Lead, Advanced Analytics, Community Support

Airbnb

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$164,000–$191,000 / yr
Posted
28 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $191k
This role $178k
$134k most similar roles pay here $248k

This role pays less than 61% of similar roles. Most pay $145,187–$236,625 — the shaded band above. At the midpoint, this role pays about $178k versus about $191k 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 65 open roles on FindRole.

Listed pay typically runs $200,000–$240,000 across 51 roles with salary data.

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At a glance

TL;DR · Lead, Advanced Analytics, Community Support

Lead, Advanced Analytics, Community Support joins the Advanced Analytics family to support Product and Business leaders within the Community Support organization. This role serves as a data thought partner, identifying pain points in customer support operations and building scalable data tools to improve experiences for guests, hosts, and agents. You will develop business insights and reporting platforms, perform data modeling of various entities, and define key metrics in unstructured problem spaces. The role requires expertise in SQL, Python or R, schema design, and high-dimensional data modeling using ETL frameworks like Airflow. Candidates must apply advanced statistical models, experimentation methods, and causal inference techniques to solve complex problems within the community support domain. You will leverage machine learning infrastructure to drive data-driven roadmaps and influence decisions across business verticals through technical analysis and storytelling.

What you'll do

  • Provide data-driven insights and recommendations to product and business leaders to inform decision-making.
  • Develop scalable data tools and build reporting platforms to track the efficacy of customer support processes.
  • Identify operational pain points in customer support and collaborate with product teams to improve user experiences.
  • Build and analyze statistical models, experimentation frameworks, and causal inference methods to establish clear relationships.
  • Define and evaluate key metrics for new product launches within unstructured problem spaces.
  • Perform data modeling of various entities to optimize community and agent experiences.
  • Create compelling narratives from complex data to influence stakeholders across different technical levels.
  • Manage data-driven roadmaps for customer service working groups using SQL, Python, or R.

What we're looking for

  • Minimum of 8 years of industry experience in business analytics.
  • Degree in a quantitative field (Masters or PhD preferred).
  • Experience supporting customer service and/or working closely with operations teams.
  • Expert skills in SQL and at least one programming language for data analysis such as Python or R.
  • Experience with non-experimental causal inference methods, experimentation, and machine learning techniques.
  • Working knowledge of schema design and high-dimensional data modeling using ETL frameworks like Airflow.
  • Ability to communicate complex data insights and narratives to stakeholders across various technical levels.
  • Ability to work independently in ambiguous environments and influence data-driven decisions.

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