Skip to main content
Airbnb

Staff Analyst, Advanced Analytics, Payments

RemoteUnited States only
Published
Role
Data Science
Experience
Lead
Employment
Full-time
Company size
Enterprise
$180k–$221k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Expert leader for Airbnb's global Payments Advanced Analytics. Will drive strategic vision, streamline data-informed decision-making, and embed quantitative measurement into user journeys and product processes. Requires 10+ years of industry experience in business analytics, a quantitative degree, proven track record in Payments organizations (processing, risk, compliance), expert SQL, and proficiency in Python or R. Strong storytelling and AI tool experience are essential.

Core skills

Payments processingRiskCompliance

Required skills

SQLPythonRAI tools

Optional skills

Machine learning modelsAIExperimentationCausal inferenceSchema designHigh-dimensional data modelingETL framework like Airflow

What you'll do

  • 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.
  • Utilize Airbnb’s sophisticated data infrastructure and machine learning tools to expand our organizational measurement capacity.
  • Immerse yourself in the technical intricacies of our payment processing systems, partnering with a cross-functional team of engineers and product managers.
  • Drive strategic Payments roadmaps and user journey optimizations through data-informed insights and cross-functional collaboration.
  • Empower decision-making through the delivery of business reviews, executive scorecards, and strategic OKR planning.
  • Architect scalable business insight and reporting frameworks designed to achieve organizational objectives.
  • Design and execute rigorous experimentation frameworks, utilizing advanced statistical modeling and causal inference to quantify business impact and drive strategic process refinements.
  • Construct data models to size product offerings and drive clear prioritization.
  • Collaborate with platform teams to maintain a resilient payments infrastructure.
  • Analyze payment processing trends and partner with cross functional stakeholders to apply any changes to the business.
  • Draw upon expertise in intersecting domains to discover patterns and identify systemic opportunities.
  • Monitor the global fintech landscape for emerging trends and regulatory shifts, proactively identifying avenues for innovation within our ecosystem.

What they require

  • 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

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

American online platform for rental accommodations

🇺🇸 United StatesHospitalityEnterpriseairbnb.com/

What people say about this company

4.2/ 5

$180k–$221k/yr