Senior Analyst (Advanced Analytics) in London

Senior Analyst (Advanced Analytics) in London

London Full-Time 60000 - 70000 € / year (est.) Home office (partial)
Traveltechessentialist

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.
  • Benefits: Competitive salary, bonuses, equity, and employee travel credits.
  • Other info: Collaborative team environment with opportunities for innovation and growth.
  • Why this job: Make a real impact on global decision-making with data-driven insights.
  • Qualifications: 4+ years in analytics, expert 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) in London 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, driving meaningful impact on global growth strategies. The company offers competitive compensation, opportunities for professional development, and unique benefits such as Employee Travel Credits, all within a dynamic and supportive work environment in the heart of the United Kingdom.

Traveltechessentialist

Contact Detail:

Traveltechessentialist Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Analyst (Advanced Analytics) in London

Tip Number 1

Network like a pro! Reach out to current or former Airbnb employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Prepare for the interview by diving deep into Airbnb's mission and values. Show us how your skills align with our goals, especially in advanced analytics. We love candidates who are genuinely passionate about what we do!

Tip Number 3

Practice your data storytelling! Be ready to explain complex analytics in simple terms. We want to see how you can influence decisions with your insights, so think of examples where you've done this before.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re serious about joining the Airbnb family.

We think you need these skills to ace Senior Analyst (Advanced Analytics) in London

Data Science
Analytics
Business Intelligence
SQL
Python
R
A/B Testing

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:Since this role is all about data, don’t hold back on showcasing your SQL, Python, or R skills. Include specific examples of projects where you've built self-service tools or dashboards. We love seeing how you’ve used data to drive decisions!

Be Authentic:Let your personality shine through in your application. We’re looking for someone who’s curious, engaged, and positive. Share your passion for data storytelling and how you’ve influenced decisions in previous roles. We want to know the real you!

Apply Through Our Website:Don’t forget to apply through our official website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining the Airbnb team. We can’t wait to hear from you!

How to prepare for a job interview at Traveltechessentialist

Know Your Data Inside Out

As a Senior Analyst, you'll be expected to have a strong grasp of data and analytics. Brush up on your SQL skills and be ready to discuss your experience with A/B testing and causal inference. Prepare examples of how you've used data to drive business decisions in the past.

Showcase Your Storytelling Skills

Data storytelling is crucial for this role. Think about how you can communicate complex findings clearly to non-technical stakeholders. Practice explaining your previous projects in a way that highlights the impact of your insights on business strategies.

Be Ready for Collaboration

This position requires working closely with various teams. Prepare to discuss how you've successfully collaborated with cross-functional partners in the past. Highlight any experiences where you influenced decisions through teamwork and shared insights.

Stay Agile and Adaptable

The world of data is ever-changing, and so are business priorities. Be prepared to talk about times when you've had to pivot quickly in response to new information or shifting goals. Show that you're comfortable with change and can thrive in a dynamic environment.