Independently identify areas for improvement and develop data-driven solutions to sustainably enhance operational performance.

Develop and implement AI-driven analytical methods (e.g., predictive analytics, GPT-powered tools, or process automations) to support data-informed operational decisions.

Build, maintain, and continuously improve interactive dashboards and reports in Power BI to visualize performance indicators, process stability, and operational efficiency.

Analyze large and complex operational datasets (e.g., punctuality, rotation stability, turnaround performance, irregularities) to identify trends, root causes, and optimization opportunities.

Design and maintain data interfaces and automation workflows (e.g., using Python, Power Automate, or API-based systems).

Prepare executive-level presentations with clear insights and actionable recommendations for senior management.

Lead and support special projects related to digital transformation and the advancement of data-driven decision-making processes.

University degree in Data Analytics, Business Informatics, Aviation Management, Engineering, or a comparable field of study.

Solid experience in data analysis and visualization, ideally with Power BI, SQL, Python, or R.

Passion for artificial intelligence and hands-on experience with GPTs, machine learning approaches, or workflow automation.

Strong ability to translate complex data into clear, actionable insights.

Structured, analytical, and results-oriented working style with a high degree of ownership and initiative.

Experience in an airline operations environment is an advantage but not a requirement.

Excellent English communication skills, both written and spoken - German is an advantage.