Data Analyst Internship

Siemens Mobility US is looking for aspiring data experts to come aboard for a 6 month internship journey where they will get exposure to what happens behind the scenes to make the rail world go round.  

During your journey with us, you will have the opportunity to help build and align the data models used to optimize internal workflows, as well as improve existing Finance Excellence projects.

If you are a rising junior or senior pursuing an undergraduate degree, live near our Alpharetta GA400 Location and are ready to discover the amazing opportunities that the rail industry has to offer then look no further. 

A little bit about us: 

Siemens Mobility provides efficient and coordinated transportation of people and goods by rail – including rolling stock, rail automation, rail electrification, and service. We craft and manufacture across the entire spectrum of rolling stock, including commuter and regional passenger trains, light rail and streetcars, metros, locomotives, passenger coaches, and high-speed trainsets. Cities and Railroads also rely on us to provide traction-power substations and electricity transmission, as well as signaling and control technology for freight and passenger rail and transit systems.  

Basic Qualifications:  

Must be pursuing a Bachelor Degree in Mechanical or Industrial Engineering or related field from an accredited college or university 

Legal authorization to work in the US is required 

Must reside or go to school near internship location 

Root Cause Analysis theoretical and practical knowledge 

Experience with 3D Drawing Tools, such as Pro/E or Crew View is a plus 

Experience with Excel 

Familiarity with the latest trends in artificial intelligence and machine learning 

Preferred Qualifications 

Preferred cumulative GPA of 3.0 

Previous internship experience or relevant school projects 

Strong communication skills – verbal and written 

Interest in exploring failure mode analysis using FMECA Testing

Preferred Qualifications: 

Preferred cumulative GPA of 3.0 

Previous internship experience or relevant school projects 

Strong communication skills – verbal and written 

Ability to work on a team