Senior Data Analyst, Ranking
GetYourGuide
Seniority
Senior
Model
Hybrid
Sector
Salary
Undisclosed
Contract
Full-Time
About the role
In this analytics role, you will be a key analytical partner to the Ranking team — the team that determines what millions of travelers see when they search and explore GetYourGuide. You will collaborate closely with engineers, data scientists, and product managers across the entire experimentation lifecycle, from hypothesis design and metric selection through rigorous statistical analysis to executive-ready recommendations.
What you'll do
- Own the analytical problems that matter most for ranking — from experimentation methodology to marketplace modeling — and turn them into solutions that directly shape the team's roadmap.
- Deeply understand the methodological challenges of evaluating ranking, find rigorous solutions, and systematize them into the team's production workflows.
- Drive the strategic analytics — such as long-term value modeling and marketplace dynamics — that determine where ranking goes next.
- Make ranking understood and leveraged across the company, serving as a thought partner to product, supply, and leadership on how ranking can work for them.
- Champion hypothesis-driven development and rigorous evaluation as the standard for how the team and the broader organization make decisions.
What you'll need
- 5+ years of experience in an analytics or data science role, interpreting data to drive business decisions.
- Strong statistical foundation: solid knowledge of advanced statistical methods (e.g. causal inference, difference-in-differences, regression analysis, propensity score matching, sequential testing, etc.) applied in a business context where the consequences were real.
- Experience with experimentation at scale: A/B tests, runtime estimation, and opinions on when standard methods fall short.
- Production-grade coding in SQL and Python — code that runs in production, whether pipelines, an experimentation platform, BI tooling, or another data application.
- Experience working with data products or machine-learning-powered applications.
- Outstanding communicator: writes clearly, presents confidently, and can align engineers, PMs, and execs on the way forward.
- Comfortable with ambiguity: able to identify what matters, frame the problem, and drive it forward.
Nice to have
- Experience with ranking, search, or recommendation systems that drive meaningful revenue — especially in a marketplace context.
- Experience building AI-powered products — consumer-facing, internal tools, or productivity workflows.
- Experience contributing to a software repository: GitHub, CI/CD, and the difference between pushing code to a branch and deploying it.
What they offer
- Annual personal growth budget and mentorship programs
- Work from anywhere in the world for 30 days per year
- Hybrid working: three days in-office (Mon, Tue, Thu), two days optional at home
- Monthly transportation and fitness budget
- Discounts on GetYourGuide activities for you, friends, and family
- Language reimbursement program and health and wellness benefits

