Staff Analyst, Advanced Analytics, Payments

Airbnb

Staff Analyst driving data-informed decision-making for Airbnb's global Payments operations. Collaborating with engineering and finance teams while optimizing the payments data landscape.

Posted 6/22/2026full-timeRemote • 🇺🇸 United StatesLead💰 $180,000 - $221,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowETLPythonSQL

About the role

Key responsibilities & impact

Act as a vital data thought partner to leadership, delivering actionable insights and recommendations that empower integrated, data-informed decision-making across the organization.
Champion day-to-day analytics while architecting scalable reporting platforms to enhance the efficacy of our payments ecosystem.
Pinpoint frictions in the user journey to optimize experiences for our global Guest, Host, and agent communities through rigorous problem-solving.
Solve complex domain challenges using advanced quantitative measurement, machine learning models, AI, and experimentation to provide fresh perspectives on existing solutions.
Develop sophisticated analytical frameworks and statistical models to establish causal inference and drive measurable business impact.
Bridge the gap between technical complexity and strategic influence by translating experimental results into compelling narratives for executive stakeholders.
Influence the eTeam-level roadmap by defining key metrics in unstructured spaces and providing data-backed strategy recommendations.

Requirements

What you’ll need

A minimum of 10+ years of industry experience in business analytics and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
Possess a proven track record of working in Payments organizations, demonstrating deep technical proficiency across payments domain areas, such as payment processing, risk, and compliance.
Expert skills in SQL and expert in at least one programming language for data analysis (Python or R).
Strong storytelling skills. Able to drive
Experience in using AI tools to scale workflows, and identify new areas of opportunity.
Experience with non-experimental causal inference methods, experimentation, and machine learning techniques, ideally in a multi-sided platform setting.
Working knowledge of schema design and high-dimensional data modeling (ETL framework like Airflow).

Benefits

Comp & perks

This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

business analyticsquantitative measurementmachine learningstatistical modelscausal inferenceSQLPythonRdata analysisschema design

Soft Skills

storytellingproblem-solvingstrategic influencecommunication

Certifications

MastersPhD