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Supply Chain Data Analyst

Imbibe

Salary not specified
Sep 2, 2025
Niles, IL, US
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Imbibe is looking to improve the efficiency, reduce costs, and ensure smooth operations within its supply chain by analyzing and interpreting data related to its supply chain operations.

Requirements

  • Strong proficiency in data analysis tools (Excel, SQL, etc.) and data visualization software (e.g., Power BI).
  • Proficient in MS office (Outlook, Excel, PowerPoint, Word, Vizio)
  • Strong analytical skills with the ability to interpret complex data and communicate insights effectively.
  • Solid understanding of supply chain principles, including inventory management and procurement processes.
  • Experience with ERP systems (e.g. Microsoft Dynamics NAV) is highly valuable.
  • Experience with PMS systems (e.g. Workfront) is highly valuable.
  • Experience with AI and machine learning techniques for data analysis, including predictive modeling and automation of data-driven insights is a plus.

Responsibilities

  • Gather, cleanse, and integrate data from various internal and external sources, including ERP systems and co-manufacturer reports.
  • Perform trend analysis to identify potential issues in supply chain operations, such as inventory shortages, excess stock and inefficiencies in ordering patterns.
  • Monitor raw material inventory levels and establish min, max, and safety stock requirements to minimize disruptions and ensure timely delivery of customer orders.
  • Analyze historical trends and customer forecasts to project raw material demand, optimizing inventory levels and minimizing stockouts or excess inventory.
  • Optimize purchasing strategies by analyzing pack sizes, minimum order quantities, and pricing to identify cost-effective purchasing and reduce excess inventory.
  • Assist with investigations into supply chain disruptions, delays, or inefficiencies, and provide data-driven solutions to resolve root causes and prevent recurrence.
  • Conduct detailed analysis to uncover cost savings opportunities through raw material optimization, improved inventory control, waste reduction initiatives and strategic supplier consolidation.

Other

  • Bachelor's degree in supply chain management, business analytics, data science, or a related field.
  • 2+ years of experience in a supply chain role with proven experience in data analytics.
  • Excellent communication and interpersonal skills, with the ability to collaborate across departments.
  • Proven ability to independently manage tight deadlines, stay organized, and prioritize tasks effectively.
  • Ability to work collaboratively and thrive in a fast-paced and dynamic environment.