Strategic Overview
Lead Advanced Analytics, Community Support at Airbnb is a data opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as 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.
The role is listed for Bengaluru, India with hybrid working arrangement, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
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,…
Key Responsibilities & Objectives
- 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.
- 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
Required Qualifications & Candidate Blueprint
- 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.
Salary & Benefits
Published compensation: ₹3,080,000 – ₹4,400,000 INR
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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, Community Support 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 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.
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.
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This data opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Design and build metrics / dimensions to monitor product and business performance. — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.