Intern - Data Analytics

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

• Undergraduates currently pursuing a Bachelor's degree in IT, Business, or any related field (IT-relevant study field preferred).
• A highly motivated independent and reliable team player, with positive working and learning attitude.
• Excellent communication skills in both written and spoken English.
• Knowledgeable in project management, IT solution lifecycles, and data analytics/big data will be an added advantage.
• Experience with MS Azure, including Databricks and Azure Data Factory (ADF) would be beneficial.
• Exposure to Python, PySpark or SQL will be an added advantage.

If you are passionate about data, technology and continuous improvement and are ready to turn insights into meaningful business impact, we would love to hear from you.

Only shortlisted candidates will be contacted.