Data Analysis Internship- Customer Service (Summer 2027)

Siemens develops sustainable rail technology and provides transportation, rail automation, electrification, rolling stock, and service solutions. The Customer Services Data Analysis Intern will support the Rail Asset Management and Performance Center by monitoring rail vehicle fleet performance, analyzing equipment failure and remote diagnostic data, and connecting technical failures to service interruptions and corrective actions.

What you'll do:

• Learn about our standard processes
• Work with all the different RAMP groups; starting with the mechanical desk to follow train operations in Wilmington, DE, then having the option to move on to our expert data analytics team or Engineering teams in our Siemens New Castle, DE facility. Continue to work through the processing and interpretation of data and insights by working with our performance and change managers to make final decisions related to important business outcomes
• Learn about and create Weibull analysis
• Learn about analytical programs such as Power BI and Spotfire; create reports and dashboards that contribute to actionable outcomes
• Learn about how a locomotive works through training and shadowing and through the assignment of relevant tasks to build up your practical knowledge
• Interface with different areas of the RAMP, Modifications and Engineering departments and learn about how collaboration drives success

What they're looking for:

• Must be pursuing a bachelor's or advanced degree in Engineering - Mechanical, Electrical, Computer or similar from an accredited college or university
• Availability: 40 hours per week from June to August
• Work Authorization: Applicants must be legally authorized for employment in the United States without the need for current or future employer-sponsored work authorization
• Must reside or go to school near internship location (New Castle)
• Candidates should be willing to work in non-climate-controlled environments and inclement weather if required or if applicable
• Prior internship or co-op experience (preferred)

Benefits:

• Hands-on experience, real-world skills, and valuable knowledge while developing yourself professionally
• Training and shadowing on how a locomotive works
• Opportunity to learn analytical programs such as Power BI and Spotfire
• Opportunity to work with expert data analytics and Engineering teams