VIE - Fleet Data Analyst CMAX (w/m/d) 1 1

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Date: 5 Oct 2026

Location: Braunschweig, DE

Company: Alstom

At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. 

In the DACH region, Alstom employs approximately 11,000 people across 16 locations.


 

Could you be the full-time Fleet Data Analyst in Hennigsdorf we’re looking for?


Your future role

 

Take on a new challenge and apply your technical expertise in a new cutting-edge field. You’ll work alongside collaborative and innovative teammates.

You'll play a key role in ensuring the seamless collection, analysis, and evaluation of critical data to enhance maintenance and operational performance. Day-to-day, you’ll work closely with teams across the business (such as Engineering, Service Centers, and suppliers), assess the quality of data sources, and provide actionable insights based on your analyses—and much more.

 

You’ll specifically take care of integrating operational data into analysis environments for technical evaluations, but also conducting in-depth assessments of diagnostic systems and data trends.

 

We’ll look to you for

 

  • Ensuring data collection from relevant sources, such as TCMS, TrainScanner, infrastructure systems, and sensors
  • Analyzing the technical performance of data collection systems and evaluating the quality of existing data sources
  • Identifying additional data sources, including new sensor technologies
  • Performing targeted analyses of predefined indicators and key focus areas, such as increased failure rates or wear patterns
  • Graphically preparing data trends and evaluating maintenance and reliability parameters
  • Collaborating with various stakeholders to validate and clarify technical findings


All about you

 

We value passion and attitude over experience. That’s why we don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role:

 

  • A completed technical education or vocational training (e.g., state-certified technician or equivalent) with relevant professional experience
  • Proficient in English. German is a plus.
  • High IT affinity and knowledge with programming & AI prompting
  • Experience or understanding of data collection and business intelligence systems 
  • Knowledge of data analysis methodologies and tools
  • Self-reliant, structured, and results-oriented working style
  • Excellent teamwork and communication skills


Things you’ll enjoy Join us on a life-long transformative journey – the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career.

 

You’ll also:

 

  • Enjoy stability, challenges and a long-term career free from boring daily routines
  • Work with cutting-edge technologies for rail diagnostics and performance analysis
  • Collaborate with transverse teams and helpful colleagues
  • Contribute to innovative projects that shape the future of mobility
  • Utilise our flexible and inclusive working environment
  • Steer your career in whatever direction you choose across functions and countries
  • Benefit from our investment in your development, through award-winning learning
  • Progress towards advanced roles in technical analysis, engineering, or data science

 

 

 

You don’t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you’ll be proud. If you’re up for the challenge, we’d love to hear from you!


Important to note

As a global business, we’re an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. We’re committed to creating an inclusive workplace for everyone.


Job Segment: Database, Transportation, Business Intelligence, Operations, Technology

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