Staff Advanced Analyst, Marketing Analytics (contract)
Airbnb · San Francisco, CA
- Hybrid
- Contract
- $128,000 / year
- San Francisco, CA
Job highlights
- Lead marketing analytics for guest lifecycle programs.
- Drive bookings via experimentation and insights.
- Own analytics roadmap and strategy for engagement.
- Utilize advanced SQL, Python/R, and AI tools.
- Collaborate with marketing, data science, and finance.
About the role
About Airbnb
Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in more than 100,000 cities and towns located in 220+ countries and regions across the globe. Every day, Hosts offer unique stays and one-of-a-kind activities that make it possible for guests to experience the world in a more authentic, connected way.
Airbnb was born with a creative spirit, and it’s one of the most defining parts of our culture. We use our curiosity and imagination to come up with unconventional solutions. These are the ideas at the core of Airbnb:
- Our community is based on connection and belonging.
- Our creativity allows us to imagine new possibilities for people.
- Our responsibility is to all of our stakeholders.
It takes a unified team committed to our core values to embody these ideas, and our fast-moving team is committed to leading as a 21st century company.
About the Role
The Guest Engagement AA sits within Marketing Analytics and serves as the analytical backbone for Airbnb's lifecycle marketing programs — the email, push, and in-app communications that reach hundreds of millions of guests across their entire journey. You'll partner closely with Guest Engagement Marketing, MarTech Data Science, and Strategic Finance to drive measurable booking impact through experimentation and insights.
You will be the clear analytics owner of Airbnb's guest lifecycle marketing domain — covering abandon journeys, demand generation, onboarding, upsell, and more. This role is expected to drive significant incremental bookings in 2026 by setting the analytics strategy, designing rigorous experiments, and surfacing proactive insights across 30+ active programs.
A Typical Day
- Own the analytics roadmap for Guest Engagement — define what to measure, what to test, and where the biggest opportunities lie across the full guest lifecycle. Specific projects and prioritization decisions should exist because of your recommendations.
- Design and analyze experiments at scale across abandon journeys, demand gen ML model rollouts, and placement-level A/B tests.
- Develop measurement frameworks (holdouts, proxy metrics, annualized impact models) to accurately attribute cumulative program impact.
- Surface proactive insights that go beyond reporting — user segmentation, funnel analysis, fatigue signals, channel optimization — and translate them into strategic recommendations for Director-level marketing leaders.
- Build scalable, self-serve reporting (dashboards, OKR tracking, experiment trackers) that empowers partners and frees AA capacity for higher-leverage work.
- Collaborate cross-functionally with MarTech DS on ML model feedback loops and attribution, with SF&A on goal methodology, and with India-based analytics resources on operational reporting.
Your Expertise
- Technical proficiency: Advanced SQL and Python/R. Experience working in large-scale data environments.
- AI-forward mindset: Experience leveraging AI tools to automate workflows, accelerate analysis, and build scalable solutions.
- Domain experience in lifecycle marketing (email, push, audience segmentation, incrementality) is a strong plus.
- Quantitative degree required. Advanced degree preferred.
Belonging & Accommodations
Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas fosters innovation and engagement, and allows us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance, or reasonable accommodation during the application and recruiting process, please connect with your talent sourcing partner.
Key skills/competency
- Marketing Analytics
- Guest Engagement
- Lifecycle Marketing
- Experiment Design
- A/B Testing
- SQL
- Python
- R
- Data Analysis
- AI Tools
Skills & topics
- Marketing Analytics
- Staff Analyst
- Guest Engagement
- Lifecycle Marketing
- Experimentation
- A/B Testing
- SQL
- Python
- R
- Data Science
- Contract
- Analytics Roadmap
- Demand Generation
- AI Tools
How to get hired
- Tailor your resume: Highlight advanced SQL, Python/R, and experience with AI tools. Showcase lifecycle marketing and experimentation successes.
- Showcase AI expertise: Detail how you've used AI to automate workflows and accelerate analysis.
- Quantify impact: Use metrics to demonstrate your ability to drive bookings and optimize programs.
- Prepare for technical interviews: Be ready to discuss advanced SQL queries, Python/R coding challenges, and experiment design.
- Understand Airbnb's culture: Research their values of creativity, belonging, and community.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the pay rate for the Staff Advanced Analyst, Marketing Analytics role at Airbnb?
- The pay rate for this contract role at Airbnb is between $110-$128 per hour. This range reflects the seniority and specialized skills required for the Staff Advanced Analyst position.
- What are the primary responsibilities of a Staff Advanced Analyst, Marketing Analytics at Airbnb?
- The primary responsibilities include owning the analytics roadmap for Guest Engagement, designing and analyzing large-scale experiments, developing measurement frameworks, surfacing proactive insights, and building self-serve reporting. You will focus on driving incremental bookings through lifecycle marketing programs.
- What technical skills are essential for this role at Airbnb?
- Essential technical skills include advanced SQL and Python/R. Experience working with large-scale data environments and leveraging AI tools for automation and analysis is also crucial.
- What kind of marketing experience is beneficial for the Staff Advanced Analyst role?
- Domain experience in lifecycle marketing, including email, push notifications, audience segmentation, and incrementality, is a strong plus for this role.
- What is the expected impact of this role on Airbnb's bookings?
- This role is expected to drive significant incremental bookings in 2026 by setting the analytics strategy, designing rigorous experiments, and providing proactive insights across over 30 active programs.
- How does Airbnb approach diversity and inclusion in its hiring process?
- Airbnb is committed to working with a diverse talent pool and believes that a diversity of ideas fosters innovation. They encourage all qualified individuals to apply and provide assistance or reasonable accommodation during the application and recruiting process.
- What is the work arrangement for the Staff Advanced Analyst, Marketing Analytics position?
- While the job description does not explicitly state the work arrangement (on-site, hybrid, remote), contract roles often have flexibility. It's recommended to clarify this with the talent sourcing partner during the application process.
- What is the educational background preferred for this role?
- A quantitative degree is required for this role. An advanced degree is preferred, indicating a strong foundation in analytical and statistical methods.