Lead Analyst, Advanced Analytics

Airbnb Airbnb · Consumer · United States · Analytics

Lead Analyst for Advanced Analytics at Airbnb, focusing on Payments Insights. This role involves leveraging AI/ML models, experimentation, and advanced data analytics to drive data-driven decision-making within the Payments domain. The position requires strong analytical, statistical modeling, and causal inference skills, with a focus on translating technical findings into business influence. Experience in financial risk management, fraud prevention, and compliance is also crucial.

What you'd actually do

  1. You are passionate about solving complex problems within the Payments domain using data, insights, AI/ML models, and experimentation; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis
  2. You are highly proficient in building and analyzing analytical frameworks, statistical models and experimentation methods to establish and communicate causal relationships and drive measurable impact.
  3. You are a storyteller and technician that translates deeply technical analyses, and experimental results into compelling narratives that drive strategic business influence
  4. Ability to create impact for key projects at the eTeam direct level by iInfluencing strategy and roadmap through data-backed storytelling and actionable recommendations.

Skills

Required

  • SQL
  • Python or R
  • non-experimental causal inference methods
  • experimentation
  • machine learning techniques
  • schema design
  • high-dimensional data modeling
  • ETL framework like Airflow
  • communication skills
  • storytelling skills

Nice to have

  • Masters or PhD in a quantitative field
  • multi-sided platform setting

What the JD emphasized

  • Payments domain
  • AI/ML models
  • experimentation
  • statistical models
  • causal relationships
  • Payments
  • payments data
  • payments strategies
  • payments journey
  • payment risk domains
  • payments landscape
  • payments processing
  • payments infrastructure
  • Payments teams
  • payments organizations
  • payment risk domains
  • payments
  • payments

Other signals

  • AI/ML models
  • experimentation
  • advanced data analytics
  • machine learning techniques