Data Analyst, Product Analytics

About GetYourGuide

GetYourGuide is the globally leading marketplace for unforgettable travel experiences. Travelers use GetYourGuide to discover the best things to do in a destination. Since its founding in 2009, travelers from over 170 countries have booked more than 200 million tours, activities, and attraction tickets through GetYourGuide. Powered by a global team of over 700 travel experts and technologists, we are headquartered in Berlin and have 17 local offices around the world. Visit our careers website to learn more.

Team Mission

The Analytics department's mission is to enable the organisation to take action based on data. We work on a variety of problems and datasets as members of cross-functional mission teams. We take ownership of the entire analytics funnel, from exploration through recommendations to impact measurement and take pride in the insights we generate.

As a Data Analyst in the Product Analytics team, you will support the Fulfillment mission—improving the post-booking experience, empowering suppliers, and enabling Care to resolve issues efficiently. You’ll work across the analytics funnel to drive measurement, strategy, and decision-making. Example problems include quantifying the impact of improved pickup selection on defect rate, identifying drivers of booking issues, or evaluating how post-booking communication affects traveller sentiment and retention.

You will

• Design and analyze A/B tests to evaluate product changes and guide decision-making.
• Develop quantitative analysis to drive product decisions
• Help the product teams to learn about their features by designing and analyzing Experiments.
• Design and implement metrics, dashboards, and reports to guide the teams’ product strategy and success.
• Support the technical teams in tracking and producing more insightful data.
• Contribute to the learning and experimentation culture of the company by promoting hypothesis-driven product development and evaluation.
  
  

Who You Are

• 2-3 years of relevant experience interpreting data in an analytics, data science or business intelligence role
• Strong knowledge of SQL and knowledge of Python
• Experience with data visualization and reporting tools (e.g. Looker, Jupyter Notebooks)
• Curiosity, reasoning skills with proven evidence of problem solving.
• Ability to understand user behavior and meaning behind the numbers
• Desire to work in an international environment, with minimal direction and with highly engaged individuals
• Ability to communicate data insights clearly to non-technical stakeholders, influencing decisions across product, engineering, and operations
  
  

Nice to have

• Previous experience working with agile product teams is a plus.
• Experienced with the statistics and assumptions of experimentation.
• Familiarity with ETL technologies like Airflow is a plus.
• Experience with big data tools (e.g. Spark, Hive) is a plus
• Experience with LLM APIs (OpenAI, Gemini, Anthropic) is a plus.
  
  

How We Set You Up For Success

• Meaningful work that helps create memorable travel experiences.
• The opportunity to contribute to the
• A diverse, inclusive environment where your voice is valued
• Collaboration with smart, engaged colleagues from over 80 nationalities
• English-speaking office environment
• Continuous learning opportunities through monthly Hackathons, weekly tech talks, and an annual external training budget
• Mentorship programs to support your growth and career development
• Flexible working arrangements to support work-life balance
• GetYourGuide vouchers.
  
  

And more…

We look forward to hearing from you

Unlock your full potential and join our mission to create unforgettable experiences for millions around the world. If you have the skills and passion for joining our team, we invite you to apply by submitting your CV/resume in English through the form below. Check out how we hire for tips and visibility into our process and check out life at GetYourGuide. If you have any further questions, please do not hesitate to contact us via [email protected].

We are an equal opportunity employer

Our commitment is that every qualified person will be evaluated according to skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with the application.