Lead Advanced Analyst, Integrated Marketing

airbnb· 22 open roles

Location TBD On-siteFull-time5 days ago

Salary

$164,000 - $191,000

Experience

Mid

Job Type

Full-time

Posted

5 days ago

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About This RoleAI processing…

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.

Key Responsibilities

1
Own measurement strategy: Design and lead the end-to-end measurement plan for a major loyalty/community pilot, including multi-arm testing across benefits, credits, and offers.
2
Design and analyze experiments: Owning experimentation end to end, write experiment plans and analyze the results.
3
Conducting analysis to deliver actionable insights: Surface findings on customer segments, timing, and creative performance that inform decisions on scaling the program and where to prioritize.
4
Collaborate with cross-functional partners: Partner with marketing, operations, finance, data science, and product to support a data-driven strategy for marketing, share results, and influence decisions through data.
5
Present to leadership: Deliver clear, decision-ready readouts to senior marketing and cross-functional leadership on program and campaign effectiveness.
6
Expand scope over time: As testing needs ease, apply the same experimentation approach to support other growth marketing priorities across additional lines of business.

Requirements

Experience: 6+ years in analytics or data science, with depth in marketing, growth, or lifecycle/loyalty analytics.
Experimentation expertise: Strong background in causal inference and designing experiments and holdouts for multi-touchpoint marketing programs.
Insights & Influence: A track record of insights that directly shape strategy, roadmaps, and budget decisions at a senior level.
Communication: Excellent ability to translate complex analytical trade-offs into clear, confident recommendations for senior, cross-functional stakeholders.
Technical skills: Advanced proficiency in SQL and Python or R, with experience working in large-scale data environments and building scalable reporting tools.
Modern toolkit: Experience using AI tools to accelerate analysis and build scalable solutions.
Adaptability: Comfort operating with ambiguity across a fast-paced, evolving portfolio of initiatives spanning multiple business lines.
Education: Quantitative degree required.