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