions meet customer requirements by partnering with business units.
- Collect and clean data, correcting errors or inconsistencies.
- Develop digital products according to department data management and visualization standards.
- Present solutions to the digital team and business units, and train end users.