Staff Advanced Analytics, Community Blueprint & Quality

Airbnb

Confirmed live 3 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$180,000–$221,000 / yr
Posted
48 days ago
Freshness
Confirmed live 3 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $192k
This role $200k
$140k $244k
below market most similar roles pay here above market

This role pays more than 54% of similar roles. Most pay $151,236–$233,287 — the blue band above. At the midpoint, this role pays about $200k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

About Airbnb

Founded in 2008 and formerly known as AirBed & Breakfast, Inc., Airbnb is a global marketplace connecting travelers with hosts who offer unique accommodations, ranging from private rooms to entire homes. It operates a massive digital platform for booking stays, experiences, and travel services worldwide.

Airbnb currently has 50 open roles on FindRole.

Listed pay typically runs $200,000–$242,500 across 48 roles with salary data.

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View all roles at Airbnb

At a glance

TL;DR · Staff Advanced Analytics, Community Blueprint & Quality

The Staff Advanced Analytics, Community Blueprint & Quality role joins the Quality & Blueprint team to improve the customer experience. As a senior analytics leader, you will conduct strategic deep dives into experience drivers like cleanliness and communication to diagnose root causes and recommend interventions. You will design and analyze A/B tests and quasi-experiments while building causal inference frameworks such as diff-in-diff, synthetic controls, and propensity matching. The role involves leveraging LLMs and AI-assisted analytics for structured extraction from unstructured data and building metrics to monitor experience health. You must possess 10+ years of experience using SQL and Python or R. This position solves complex problems regarding guest and host experience quality within a marketplace and product analytics context.

What you'll do

  • Conduct strategic deep dives into customer experience drivers to identify root causes and recommend interventions.
  • Design, execute, and analyze A/B tests and quasi-experiments to measure the impact of quality initiatives.
  • Build and apply causal inference frameworks like diff-in-diff and synthetic controls to estimate the impact of changes.
  • Leverage LLMs and AI-assisted analytics to extract structured insights from unstructured data across millions of trips.
  • Develop and validate metrics to monitor customer experience health and surface emerging quality issues.
  • Build and maintain analytical artifacts like queries and dashboards to enable stakeholder self-service.
  • Translate complex analyses into clear, concise insights and recommendations for senior leadership.

What we're looking for

  • 10+ years of experience in advanced analytics, data science, or applied quantitative analysis.
  • Strong hands-on expertise in SQL and at least one programming language such as Python or R.
  • Proven experience designing and analyzing A/B experiments and applying statistical methods to real-world product problems.
  • Experience with causal inference techniques like diff-in-diff, synthetic controls, and propensity scoring.
  • Hands-on experience with AI-assisted analytics workflows including prompt engineering and structured extraction from unstructured text.
  • Experience building metrics end-to-end, including definitions, validation, and implementation in data pipelines.
  • Excellent communication skills with experience presenting to senior, non-technical audiences.
  • Experience in marketplace, product analytics, customer experience, or trust & safety contexts (preferred).

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