Lead Advanced Analyst, Integrated Marketing

Airbnb·United Stateslead

En corto

→Líder analítico para programas de lealtad y comunidad internacionales en Airbnb.
→Diseñas experimentos de causalidad y analizas resultados para decidir qué escalar o ajustar.
→Destaca por liderar el análisis de un piloto global de lealtad con impacto directo en decisiones estratégicas.

No se requiere inglés.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

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¿Qué piden?

✓6+ años en analítica o ciencia de datos con enfoque en marketing o lealtad.
✓Experto en inferencia causal y diseño de experimentos multi-touchpoint.
✓Capacidad demostrada de influir en decisiones estratégicas a nivel ejecutivo.
✓Excelente comunicación para traducir análisis complejos a recomendaciones claras.
✓Dominio avanzado de SQL y Python o R en entornos de datos a gran escala.
✓Experiencia con herramientas de IA para acelerar el análisis.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

SQLPythonRAI toolslarge-scale data environmentsexperimentation frameworkmulti-arm testingholdoutscross-channel marketinggrowth analytics

¿A quién escribirle en Airbnb?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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. The Community You Will Join 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'll partner closely with Marketing, Creative, Data Science, and Finance to prove incrementality and optimize investment across a fast-moving, test-and-learn portfolio. The Difference You Will Make You will be the dedicated analytics lead for cross-channel marketing strategies for new business lines (eg loyalty or Experiences & Services). You’ll start by owning all of the marketing work for Airbnb's new community and loyalty pilot program, as it scales through multiple phases of testing across international markets. You'll design the experiments that separate true program impact from individual campaign-level lift, and turn results into clear recommendations on what to scale, iterate, or stop. As the loyalty program testing cadence eases, you'll flex your capacity to support other Integrated Marketing priorities, bringing the same rigor to initiatives across Experiences, Hotels, and Luxe. A Typical Day • 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. • Design and analyze experiments: Owning experimentation end to end, write experiment plans and analyze the results. • 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. • 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. • Present to leadership: Deliver clear, decision-ready readouts to senior marketing and cross-functional leadership on program and campaign effectiveness. • Expand scope over time: As testing needs ease, apply the same experimentation approach to support other growth marketing priorities across additional lines of business. Your Expertise • 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

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