Lead Advanced Analytics, Community Support

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
3M-4M Annually
Senior level
Real Estate • Travel • PropTech
The Role
Lead advanced analytics initiatives supporting product and business decisions through metric design, statistical modeling, dashboards, reporting tools, experimentation, and actionable insights. Partner cross-functionally with finance, data engineering, and data science teams. Improve analytical processes, mentor team members, and scale AI-first analytics by integrating LLMs, agent workflows, automation, and self-service decision-support tools.
Summary Generated by Built In

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join

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, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales,social, compliance, risk, platforms and partnership & economics.

The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimization of performance, experimentation, measuring pre/post feature impact, sizing the ROI of opportunities, prioritization of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing.

The Difference You Will Make

ACOE is seeking a Lead, Advanced Analytics, Marketplace to help Airbnb enable travel for millions of guests and hosts on our platform. This individual will play a pivotal role in supporting strategic business and product initiatives through detailed data analysis, metrics creation, statistical modeling, and the development of reporting tools and metrics. The individual will be instrumental in driving business and product decisions across topic areas across the company. 

A Typical Day

  • 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

Your Expertise 

  • 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 a marketplace and pricing / monetization products. 
  • 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.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is inclusive of allowances and is subject to change and may be modified in the future. This role may also be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits.  

India Annual Pay Range
₹3,080,000—₹4,400,000 INR

Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.  We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.


Skills Required

  • 8+ years of industry experience
  • Degree in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research
  • Prior experience in data science or product analytics within a marketplace, including pricing or monetization products
  • Deep expertise in measurement frameworks, metric design, and metric creation
  • Advanced proficiency in SQL or NoSQL
  • Advanced proficiency in Python, R, or SAS
  • Intermediate knowledge of Presto, Hive, Teradata, or Spark
  • Expertise with Tableau or Superset for reports and dashboards
  • Experience leveraging AI to build dashboards, automate repetitive tasks, and empower stakeholders
  • Familiarity with experimentation and causal inference
  • Familiarity with large language models
  • Robust business acumen and strategic thinking
  • Outstanding communication and stakeholder management skills
  • Ability to collaborate across functions and influence stakeholders
  • Experience driving projects from ideation to impact using an agile, growth-minded approach
  • Master's or PhD in a quantitative field

Airbnb Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbnb and has not been reviewed or approved by Airbnb.

  • Fair & Transparent Compensation — Pay ranges and total compensation components are increasingly disclosed, and country-level pay practices avoid location-based cuts, which feedback suggests improves consistency and perceived fairness.
  • Healthcare Strength — Comprehensive core health coverage for employees, mental health resources, and substantial dependent support are repeatedly highlighted as robust and a standout element of the package.
  • Leave & Time Off Breadth — Generous PTO, a winter shutdown, sabbaticals, and paid volunteer time are described as extensive, with parental leave and phased return options reinforcing time-off flexibility.

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The Company
HQ: Dublin
14,622 Employees
Year Founded: 2008

What We Do

Airbnb is a community based on connection and belonging—a community that was born in 2008 when two hosts welcomed three guests to their San Francisco home, and has since grown to 4 million hosts who have welcomed over 800 million guest arrivals to about 100,000 cities in almost every country and region across the globe. Hosts on Airbnb are everyday people who share their worlds to provide guests with the feeling of connection and being at home. At Airbnb, we believe that hosts, guests and the communities where we operate are all stakeholders we have a responsibility to serve, and that by serving them alongside our employees and investors, we will build an enduringly successful company.

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