Paid Internship
Work Mode
Time Spent
Required Degree
Duration

Open Positions

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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

8Open Positions

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  • Student worker

    Siemens Energy
    Esbjerg, Denmark
    Found 1 month ago
  • Assistant Concepteur-Rédacteur (H/F/X) - Alternance

    BETC FULLSIX
    Pantin, France
    Found 11 hours ago
  • Trainee Creative Copy - Prácticas

    Omnicom Reputation Group
    Barcelona, Spain
    Found 1 day ago
  • Trainee Creative Copy - Prácticas

    CDM Barcelona
    Barcelona, Spain
    Found 1 day ago
  • Intern

    InBold
    Copenhagen, Denmark
    Found 4 weeks ago
  • Copywriter

    SportCity
    Amsterdam, Netherlands
    Found 1 month ago
  • Praktikum als Texter*in mit Aussicht auf mehr

    Die Bewerbungsschreiber - webschmiede GmbH
    Potsdam, Germany
    Found 2 months ago
  • E-Commerce Copy & Language Service Intern

    Kering
    Paris, France
    Found 2 months ago
  • Copywriter Intern (AI & Kommunikation)

    PayTjek
    Copenhagen, Denmark
    Found 3 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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