Data Analyst (80-100%, all genders)

Are you passionate about data? Fascinated by insights generated from data that deliver real impact? Then join the Crew Planning & Disposition team and apply your data skills to real business challenges to shape SWISS’ journey towards a truly data-driven company.

Starting date: June 01, 2025 or upon agreement

You may apply in English or German.

Tasks

As a Data Analyst, you enhance SWISS’ data capabilities by optimizing crew productivity and planning efficiency. You drive data-driven decision-making, develop impactful analytics, and shape the future of crew planning with automation, predictive insights, and strategic collaboration.

• Provide data-driven insights to optimize operational targets e.g. crew productivity by analyzing key performance metrics and trends
• Develop, maintain and enhance interactive dashboards, reports and scenario models to support planning decisions and strategic reporting
• Continuously improve data quality, automate reporting processes and expand self-service analytics to empower crew planning teams
• Implement best practices in data analytics, including predictive modeling, to drive continuous improvement
• Effectively communicate insights and collaborate with stakeholders to align crew planning with SWISS’ operational and strategic goals
• Act as key interface between data analytics and crew planning teams, fostering collaboration and driving continuous improvement in planning processes
  
  

Benefits

• Paid maternity and paternity leave
• Remote working (e.g. from home)
• Diversity programmes
• Flexible workhours and part-time working models
• Flight benefits
• Company health management
• Attractive company pension scheme
• Subsidized parking or public transport
• 27 days of annual vacation
  
  

Requirements

• Master’s degree in data science, engineering, economics, statistics, mathematics, or a related analytical field
• Proficiency in data visualization tools (e.g., Power BI, Tableau) and advanced Excel skills
• Strong SQL coding skills and experience with at least one programming language (Python or R preferred)
• Excellent analytical skills, including data interpretation, and problem-solving
• Effective communication and presentation skills, with the ability to convey insights
• Collaborative mindset with strong interpersonal skills to engage with diverse stakeholders
• Fluent in English; German is a plus
  
  

For any further questions, please contact our Recruiting Services Center at +41 44 564 22 66.

Contact

Mike Netzhammer

[email protected]