Supply Chain & Data Analytics InternKitchenCrest Cabinets, LLC • Melrose Park, Illinois, United States
Supply Chain & Data Analytics Intern
KitchenCrest Cabinets, LLC
- Melrose Park, Illinois, United States
- Melrose Park, Illinois, United States
Über
Position Overview: KCC is seeking a highly motivated Supply Chain & Data Analytics Intern to support warehouse operations, procurement strategy, and data-driven supply chain initiatives. This role blends hands‑on operational work with analytical and strategic projects, making it ideal for students interested in sociology, statistics, and real-world applications of data in business operations.
Warehouse Operations & Inventory Management
Conduct physical inventory counts and cycle counts across warehouse locations
Audit inventory accuracy and identify discrepancies
Support improvements in inventory tracking and warehouse processes
Collaborate with warehouse teams to understand operational workflows
Supply Chain & Logistics Support
Assist with tracking inbound shipments, purchase orders, and transfers between warehouses
Analyze logistics data (lead times, fulfillment rates, stockouts)
Support coordination between procurement, warehouse, and sales teams
Help identify inefficiencies and propose process improvements
Procurement & Data Analytics Projects
Support development of a structured procurement network across SKUs and locations
Assist in building inventory forecasting models and demand planning frameworks
Help design and test ordering cadences based on historical sales and variability
Work with datasets to analyze trends, seasonality, and purchasing patterns
Contribute to early-stage machine learning and predictive modeling initiatives for demand forecasting
What You’ll Gain:
Hands‑on experience in warehouse operations and supply chain logistics
Exposure to real-world applications of statistics and data analysis
Experience working with inventory, procurement, and forecasting models
Opportunity to contribute to high‑impact projects in a growing company
Mentorship and direct collaboration with leadership
Qualifications:
Currently pursuing a degree in Sociology, Statistics, Data Science, Economics, or a related field
Strong analytical and problem‑solving skills
Interest in operations, supply chain, or logistics
Comfortable working with data (Excel required; Python/R is a plus but not required)
Detail‑oriented and willing to work both in‑office and in a warehouse environment
Strong communication and organizational skills
Preferred (Not Required):
Experience with Excel (pivot tables, basic analysis)
Exposure to data analysis tools (Python, R, SQL)
Interest in machine learning or forecasting
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Sprachkenntnisse
- English
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