Junior SAP Data Analyst: Master Data in Manufacturing

Siemens España

Fort Worth (TX)

On-site

USD 50,000 - 106,000

Full time

3 days ago
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Job summary

Siemens Fort Worth facility is hiring a Jr. SAP Data Analyst to work on-site validating virtual actions in SAP, supporting the physical manufacturing process and collaborating with on-site colleagues.

This role requires a Bachelor’s degree and hands-on SAP module experience, including MM, PP, WM, with USD salary expectations and benefits. You will maintain material master data, own MM/PP modules, and liaise with SD and FI areas while contributing to a modern, AI-augmented factory environment in

Qualifications

  • Bachelor’s degree in Industrial Engineering, Industrial Distribution, Computer Science, or Systems Engineering.
  • Internship or 2 years of experience using SAP WM, MM, PP modules.
  • Legally authorized to work in the United States without sponsorship.

Responsibilities

  • Maintain and update plant-level material master data in collaboration with production, planning, and other plants.
  • Own and manage SAP Material Master Data (MM) and Production Planning (PP) modules; familiarity with SD and FI modules.
  • Analyze and resolve master data deficiencies with operational impact and communicate changes to process owners.
  • Understand networking and peripheral configurations; assist with basic computer hardware.
  • Help validate virtual actions in SAP and support the manufacturing process on site.

Skills

Legal work authorization

Education

Bachelor’s degree

Tools

SAP WM
SAP MM
SAP PP

Job description

Siemens Fort Worth facility is hiring a Jr. SAP Data Analyst to work on-site validating virtual actions in SAP, supporting the physical manufacturing process and collaborating with on-site colleagues.

This role requires a Bachelor’s degree and hands-on SAP module experience, including MM, PP, WM, with USD salary expectations and benefits. You will maintain material master data, own MM/PP modules, and liaise with SD and FI areas while contributing to a modern, AI-augmented factory environment in

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