Schneider Electricposted 14 days ago
Full-time • Intern
Mechanicsburg, PA
Electrical Equipment, Appliance, and Component Manufacturing

About the position

Schneider Electric has a great opportunity for a Logistics Quality Data Analyst Intern in our Mechanicsburg, PA facility during Summer-Fall 2025. This on-site position requires the ideal candidate to be located in the general area. This internship will be full-time. No visa sponsorship or relocation will be provided for this role. Schneider Electric creates connected technologies that reshape industries, transform cities, and enrich lives. With over 135,000 employees thriving in more than 100 countries, our technology, software, and services improve the way our customers manage and automate their operations, ensuring Life Is On everywhere.

Responsibilities

  • Analyze logistics data to identify trends, anomalies, and areas for improvement.
  • Assist in the development of quality metrics and dashboards to monitor logistics performance.
  • Collaborate with cross-functional teams to ensure data integrity and accuracy.
  • Support the identification and implementation of process improvements based on data insights.
  • Prepare reports and presentations to communicate findings to stakeholders.
  • Participate in quality assurance initiatives to enhance operational efficiency.

Requirements

  • Currently pursuing a degree in Computer Science, Industrial Engineering, Mathematics, and other related fields.
  • Strong analytical skills with proficiency in Excel and data visualization tools (e.g., Tableau, Power BI, SQL, and programming language (R)).
  • Familiarity with database management and data analysis techniques.
  • Excellent attention to detail and problem-solving abilities.
  • Strong communication skills and the ability to work collaboratively in a team environment.
  • Self-motivated and eager to learn about logistics and quality management.
  • Can commute on-site and work 40 hours per week.

Job Keywords

Hard Skills
  • Computer Science
  • Data Quality
  • Power BI
  • R
  • Tableau
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Soft Skills
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  • SuEmDM3o a4ny6sBk
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