Intern - Data Analytics

Mercedes-Benz is seeking a motivated and detail-oriented Data Analytics intern to join our team from December 2025 for a 4–6 month journey into the world of data-driven innovation and agile project execution. This internship offers a unique opportunity to work with advanced data platforms, contribute to strategic initiatives, and collaborate across departments in a fast-paced, global environment.As an intern, you’ll gain hands-on experience in the following areas:1. Data Analytics Understand the full data landscape across the Mercedes-Benz Market, including ingestion, transformation, modeling, reporting, and data science.Develop a comprehensive view of data workflows and recommend automation or optimization opportunities.Work with Microsoft Azure services and explore data governance practices.Prepare a report summarizing governance insights and platform improvements.2. Project ManagementParticipate in daily stand-ups and agile scrum sessions.Maintain and enhance collaboration tools like SharePoint, Confluence, and Jira.Create and manage project documentation including presentations and process diagrams.Assist in resolving project impediments and learn Mercedes-Benz Agile methodology.3. Administrative CoordinationSupport workshops, meetings, and team events, including preparation of materials.Contribute to strategic reporting, Nest Best (NBx) analytics use cases, and Data Lake initiatives.Provide documentation and follow-up support to ensure timely execution across markets.4. Technical Aspects – Supporting Role of MB technical teamAssist with data modeling and application development using PySpark and Python.Contribute to code cataloging, Azure DevOps workflows, and Databricks engineering tasks.Perform data analysis using SQL.QUALIFICATIONSCurrently pursuing a Bachelor's degree in IT, Business, or a related field (IT focus preferred).Self-motivated, dependable, and eager to learn in a team-oriented environment.Strong communication skills in English, both written and spoken.Familiarity with project management, IT lifecycles, and big data concepts is a plus.Experience with MS Azure, including Databricks and Azure Data Factory (ADF).Exposure to Python is an advantage.