Internship Data Analyst Sales at Bosch Ebike Systems

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
TheRobert Bosch GmbH is looking forward to your application!

Job Description

• You will use Python, Power BI, KNIME and Microsoft Fabric to analyze, manipulate and report data, focusing on key sales metrics and KPIs.
• Furthermore, you will utilize databases, SQL, and Python to calculate and analyze sales KPIs, ensuring accurate insights and reporting.
• Gain exposure to key account management processes, helping to optimise and manage client relationships.
• Finally, you will assist Sales Controlling, Commercial Management and Global Sales Management teams with their daily operations by providing data-driven decisions, insights and actionable reports.

Qualifications

• Education: studies in the field of Computer Science, Information Science, Engineering or comparable
• Experience and Knowledge: first experience in Power BI, Python and SQL, IT affinity
• Personality and Working Practice: a motivated, passionate, communicative and flexible person with an organised and structured way of working
• Languages: good in English and German both writing and speaking

Additional Information

Start: February 2025
Duration: 6 months

Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Nipun Amar (Functional Department)
+49 7121 35 32719

#LI-DNI

Summary

• Type: Full-time
• Function: Analyst