Support in the analysis and preparation of quality, process and performance data
Development and enhancement of dashboards, reports, and KPIs to support data-driven decisions
Identification of trends, anomalies and potential for improvement in quality data
Support in the digitization and automation of existing quality processes and workflows
Development of small automation and analytics solutions , e.g. with Power BI, Power Automate, Python or similar technologies.
Support in structuring, cleaning, and merging data from different data sources
Collaboration on use cases in the areas of data analytics, data science and AI within quality management.
Support in the development of digital solutions for quality monitoring, root cause analysis and continuous improvement
Documentation of developed solutions and support for knowledge transfer within the team

Currently enrolled in a degree program, e.g., Data Science, Business Informatics, Computer Science, Industrial Engineering, Mathematics, Statistics, Engineering, or a comparable field of study.
Interest in data analytics, digitalization and process automation
Basic knowledge in at least one of the following areas: Power BI, Python, SQL, Power Query or Power Automate
Proficient use of Excel and an interest in replacing manual evaluations with more intelligent solutions.
Analytical thinking skills and enjoyment in deriving connections and recommendations for action from data.
Structured, independent and solution-oriented work style
Interest in technical processes and quality management
Good German and English skills
Knowledge of machine learning, AI, Microsoft Power Platform or Databricks is advantageous, but not a requirement.

Practical insights into the aviation industry and jobs with responsibility
Strong team cohesion, partly through our student network and various events.
Individual support through mentoring and dedicated contact persons
Comprehensive onboarding and training courses on a wide range of topics
Flexible working hours and the possibility of mobile working (depending on the area of work)
Delicious and varied dishes in our company cafeteria
A wide range of company sports activities for active breaks alongside studies
Excellent accessibility by public transport

Student trainee for Quality Data Analytics, Digitalization and Process Automation (all genders) New

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