Intern - Data Analytics
Description
Mercedes-Benz is looking a motivated, curious and detail-oriented Data Analytics Intern to join our team for a minimum six-month full-time internship commencing in January 2027. This is an exciting opportunity to gain hands-on experience at the intersection of data analytics, data-engineering and agile project management within a fast-paced, international environment. You will work alongside experienced colleagues, gain hands-on exposure to modern data platforms and contribute to strategic data initiatives supporting Mercedes-Benz's overseas markets.
Throughout the internship, you will have the opportunity to learn, contribute and build practical experience across the following areas\:
1.Data Analytics & Data Platforms
- Understand the overall data landscape for Mercedes-Benz in the Region Overseas Market, including data ingestion, data transformation, data modelling, reporting and data science.
- Prepare an overall view of the data landscape and suggest automations or improvements wherever possible.
- Gain hands-on experience with MS Azure services used in the platform.
- Gain an understanding of the data governance aspects of the data platform and prepare a report.
2. Agile Project Management
- Participate in daily stand-up, scrum sessions and agile project activities.
- Assist in preparing and maintaining online collaboration tools (e.g. SharePoint Confluence, Jira).
- Create and manage project-relevant documentation (e.g. Presentations, Visio diagrams, etc.).
- Assist in mitigating any projects impediments during the agile process.
- Learn about Mercedes-Benz Agile methodology and project-specific topics.
3. Strategic & Team Coordination
- Participate and assist in relevant events, workshops, meetings and team activities, including any preparation materials needed.
- Support team strategic activities related to reporting, ‘Nest Best (NBx)’, analytics use cases and Data Lake.
- Provide ad-hoc support, including documentation and follow-up on team topics for the region or any specific markets to ensure timelines are met.
4. Technical Exposure – Supporting Role of MB technical team
- Data modelling, application development in pyspark, code catalog in python, azure DevOps and general data engineering on databricks
- Data analysis with SQL