Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Data Science @ 6
Experimentation
Marketing @ 4
Python @ 6
R @ 6
Reporting @ 4
SQL @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The Integrated Marketing Analyst sits within Marketing Analytics and serves as the measurement engine for Airbnb's cross-channel growth initiatives, spanning Search, Growth Media, Affiliates, and Guest Engagement across Homes, Experiences, Services, and Hotels, as well as emerging pilots. You will partner closely with Marketing, Creative, Data Science, and Finance to prove incrementality and optimize investment across a fast-moving, test-and-learn portfolio.
You will be the dedicated analytics lead for cross-channel marketing strategies for new business lines, such as loyalty or Experiences & Services. You will own the marketing analytics work for Airbnb's new community and loyalty pilot program as it scales through multiple phases of testing across international markets. You will design experiments that separate true program impact from individual campaign-level lift and turn results into recommendations on what to scale, iterate, or stop. As the loyalty program testing cadence eases, you will support other Integrated Marketing priorities across Experiences, Hotels, and Luxe.
Responsibilities
- Own the end-to-end measurement strategy for a major loyalty and community pilot, including multi-arm testing across benefits, credits, and offers.
- Design and analyze experiments, including writing experiment plans and analyzing results.
- Conduct analysis to deliver actionable insights on customer segments, timing, and creative performance.
- Partner with marketing, operations, finance, data science, and product teams to support data-driven marketing strategy, share results, and influence decisions.
- Present clear, decision-ready readouts on program and campaign effectiveness to senior marketing and cross-functional leadership.
- Apply experimentation methods to additional growth marketing priorities across multiple lines of business as testing needs evolve.
Requirements
- 6+ years of experience in analytics or data science, with depth in marketing, growth, or lifecycle and loyalty analytics.
- Strong background in causal inference and designing experiments and holdouts for multi-touchpoint marketing programs.
- Track record of producing insights that shape strategy, roadmaps, and budget decisions at a senior level.
- Excellent ability to translate complex analytical trade-offs into clear recommendations for senior, cross-functional stakeholders.
- Advanced proficiency in SQL and Python or R.
- Experience working in large-scale data environments and building scalable reporting tools.
- Experience using AI tools to accelerate analysis and build scalable solutions.
- Comfort operating with ambiguity across a fast-paced, evolving portfolio spanning multiple business lines.
- Quantitative degree required.
Location
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with the manager. Candidates must live in a state where Airbnb, Inc. has a registered entity.
Compensation
The base pay range is $164,000–$191,000 USD. The role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Inclusion and Accommodations
Airbnb is committed to inclusion and belonging and provides reasonable accommodations throughout the recruitment process for applicants with disabilities.