Lead Advanced Analytics, Community Support
Airbnb
Salary not disclosed
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Description
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.
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.
Benefits
- stock options
About this role
Airbnb's Analytics Centre of Excellence in Bengaluru is looking for a Lead Advanced Analytics professional to drive data-informed decisions across the marketplace. You would own the full lifecycle of analytics work—designing metrics and dimensions, building dashboards and reporting tools in Tableau or Superset, conducting statistical modeling, and translating findings into actionable insights for product and business teams. This role sits at the intersection of strategy, data engineering, and product, requiring you to work across Finance, Data Engineering, and Data Science to align on priorities and surface opportunities.
The position demands deep technical expertise: 8+ years in a quantitative field, strong SQL and Python/R programming, hands-on experience with BI tools, and a track record in product analytics or marketplace/pricing domains. You should be comfortable with experimentation frameworks, causal inference, and increasingly, integrating AI and LLMs into analytical workflows to automate routine tasks and enable self-serve decision-making. Beyond the technical bar, you'll need robust business judgment, the ability to communicate complex analysis to diverse stakeholders, and proven cross-functional influence.
This is an in-office role in Bengaluru with a base pay range of ₹3,080,000–₹4,400,000 annually, plus potential bonus, equity, and travel credits. It suits someone who thrives on building scalable analytics capabilities, mentoring others, and shaping how a global platform uses data to make decisions.
How this employer is doing
average
- H1B: Active Visa Sponsor
- Active Visa Sponsor
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