Data Analyst Intern

EnerSys Delaware Inc.Springfield, MO
Onsite

About The Position

EnerSys is a global leader in stored energy solutions for industrial applications. We have over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwide headquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. We complement our extensive line of Motive Power and Energy Systems with a full range of integrated services and systems. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products. Motive Power applications include industrial lift trucks and pallet jacks, rail equipment, mining equipment, and airline ground support equipment. Some of the motive power brands include Hawker, Ironclad, General Battery, and Fiamm. Wherever there is a need for motive power, EnerSys offers the perfect energy solution.  Job PurposeThis position is part of the Transportation Product Management team and focuses on analyzing warranty data to identify trends across customers, products, and performance metrics. Key responsibilities include developing and enhancing automated reporting tools to support standardized warranty reporting and improve data visibility. This role offers an excellent opportunity for a student interested in data analytics to gain hands-on experience working with real-world data that directly influences business decisions and product strategy.

Requirements

  • Working toward a degree in Business or other technical area
  • Proficiency in Microsoft Office software, especially Excel
  • Ability to communicate (orally and in writing) in a professional manner when dealing with customers, field sales and company contacts

Responsibilities

  • Analyze warranty claims data to identify trends
  • Scrub, confirm and organize large datasets for reporting and analysis
  • Develop automated reports
  • Support continuous improvement by providing data-driven insights
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