As a Working Student (Data & Analytics), you will support our commercial analytics and data engineering efforts, helping us optimize data pipelines, develop analytical insights, and enhance digital workflows. Your work will directly contribute to better decision-making in sales, marketing, and business development.

✅ Technical Skills:

• Must-have:
  • SQL and Python (for data handling and analytics).
  • Proven experience in independent data analytics projects such as research projects or relevant personal/work projects that showcase analytical skills and interest in data-driven solutions.

• Nice-to-have / Learn-on-the-job:
  • Interest in business applications like Dynamics 365 and how data supports the sales funnel & customer journey.
  • Familiarity with tools like Power BI, Power Apps, Microsoft Fabric, or Dataverse.
  • Understanding of data workflows, automation, or DevOps (Jenkins, Redmine, etc.).
  • Solid knowledge in statistical modeling, empirical research, or ML applications.

Who should Apply?

If you’re studying Business Informatics, Computer Science, Economics, Data Science, or a related field and are interested in data-driven business solutions, this is a great opportunity to gain hands-on experience in a global company.

🎯 What You’ll work On & Gain from This Role:

• ETL & Data Processing: Support data extraction, transformation, and loading (ETL) workflows to ensure structured and reliable datasets.
• Data Quality & CRM Management: Ensure high-quality CRM data by cleaning duplicates, structuring account lists, and verifying customer records.
• Data Analytics & Business Intelligence: Work with SQL and Power BI to analyze business data, build dashboards, and present insights that impact commercial strategy.
• Machine Learning & Advanced Analytics: Support statistical modeling, empirical research, and automation projects, gaining exposure to real-world applications of AI and data science.
• Business & CRM Understanding: Work with Dynamics 365 data to analyze the sales funnel, customer journeys, and business impact, while collaborating with international teams.

Start: as of now

Duration: 6 months, with option to extend
Working time: approx. 20 hours per week
Location: Bad Homburg