# Staff Advanced Analyst, Guest Engagement

**Company:** [Airbnb](https://hotfix.jobs/companies/airbnb)
**Location:** Remote
**Role:** Data Analytics
**Salary:** $180k – $221k/yr
**Experience:** 9+ years
**Skills:** A/B Testing, Marketing Analytics, Experimentation, Data Analysis, Measurement Frameworks, User Segmentation, Funnel Analysis, Dashboarding, Ml Model Attribution, Growth Analytics
**Posted:** 2026-05-15

> Owns analytics for Airbnb's guest lifecycle marketing programs. Sets strategy, designs large-scale experiments, and drives incremental bookings through insights and measurement.

## Job Description

## Responsibilities
- 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.
- 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 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).
- 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.

## Requirements
- 9+ years in analytics or data science, with depth in marketing and/or growth analytics.
- Experience driving action through insights that shape team roadmaps and prioritization at the Director level.
- Strong experimentation skills: designing and interpreting A/B tests and measurement frameworks for multi-channel marketing programs.
- Excellent communication skills: distill complex findings into clear, compelling recommendations for senior stakeholders.

## Nice-to-Haves
- Experience with ML model feedback loops and attribution.

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