Entry-Level Supply Chain Data Analyst - Des Plaines

Corporate Resources; Des Plaines (IL); On-site; USD 46,000 - 52,000; Full time

Benefits offered by this job

Full benefits

Career progression

Job summary

Corporate Resources in Des Plaines, IL seeks an Entry-Level Supply Chain Data Assistant to collect, organize, and maintain logistics data, supporting recurring reports and operational metrics.

You will collaborate with Operations, Customer Service, Transportation and other teams to resolve data questions, build analytical skills, and grow into greater responsibilities within the supply chain and data analytics space.

Qualifications

• Bachelor’s degree required.
• Intermediate Excel knowledge needed (pivot tables, VLOOKUP).
• Internship or relevant experience preferred, not required.
• Detail oriented and highly organized.
• Ability to prioritize tasks and learn quickly.

Responsibilities

• Collect, organize, and maintain supply chain data from internal systems and reports.
• Assist with recurring reports related to shipments, inventory, orders, and delivery performance.
• Review data for accuracy and investigate basic discrepancies or missing information.
• Use Excel to organize data, identify trends, and help prepare reports for the operations team.
• Track shipments, orders, inventory, and other supply chain activity to maintain visibility.
• Work with Operations, Customer Service, Transportation, and other departments to gather information and resolve data questions.
• Support special projects and other analytical assignments as you become more familiar with the business.

Skills

Attention to detail

Organizational skills

Ability to prioritize tasks

Eager to learn

Education

Bachelor’s Degree

Tools

Microsoft Excel

Pivot Tables

VLOOKUP

Job description

Corporate Resources in Des Plaines, IL seeks an Entry-Level Supply Chain Data Assistant to collect, organize, and maintain logistics data, supporting recurring reports and operational metrics.

You will collaborate with Operations, Customer Service, Transportation and other teams to resolve data questions, build analytical skills, and grow into greater responsibilities within the supply chain and data analytics space.