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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

11Open Positions

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Working Student Business Analytics

mabanaft
Found 3 weeks ago
Location
Hamburg, Germany
Duration (Months)
12 Months
Time
Part-time
Work Mode
Hybrid
Salary
salary expectations
Visa Help
Not disclosed
Last Verified
3 weeks ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Power BI
  • Azure-based data products
  • PySpark
  • SQL
  • Python
  • Scala

Soft Skills

  • structured and reliable way
  • Organised & Detail-Oriented
  • Collaborative Mindset
  • Curious & Eager to Learn

Job Description

As a Working Student (m/f/d) Business Analytics, you are an important interface between business stakeholders and our data & analytics team. You support the development and continuous improvement of our data-driven products and gain hands-on experience across the full lifecycle – from requirements gathering to implementation and operations. You will be part of a collaborative, agile environment, working closely with Product Owners, Data Engineers, and business teams. In this role, you contribute to building scalable data solutions that support better decision-making and drive the digital transformation of MB Energy.

Requirements

  • enrolled student (m/f/d), preferably in business informatics, computer science, economics, mathematics or a related field with a strong interest in data & digital products.
  • Curious about data analytics, data modelling, and digital product lifecycles – from idea to operation.
  • First experience with data visualisation tools (e.g. Power BI) is a plus
  • programming knowledge (e.g. Python, SQL, Scala) is beneficial.
  • work in a structured and reliable way
  • keep track of tasks
  • maintain clear documentation.
  • Strong interest in data, digital products, and continuously developing your skill set.
  • keep an overview of multiple tasks
  • ensure a high level of accuracy in your work.
  • enjoy working with different stakeholders and contribute to a positive, team-oriented environment.

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English
  • German

Nice to Haves

  • First experience with data visualisation tools (e.g. Power BI) is a plus
  • programming knowledge (e.g. Python, SQL, Scala) is beneficial
▶Apply Now

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