At a Glance
- Tasks: Lead advanced analytics initiatives to shape Airbnb's international growth strategy.
- Company: Join Airbnb, a global leader in travel and hospitality, fostering community connections.
- Benefits: Competitive salary, bonuses, equity, benefits, and Employee Travel Credits.
- Other info: Collaborative environment with opportunities for innovation and career advancement.
- Why this job: Make a real impact on global growth while working with cutting-edge data technologies.
- Qualifications: 4+ years in data science or analytics, expert in SQL, and strong data storytelling skills.
The predicted salary is between 60000 - 70000 € per year.
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
Community You Will Be Part Of
Airbnb, a leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. We offer unique accommodations and experiences, crafted and curated by locals. As we expand into new marketplaces for in-person experiences and services, we are on the lookout for driven and innovative individuals to help shape our growth trajectory.
Difference You Will Make
This Advanced Analytics role will develop and lead initiatives focused on ensuring we have the right international growth strategy. They will lead measurement, build tools, and develop insights leveraging a wide range of internal and external data sources to ensure the business is making the right decisions for both strategic direction and tactical execution. The ideal candidate is someone with a strong data and analytics background. This person is curious, engaged, positive, and detail- and solutions-oriented. The world—and thus our industry—is changing quickly so the ideal candidate will be comfortable with responding promptly and changing course as needed when priorities and reporting needs shift. This role will be expected to be highly collaborative, and work regularly with multiple stakeholders and cross-functional partners across Regional Teams, Policy, Supply, Finance, Data Science, Operations, Engineering, and Marketing. The right candidate will already be recognized as a leader in the data and analytics field at this level, with a proven track record of using a range of strategies and disciplines to solve complex and ambiguous measurement problems for business teams. This person will also use their considerable experience with data and insights storytelling to influence large-scale strategic programs, and be adept at leveraging AI technologies to accelerate and raise their craft. You must be comfortable working in a global company, delivering counsel and guidance to senior leadership across the team and organization. The successful candidate will have solid experience creating internal advocacy and influencing multiple senior audiences on hard to communicate topics.
Team You Will Join
The Global Markets & Policy Advanced Analytics team is building the data infrastructure, measurement systems, and self-service tools that will power Airbnb's international growth in 2026 and beyond. This is a greenfield opportunity to shape how global teams make nimbler decisions, moving from HQ-dependent reporting cycles to fast, local, data-driven action. This role will partner directly with Global Markets regional teams combined with Finance and Supply to surface local insights, build scalable tooling, and drive measurable impact on core business metrics. The ideal candidate brings deep technical rigor, strong business instincts, and a bias toward proactively building things—not just analyzing them.
A Typical Day
- Build and maintain self-service analytics tools and dashboards that help country teams monitor performance and act on local signals.
- Partner with regional leads to translate business questions into clear analytical frameworks and actionable insights.
- Support measurement for local marketing programs — campaign tracking, incrementality testing, and MMM contributions.
- Analyze international market data to identify and size growth opportunities across supply, demand, and behavioral signals.
- Collaborate with Engineering, Marketing, and Research to deliver on data and tooling needs within shared roadmaps.
- Provide analytical support for local growth levers (incentives, promotions, merchandising) including targeting and measurement.
Your Expertise
- 4+ years in data science, analytics, or business intelligence—marketplace, e-commerce, or global consumer tech preferred.
- Expert SQL; proficiency in Python or R.
- Hands-on experience with A/B testing, causal inference, and incrementality measurement.
- Experience building self-service data products used by non-technical stakeholders.
- Familiarity with international / multi-market analytics contexts.
- Strong data storytelling—able to communicate findings clearly to business and senior audiences.
- Collaborative, low-ego, and execution-oriented; you measure success by the decisions your work influences.
- Comfortable with modern data stack tools (dbt, Airflow, Tableau, Looker, or equivalent).
Nice To Have
- Supply/demand or geo-based analytics experience.
- Growth marketing analytics (SEM, paid social, performance channels).
- Familiarity with MMM, attribution, or campaign measurement frameworks.
- Awareness of AI/LLM trends and implications for organic traffic and demand.
Our Commitment To Inclusion & Belonging
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
How We'll Take Care Of You
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. United Kingdom Annual Pay Range £60,000—£70,000 GBP.
Senior Analyst (Advanced Analytics) employer: Traveltechessentialist
Airbnb is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals in the Advanced Analytics field. With a commitment to inclusion and belonging, employees are encouraged to bring diverse ideas to the table, ensuring a dynamic work environment. The company offers competitive compensation, growth opportunities, and unique benefits such as Employee Travel Credits, all while being at the forefront of transforming the travel and hospitality industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst (Advanced Analytics)
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Show them you’re not just another candidate; you’re genuinely interested in their mission and values.
✨Tip Number 3
Practice your storytelling skills. Be ready to share how your past experiences and skills make you the perfect fit for the role. Make it relatable and engaging!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Analyst (Advanced Analytics)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Analyst role. Highlight your data and analytics experience, and show how your skills align with Airbnb's mission and values. We want to see how you can contribute to our growth strategy!
Showcase Your Data Skills:Don’t just list your technical skills—demonstrate them! Include specific examples of projects where you've used SQL, Python, or R to solve complex problems. We love seeing how you’ve turned data into actionable insights that influenced decisions.
Be Authentic:Let your personality shine through in your application. We’re looking for someone who is curious, engaged, and positive. Share your passion for data storytelling and how it can impact business strategies. We want to know the real you!
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. This way, your application will be seen by the right people, and you’ll be one step closer to joining our amazing team at Airbnb!
How to prepare for a job interview at Traveltechessentialist
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics tools and methodologies mentioned in the job description. Brush up on your SQL skills and be ready to discuss how you've used Python or R in past projects. Being able to talk confidently about your technical expertise will show that you're the right fit for the role.
✨Showcase Your Storytelling Skills
Prepare to share examples of how you've communicated complex data insights to non-technical stakeholders. Think of specific instances where your storytelling influenced business decisions. This will demonstrate your ability to bridge the gap between data and actionable insights, which is crucial for this role.
✨Be Ready for Collaboration
Since this role involves working with various teams, come prepared with examples of successful collaborations. Highlight how you’ve partnered with cross-functional teams in the past and what impact those collaborations had on project outcomes. This will show that you can thrive in a team-oriented environment.
✨Stay Agile and Adaptable
Given the fast-paced nature of the industry, be ready to discuss how you've adapted to changing priorities in previous roles. Share specific examples of when you had to pivot your approach based on new information or shifting business needs. This will illustrate your flexibility and readiness to tackle challenges head-on.