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Open Positions

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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

11Open Positions

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  • Student worker

    Siemens Energy
    Esbjerg, Denmark
    Found 1 month ago
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    Braunschweig, Germany
    Found 3 weeks ago
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    Gosselies, Belgium
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    Airbus Helicopters
    Donauwörth, Germany
    Found 1 month ago
  • ATR-Apprenticeship-MAP-STRUCTURES

    Airbus Helicopters
    Toulouse, France
    Found 1 month ago
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    Pratt & Whitney
    Rzeszów, Poland
    Found 1 month ago
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    Leonardo
    Brindisi, Italy
    Found 2 months ago
  • Stage 2026 - Bac Pro Aéronautique option structure : Ajusteur Monteur (ALL GENDER)

    Airbus
    Rochefort, France
    Found 2 months ago
  • ESA Graduate Trainee in Materials, Environments and Contamination Control

    European Space Agency - ESA
    Noordwijk, Netherlands
    Found 2 months ago

Student worker

Siemens Energy
Found 1 month ago
Location
Esbjerg, Denmark
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Excel
  • Power BI
  • formulas
  • pivot tables

Soft Skills

  • analytical mindset
  • attention to detail
  • structured approach to tasks
  • Excellent communication skills
  • written and spoken
  • proactive attitude
  • curiosity
  • reliability
  • willingness to learn
  • take ownership of tasks

Job Description

As a Student Worker, you will play a vital role in supporting our team with various tasks, primarily focusing on Excel, Power BI, and ad hoc requests. Your day will be dynamic and engaging, providing you with hands-on experience in a fast-paced environment. You’ll collaborate with team members across different departments, contributing to meaningful projects and gaining valuable insights into our operations.

Requirements

  • Enrollment in a higher education program, ideally in Business, Economics, Engineering, Data/Analytics, or a related field.
  • Proficiency in Excel and Power BI, including knowledge of formulas and pivot tables.
  • A strong analytical mindset with attention to detail and a structured approach to tasks.
  • Excellent communication skills, both written and spoken, with the ability to convey insights clearly.
  • A proactive attitude, curiosity, and reliability, with a willingness to learn and take ownership of tasks.

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English
▶Apply Now

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