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SAP Master Data Analyst (SG 23/24) Job

Date: Sep 11, 2022

Location: Columbus, MS, US, 39701

Company: PACCAR

Company Information

PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks.  PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium-, and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates.  PACCAR also designs and manufactures advanced diesel engines, provides financial services and information technology, and distributes truck parts related to its principal business.

Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services — you can develop the career you desire with PACCAR. Get started!




PACCAR Engine Company in Columbus, Mississippi produces the best-in-class, state-of-the-art MX engines that power Kenworth, Peterbilt, and DAF trucks. PACCAR MX engines bring a new level of innovation through quality, exceptional reliability, and proven performance. In more than 50 years, PACCAR has delivered over one million engines globally, providing innovative solutions and an unwavering commitment to superior performance. Join our best-in-class team today through the following opportunity:

Requisition Summary

This role ensures the proper flow and accuracy of inventory within the factory.  This role will interface with Materials Planning, Materials Handling, and Quality to identify new materials, delivery issues, and lean flow delivery of materials.   

Job Functions / Responsibilities

    • Will ensure proper procedures are followed and develop and or adjust procedures as required to increase inventory accuracy and maintain PACCAR standards.
    • Ensure Bill of Materials & Bill of Process/Routing integrity in SAP.
    • Analyze and correct back flushing issues related to control cycles or concessions.
    • Process any back flushing entries related to milestone errors.
    • Create Forecast BOMS for new engine models.
    • Review for new parts loading to SAP from Team Center and coordinate gathering of required master data across functional teams ensuring timely enter of required data elements into SAP.
    • Ensures daily transaction reliability.
    • Liaison with Manufacturing Engineering to ensure Master Data integrity. 
    • Support Warehouse Management team with any Master Data issues.
    • Interfaces with Materials managers on root cause analysis of inventory issues.
    • Coordinate with Quality and materials handling to resolve any part revision level issues that may result in unnecessary diversion of parts for QA review.

Qualifications & Skills

  • Bachelor’s Degree required.
  • Working knowledge and two (2) years minimum experience with SAP IM/WM modules a requirement.
  • Computer literacy with one (1) year experience is required with Microsoft Excel, PowerPoint, Outlook, and Word.
  • Ability to work flexible work schedule - Shift may need to be earlier from time-to-time to communicate with European Union supply base.
  • Candidate must be able to operate independently and with little guidance.
  • Must be a positive contributor to a team environment required
  • Must have excellent verbal and written communication skills and a working knowledge of advanced systems and basic database relationships
  • Candidate must be self-motivated, well organized, flexible and able to handle the pressure of a high-volume operation
  • Ability to stay organized and effective time management are critical to role.
  • Must be good at succinctly defining issues and bringing them quickly to resolution.


PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability.


PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability.

Nearest Major Market: Columbus Mississippi

Job Segment: Data Analyst, SAP, Database, Quality Assurance, ERP, Data, Technology