Senior Data Analyst, Product
GetYourGuide
About the role
Senior Data Analyst, Product
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About
Change the way the world travels
Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary – including yours.
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 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.
In this analytics role, you will be a key partner to the product teams that build the foundational, cross‑cutting components of our marketplace. You will tackle complex and ambiguous questions, helping to quantify the impact of new features and build the business case for strategic initiatives. A major part of your role will be to guide the product development lifecycle through rigorous experimentation, from opportunity sizing and hypothesis generation to impact analysis and the delivery of recommendations. You will play a crucial part in providing the insights needed to prioritize opportunities, evaluate end‑to‑end impact, and create a more cohesive and optimal experience for our customers and suppliers worldwide.
Your mission
- Develop quantitative analysis to drive product and marketing decisions.
- In collaboration with stakeholders identify opportunities and dependencies.
- Collaborate with Products and Engineering leads to develop a comprehensive understanding of end‑to‑end product experience.
- Design and implement data models, metrics and visualizations to guide the team’s 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 development and evaluation.
- Answer the big questions to push our knowledge of our customers further.
- Contribute to the strategic thinking of the team by being a thought partner to the Product Managers.
Your toolkit
- 5+ years of relevant experience interpreting data in an analytics or data science role.
- Excellent stakeholder management & communication skills.
- Strong knowledge of SQL and Python.
- Strong experience designing and analyzing product experiments (e.g., AB testing or quasi experiments).
- Strong statistical background and proficiency with advanced statistical methods (e.g., causal inference methods, difference‑in‑differences, regression analysis, propensity score matching).
- Ability to understand user behavior and meaning behind the numbers, and translate them into actionable insights.
- Systems‑oriented thinking, ability to connect the dots between multiple parts of the business in order to understand overall customer experience.
- Practical, solution‑oriented mindset with a focus on driving customer and business impact.
Extras that give you an edge
- Broad experience as a generalist across multiple analytics domains (e.g., product and marketing etc.).
- Experience processing event tracking data at scale.
- Familiarity with machine learning evaluation or model‑driven personalisation is a plus.
- Experience with data visualization and reporting tools (e.g., Looker, Jupyter Notebooks).
- Experience with attribution and financial modelling.
- Experience with LLM APIs (OpenAI, Gemini, Anthropic).
How we’ll make your career journey extraordinary
- Annual personal growth budget and mentorship programs for continuous learning and development.
- Work from anywhere in the world for 30 days per year.
- A hybrid working approach with three days of in‑office collaboration (Mon, Tue, Thu) and two days of optional at‑home focus time.
- Opportunities to collaborate and socialize with team members through quarterly team events and yearly company‑wide events.
- Monthly transportation and fitness budget.
- Discounts for you, your friends, and family on GetYourGuide activities.
- Language reimbursement program.
- Health and wellness benefits.
- And more...
How to apply
Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.
We’re an equal opportunities employer
Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application.
#LI-Hybrid
Benefits at GetYourGuide Berlin
Financial
- Monthly allowance for transport (Deutschland ticket)
- Bonuses for successful employee referrals
- Virtual shares so you can be part of our success
- Company contributions to personal pension plans
Health & Wellness
- Monthly transportation and fitness budget
- Discounted Urban Sports Club membership
- Mental wellbeing services with nilo.health
- In‑house gym and fitness classes
- Annual flu shots
- 1,000 € yearly for courses and training
- Language course reimbursement
Growth
- 30 days per year for telecommuting
- 10 days of paid educational leave every 2 years
- Mentorship program
- Access to AI tools like ChatGPT and GitHub Copilot
- Regular meetups, workshops, and hackdays
Other
- 25 vacation days; +1 for each additional year up to a cap of 28
- 20% discount for friends & family on GetYourGuide activities
- Weekly catered brunches, lunches, and snacks
- Extra days off when winter holidays land on weekends
- Annual GetYourGuide Summits
- Partner discounts including FutureBens, Plant Club, and more
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Requirements
- Excellent stakeholder management & communication skills.
- Strong knowledge of SQL and Python
- Strong experience designing and analyzing product experiments (eg. AB testing or quasi experiments)
- Strong statistical background and proficiency with advanced statistical methods (e.g. causal inference methods, difference-in-differences, regression analysis, propensity score matching)
- Ability to understand user behavior and meaning behind the numbers, and translate them into actionable insights
- Systems-oriented thinking, ability to connect the dots between multiple parts of the business in order to understand overall customer experience.
- Practical, solution-oriented mindset with a focus on driving customer and business impact.
Responsibilities
- Develop quantitative analysis to drive product and marketing decisions.
- In collaboration with stakeholders identify opportunities and dependencies.
- Collaborate with Products and Engineering leads to develop a comprehensive understanding of end-to-end product experience.
- Design and implement data models, metrics and visualizations to guide the team’s 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 development and evaluation.
- Answer the big questions to push our knowledge of our customers further.
- Contribute to the strategic thinking of the team by being a thought partner to the Product Managers.
Benefits
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