Lead Advanced Analytics, Community Support
Airbnb · Posted Oct 9
Short-term home rentals, boutique hotel bookings, travel experiences, and hosting services
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About the role
The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making across business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership & economics. Its delivery framework covers metrics, dashboards, experimentation, feature impact measurement, ROI sizing, alerting and root cause analysis. This Lead, Advanced Analytics, Community Support role supports strategic business and product initiatives through data analysis, metrics creation, statistical modeling, and reporting tools, while building and scaling AI-first analytics capabilities.
What you will do
- Design and build metrics / dimensions to monitor product and business performance.
- Build sophisticated reporting, analytical tools, and dashboards that empower stakeholders to make data-driven decisions.
- Work cross-functionally with Strategic Finance, Data and Analytical Engineering,and Data Science teams to ensure alignment and leverage synergies.
- Conduct advanced data analysis and statistical modeling to extract actionable insights that inform strategic decisions.
- Contribute towards advancing the Analytics and Data Science disciplines at Airbnb, including driving data best practices such as improving and automating analytical processes, building new data tools and data sets, data education around the company and mentoring and developing others.
- Actively build and scale AI-first analytics capabilities by integrating LLMs, agent-based workflows, and automation into day-to-day analytical processes
- Drive adoption of AI tools across teams by embedding them into business workflows, enabling self-serve analytics and decision support
- Stay at the forefront of applied AI developments and continuously evaluate their relevance for solving business problems
Skills used in this role
What the employer is looking for
- 8+ years in industry experience 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).
- Prior experience in data science, product analytics within the community support/customer support domain.
- Deep expertise in measurement frameworks, metric design, and metric creation.
- Advanced level proficiency in SQL/NoSQL, programming languages such as Python, R, SAS and Intermediate level knowledge of data foundations and databases like Presto, Hive, Teradata, Spark.
- Expert with BI tools like Tableau or superset to develop reports and dashboards.
- Experience leveraging AI to build dashboards, automate repetitive tasks, and empower stakeholders.
- Familiar with experimentation, causal inference, and LLMs
- Robust business acumen, strategic thinking skills, and the ability to make informed judgments.
- Outstanding communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner.
- Exceptional stakeholder management skills, with a proven ability to collaborate and influence across functions.
- An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.
Benefits and support
- bonus or incentives
- one or more equity programs
- Employee Travel Credits
About Airbnb
Airbnb operates a premier global online marketplace that connects travelers with hosts offering unique lodging accommodations, boutique hotels, and curated experiences worldwide. The platform enables millions of people to monetize their spaces and discover authentic local travel experiences across more than 220 countries and regions. By blending community-driven hospitality with innovative AI-powered tools, Airbnb has redefined the modern travel and sharing economy.
- Industry
- Travel
- Company size
- 8000+ employees
- Founded
- 2008
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $3.07B raised
- 2020-04-06Series E$1B
- 2020-04-01Private Equity$1B
- 2015-06-29Series D$1.5B
- 2014-04-16Series C$475M
- 2011-07-24Series B$112M
- 2010-11-01Series A$7.2M
- 2009-01-01Seed$600K
Leadership
Co-Founder and Chief Executive Officer
Co-Founder
Co-Founder and Chief Strategy Officer
Recent coverage
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