Master Data Intern: Elevate Data Quality & Automation

Heidelberg Materials North America

Irving (TX)

On-site

USD 25,000 - 30,000

Full time

3 days ago
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Job summary

Heidelberg Materials North America is offering a data analytics internship in Irving, TX. You will assist with data collection, cleansing, and validation to improve master and transactional data, while gaining hands-on experience with JDE and SAP systems.

You will work with Copilot and Precisely to automate processes, support data governance, and collaborate with multiple departments to streamline workflows.

Qualifications

  • Student going into junior or senior year pursuing a bachelor’s degree in a related field.
  • Demonstrates strong attention to detail and commitment to data quality.
  • Familiarity with Excel and interest in learning SAP.
  • Shows an innovative mindset and initiative to improve processes.
  • Collaborative mindset and eagerness to learn in a team environment.

Responsibilities

  • Assist with data collection, cleansing and validation to improve data quality.
  • Investigate data-related issues and support root cause analysis.
  • Work with Microsoft Copilot & Precisely to automate processes.
  • Support data governance by following established standards and procedures.
  • Gain hands-on experience with JDE & SAP systems.
  • Collaborate with multiple departments to streamline data workflows.
  • Document data processes and contribute to daily quality improvement.

Skills

Attention to detail
Excel
SAP (interest)
Innovative mindset
Collaborative environment

Education

Bachelor's degree in data analytics / data management / CS / IT or related field

Tools

Excel
SAP
JDE
Precisely
Copilot

Job description

Heidelberg Materials North America is offering a data analytics internship in Irving, TX. You will assist with data collection, cleansing, and validation to improve master and transactional data, while gaining hands-on experience with JDE and SAP systems.

You will work with Copilot and Precisely to automate processes, support data governance, and collaborate with multiple departments to streamline workflows.

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