Internship in Web Data Analytics

Vor 4 Tagen


Kloten, Zürich, Schweiz Swiss International Air Lines Vollzeit CHF 60'000 - CHF 90'000 pro Jahr

You love data, web analytics, and want to learn how to apply it in fascinating projects?This internship will put you at the heart of customer data to maximize its value contribution.You will dig through real customer data from our booking platforms and show our team what behavioral signals you discover.

Start
:February 01,2026

Workplace:
Zürich Kloten(and home office)

You may apply in English or German
Tasks
As an intern, you will work closely with data engineers, data scientists, and marketing teams to analyze web data. Your job is to identify which user behaviors are worth targeting and help our audience engineers build better customer segments.

  • Explore and analyze web events in Google Analytics, Tealium, and BigQuery to find patterns in user behavior
  • Use SQL to query millions of customer records and event data to identify what drives conversions
  • Document which events and behavioral signals are most valuable for audience building
  • Present findings and recommendations to the team
  • Run your own data project using our enterprise tech stack and real customer data

Benefits

  • Diversity programmes
  • Discounts
  • Flight benefits
  • 25 days of annual vacation
  • Company health management
  • Employee and networking events
  • Remote working (e.g. from home)
  • Subsidized parking or public transport
  • Flexible workhours and part-time working models

Requirements
All you need is a passion for web analytics and data analysis. Marketing knowledge is a plus.

  • Bachelor's or Master's degree in computer science, computer engineering, data science, web analytics, marketing analytics or related technical field
  • Experience with Google Analytics(GA4 preferred) and understanding of web event tracking
  • Strong SQL skills for analyzing large datasets. Knowledge in Python is a plus
  • Familiarity with tag management systems (Tealium,GTM) or willingness to learn quickly
  • Comfortable working with technical tools like BigQuery, cloud platforms, and business intelligence tools
  • Self-motivated with an independent, structured approach to learning and work
  • Analytical, conceptual, and creative in problem-solving
  • Collaborative, team-oriented personality
  • Very good spoken and written English

For any further questions, please contact our Recruiting Services Center at

Contact
Kurt Suter


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