Intern in Data Governance (f/m/d)

MAN Truck & Bus SE · Munich

InternshipGerman needed: fluent

Still open on 1 Nov

You apply on the company's own website.

Key facts

Duration: At least 3 months; Mandatory internship, can be combined with voluntary internship
Job starts: 1 Dec 2026
Language needed: German and English
Subject you study: Data Science, Computer Science, Business Informatics, Business Administration

Support in the project with analytical and data-related tasks
Analysis of metadata at table and column level
Structured examination of data fields, descriptions and existing classifications
Participation in the identification of potentially PII (Personally Identifiable Information)-relevant data characteristics
Review and traceable preparation of data classifications
Analysis of simple quality indicators, for example missing values, empty columns or conspicuous data structures
Preparation of analysis results for technical validation and decision by the Data Owners
Participation in the development of test logics, analysis concepts and reusable procedures
Use and further development of suitable analysis tools and visualizations
Practical insight into modern data governance, metadata management and data analytics

You are currently studying a subject related to data, business informatics, computer science, data science, business administration or a comparable field
You enjoy working with data, data tables and data fields and are interested in data analysis, metadata management and data governance
You work independently, in a structured and careful manner
You prepare results in an understandable, comprehensible and target-group-oriented way
You are interested in co-developing analysis concepts and reusable test logics
First experience with Excel, Power BI, Python, SQL or comparable analysis tools is helpful but not a must
You can confidently use Microsoft 365
You have good German and English skills in both written and spoken form

Support in the project with analytical and data-related tasks
Analysis of metadata at table and column level
Structured examination of data fields, descriptions and existing classifications
Participation in the identification of potentially PII (Personally Identifiable Information)-relevant data characteristics
Review and traceable preparation of data classifications
Analysis of simple quality indicators, for example missing values, empty columns or conspicuous data structures
Preparation of analysis results for technical validation and decision by the Data Owners
Participation in the development of test logics, analysis concepts and reusable procedures
Use and further development of suitable analysis tools and visualizations
Practical insight into modern data governance, metadata management and data analytics

You are currently studying a subject related to data, business informatics, computer science, data science, business administration or a comparable field
You enjoy working with data, data tables and data fields and are interested in data analysis, metadata management and data governance
You work independently, in a structured and careful manner
You prepare results in an understandable, comprehensible and target-group-oriented way
You are interested in co-developing analysis concepts and reusable test logics
First experience with Excel, Power BI, Python, SQL or comparable analysis tools is helpful but not a must
You can confidently use Microsoft 365
You have good German and English skills in both written and spoken form