Lead Advanced Analytics Payments

Airbnb

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$164,000–$191,000 / yr
Posted
101 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $203k
This role $178k
$155k most similar roles pay here $251k

This role pays less than 65% of similar roles. Most pay $164,262–$241,750 — the shaded band above. At the midpoint, this role pays about $178k versus about $203k 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 Payments

Lead, Advanced Analytics, Payments joins the team to execute strategic direction for payments operations by streamlining data-driven decision making across platform, product, and operations organizations. The role involves building analytical frameworks, statistical models, and experimentation methods to identify causal relationships and optimize the end-to-end payment journey. Day-to-day responsibilities include generating performance reports, triaging issues, designing experiments for product changes, and collaborating on financial risk management including chargebacks and fraud prevention. The candidate will utilize SQL, Python or R, and machine learning techniques to inform strategy while managing high-dimensional data modeling via ETL frameworks like Airflow. This role addresses complex problems in the payments domain by balancing financial risk with user experience across multi-sided platforms. The position requires translating technical findings into compelling narratives for senior leadership to drive measurable impact on payment processing systems.

What you'll do

  • Analyze payment data to generate reports and evaluate performance metrics for the payments platform.
  • Design and execute experiments to measure the impact of product changes and process improvements.
  • Translate complex technical analyses and experimental results into actionable narratives for senior leadership.
  • Identify friction points in the end-to-end payment journey to optimize user experience and operational efficiency.
  • Develop new payment strategies using advanced analytics and machine learning to balance financial risk with user experience.
  • Manage financial risk components including chargebacks, fraud prevention, and regulatory compliance monitoring.
  • Oversee daily operations for collection, reconciliation, and settlement in partnership with the finance team.
  • Monitor industry trends and emerging technologies to identify opportunities for innovation in payment infrastructure.

What we're looking for

  • 8+ years of industry experience in business analytics.
  • Degree in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research.
  • Experience supporting payments teams and exposure to risk domains like trust & safety, fraud prevention, and regulatory compliance.
  • Expert skills in SQL and at least one programming language for data analysis (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.
  • Exceptional communication and storytelling skills to translate technical findings into actionable insights for senior leadership.
  • Ability to work independently in ambiguous environments and identify issues outside of immediate scope.

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