Lead, Advanced Analytics, Community Support

Airbnb
United States
Workplace: RemoteFull timeUSD 164,000 - 191,000Function: Data Analytics & Business IntelligenceExperience: 8+ yearsEducation: mastersSkills: ["Data storytelling","Problem-solving","Communication","Influence","Working in ambiguity"]

Partner with product and business leaders in the CS organization to deliver advanced analytics, insights, and recommendations for Airbnb’s guest, host, and agent community. Drive day-to-day analytics and scalable data tools, build reporting to measure effectiveness and efficiency across the contact center network, and develop experimentation and measurement strategies. Apply causal inference, statistical modeling, and experimentation methods to define metrics, improve inference, and influence data-driven decisions across business verticals.

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FursaFursa
Airbnb
Airbnb
1 day ago

Lead, Advanced Analytics, Community Support

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live
Reposted: similar role first listed 1 year ago

Job Summary

Partner with product and business leaders in the CS organization to deliver advanced analytics, insights, and recommendations for Airbnb’s guest, host, and agent community. Drive day-to-day analytics and scalable data tools, build reporting to measure effectiveness and efficiency across the contact center network, and develop experimentation and measurement strategies. Apply causal inference, statistical modeling, and experimentation methods to define metrics, improve inference, and influence data-driven decisions across business verticals.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Serve as a data thought partner to product and business leaders by providing insights, recommendations, and enabling data-informed decisions.
  • •Drive day-to-day analytics and create scalable data tools for the CS organization.
  • •Identify pain points in customer support operations and work with product leadership to improve experiences for guests, hosts, and agents.
  • •Build the business insights and reporting platform to detect and support the efficacy and efficiency of behaviors and product interfaces across the CS platform and contact center network.
  • •Define and evaluate key metrics, influence experimentation and measurement strategies, and use statistical models and causal inference to improve inference.
Travel: Low travel

Pay and Benefits

Salary: USD 164,000 - 191,000
Equity and Bonus:Equity

Key Requirements

  • •Minimum 8+ years of industry experience in business analytics, with a degree in a quantitative field (Masters or PhD is a plus).
  • •Experience supporting customer service/customer support and/or working closely with operations teams.
  • •Expert skills in SQL and proficiency in at least one programming language for data analysis (Python or R).
  • •Strong knowledge of experimental methods, non-experimental causal inference, experimentation, and machine learning techniques (ideally in multi-sided platforms).
  • •Working knowledge of schema design and high-dimensional data modeling (ETL framework like Airflow).
Experience:8+ years
Education:Master's in quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
Skills:Data storytellingProblem-solvingCommunicationInfluenceWorking in ambiguity
Languages:English
Tech Stack:SQLPythonRMachine learningExperimentationCausal inferenceAirflowETL

Company Brief

Airbnb
Online marketplace that connects travelers with hosts offering short-term lodging, experiences, and long-term stays. Facilitates booking, payments, and reviews while providing tools for hosts to manage listings globally.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2008
WebsiteLinkedIn