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Data Scientist / Analyst - Remote

Posted 5 weeks ago
Data Analysis
Full Time
Germany, Switzerland, Poland

Overview

The Data Scientist / Analyst at HolidayCheck will leverage data and technology to enhance the vacation experience for customers by analyzing user behavior and collaborating with cross-functional teams.

In Short

  • Join a team focused on redefining the online travel business.
  • Analyze user behavior patterns to generate insights.
  • Design and evaluate A/B tests.
  • Translate data into actionable insights.
  • Collaborate with cross-functional teams to improve products.
  • Promote a data-driven mindset across the organization.

Requirements

  • 3+ years of experience in analyzing clickstream data.
  • Strong skills in SQL, BigQuery, and Python.
  • Experience with A/B testing and statistical analysis.
  • Business-driven mindset and experience with stakeholders.
  • Comfortable with big data and building dashboards.
  • Strong communicator and team player, fluent in English.

Benefits

  • 20 days of workation within the EU.
  • 60/40 hybrid model: two office days, three days remote.
  • Flexible working hours.
  • Extensive training opportunities.
  • Diverse corporate culture.
  • Childcare subsidy and gym membership options.
HolidayCheck Group AG logo

HolidayCheck Group AG

HolidayCheck Group AG is dedicated to enhancing the vacation experience for travelers while fostering an inspiring work environment for its employees, known as HolidayCheckers. With offices in Munich and Bottighofen, Switzerland, the company emphasizes teamwork, trust, and ownership in its mission to redefine the online travel industry. By leveraging data and technology, HolidayCheck processes millions of offers daily to provide valuable insights and features such as review fraud detection and customer segmentation. The company promotes a data-driven culture and offers flexible working arrangements, extensive training opportunities, and a diverse corporate culture, making it a desirable workplace for those passionate about travel and data science.

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