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Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.
Team mission
The Analytics department’s mission is to enable the Marketing 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.
This specific position is within our Marketing Analytics team whose objective is to help our marketing scale our investments towards the most incremental and loyal customers. This is a very strategic position within the team as the Analyst will look at solving cross-channel problems in order to accelerate our growth. This means for example addressing the best strategy to grow our display and mid-funnel spend and understanding the behaviour of our repeat audiences.
Your mission
- Develop quantitative analysis and statistical models to evaluate and steer marketing decisions
- Propose and defend strategic recommendations to our top marketing leads
- Setup and analyse marketing experiments to drive strategic decision making
- Explore large datasets, give meaning to data and numbers, identify opportunities and issues, and present findings to stakeholders
- Maintain and improve our marketing measurement tools (Attribution, experimentation framework, Customer lifetime value…)
- Serve as a liaison between the marketing teams and the data engineering team
- Mentor others in the skills needed for this role
Your toolkit
- 8+ years of relevant experience interpreting data in an analytics, data science or business intelligence role
- Strong knowledge of SQL and Python for analysis (eg, pandas, scikit-learn, pyspark)
- Ability to understand user behavior and meaning behind the numbers and a track record in sharing insights to business stakeholders
- Prior exposure to digital and performance marketing or SEO, especially data-driven platforms such as Google Ads and Meta.
- Experience with data visualization and reporting tools (e.g. Looker, Jupyter Notebooks, Databricks)
- Desire to work in an i