We invite you to learn about Siemens Mobility Customer Service. We are a leading global provider of short-distance, regional, and long-distance rolling stock and product, system, and digital solutions for passenger and freight transport. We ensure that passengers are transported in a safe and comfortable environment while also meeting economic and environmental requirements. Our products are pioneering and enable cost-effective operations while reducing environmental impact and conserving resources.
We seek to fill an entry-level position in the Rail Asset Management & Performance Center team in New Castle, Delaware. You’ll be responsible for reporting on our performance indicators to monitor the allocated fleet(s) and find opportunities to improve reliability and performance. The Reliability Data Analyst will investigate and recommend continuous improvements for our locomotive and trainset fleets and provide specialist technical support to the maintenance teams. We offer a hybrid schedule with flexible in-office and work-from-home hours.
What your day-to-day will look like:
§ Ensure the field experience data and information is collected (Salesforce, SAP, or MAXIMO), comprising all corrective and preventive maintenance activities and material use.
§ Enhance fleet performance and identify improvement opportunities by analyzing data to help prevent in-service failures and to provide trend analysis to aid fleet reliability improvement measures.
§ Evaluate data for historical losses and establish trend analysis to support material, logistic, and maintenance planning.
§ Review, update and analyze internal performance databases.
§ Monitor reliability and performance trends and develop continuous improvement proposals.
§ Produce accurate and timely reports for Fleet Performance and Reliability.
§ Review all defects and actions are taken to rectify them to a satisfactory level.
Required Knowledge/Skills, Education, and Experience:
§ Minimum of an Associate Degree in a Data Analytics or equivalent field or a combination of education and 1-3 years of practical experience in a similar role.
§ Demonstrate core proficiencies of effective communications, listening, and strong organizational and analytical skills.
§ Ability to learn how to use several internal databases/systems
§ Ability to work systematically and meet deadlines with minimal supervision
§ Possess demonstrable skills with all Microsoft Office (including Excel/Word/Access/PowerPoint/PowerBi) products (advanced knowledge)
§ Basic understanding of Reliability principles to the overall product development life cycle (verification/validation of requirements, failure distributions, root cause analysis, FRACAS, etc.)
§ Experience maintaining and applying FRACAS databases
Preferred Knowledge/Skills, Education, and Experience:
§ Understand Rolling Stock maintenance regimes and fault-finding principles
§ Knowledge of Code of Federal Regulations CFR-49
§ Background or formal training in Quality tools, e.g., six sigma, Cause mapping, 5s.
§ Ability to analyze data and prepare reports using analytics and business intelligence platforms like Tableau, Microsoft Power BI, TIBCO Spotfire, or similar.
§ Experience with basic Excel/VBA/SQL programming, with knowledge of applying script logic to extract, analyze, or process data.
§ Understanding of Railroad key performance indicators/metrics (e.g., MDBF, MTBF, FPM, Availability, MTTR)
§ Experience with Reliasoft Software (Weibull ++) analyses
Why you’ll love working for Us:
While we appreciate all applications, we advise that only candidates under consideration will be contacted.
Qualified Applicants must be legally authorized for employment in the United States. Qualified Applicants will not require employer-sponsored work authorization now or in the future for employment in the United States.
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Organization: Siemens Mobility
Company: Siemens Mobility, Inc
Experience Level: Early Professional
Job Type: Full-time
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
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