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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

24Open Positions

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Working Student Data (f/m/d)

think-cell Software
Found 2 weeks ago
Location
Berlin, Germany
Time
Part-time
Work Mode
Hybrid
Salary
Not specified
Visa Help
Not disclosed
Last Verified
2 weeks ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Power BI
  • dbt
  • Airflow
  • Jupyter
  • SQL
  • Python
  • Git

Soft Skills

  • Communication skills
  • Reliable
  • Motivated
  • Flexible
  • Analytical

Job Description

We are looking for a motivated and enthusiastic Working Student to join our Data team and support us in business intelligence (BI) and analytical work. This is a great opportunity for someone interested in working with data, learning about data architecture, and gaining hands-on experience with powerful tool s. Our tech stack includes Power BI, dbt , Airflow, Jupyter , and other tools. Key Responsibilities: * Learn Data Architecture: Learn fundamental data architecture principles, including how data tables and sources are structured * Build Data Models and Reports: Assist in creating data models and reports and support analytical tasks to ensure effective use of data across the organization * Support Power BI Implementation: Assist with the implementation and maintenance of Power BI tools for data visualization, reporting, and analysis * Turn Data into Insights: Collaborate with team members to analyze data and assist in developing actionable insights * Support Data Projects: Collaborate with data team members to support and deliver data-related projects

Requirements

  • Currently studying in a relevant field such as Statistics, Mathematics, Business Administration, Economics, Computer Science, or similar
  • Strong communication skills in English (written and spoken)
  • Willingness & ability to quickly learn new tools (Power BI, Git, dbt, Airflow)
  • Basic understanding of data concepts (e.g., tables, joins, data structures) and familiarity with or willingness to learn SQL and Python
  • An interest in working with data and a passion for analytical tasks
  • Previous work experience, ideally in a data-related field, is a plus but not required
  • Reliable and motivated to contribute to the team
  • Flexible, with the ability to work between 6 months to 2 years.

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • Previous work experience, ideally in a data-related field
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