Greenhouse ·
full-timeLead Advanced Analytics, Community Support
Airbnb · Bengaluru
Airbnb is a global online marketplace that connects travelers with hosts offering unique homes and experiences. The Analytics Centre of Excellence in India provides data‑driven insights for many business functions, from payments to trust and product. As Lead, Advanced Analytics, you will own the design and implementation of metrics that track product and business performance, build sophisticated dashboards and reporting tools, and conduct statistical modelling to guide strategic decisions. The role requires daily collaboration with finance, data engineering and data science teams to align on measurement frameworks, automate analytical workflows, and embed AI‑first capabilities such as LLM‑driven agents into routine analysis. You will also mentor junior analysts, promote best practices, and help scale self‑serve analytics across the organisation. The position suits an experienced quantitative professional with eight or more years in data science or product analytics within a marketplace, strong expertise in SQL, Python or R, BI tools like Tableau, and a track record of applying experimentation and causal inference. Strong business acumen and communication skills are essential.
Education
- Level: 12th / Intermediate
- Courses: B.E
Key Skills
Experience required
8-8 years experienceAirbnb 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, o
Skills for this role
| Role | Lead Advanced Analytics, Community Support |
|---|---|
| Company | Airbnb |
| Location | Bengaluru |
| Compensation | Not disclosed |
| Posted | 2026-09-24 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4About Airbnb
Airbnb is a global platform that facilitates travel and accommodation by connecting guests with hosts. Since its inception in 2007, the company has grown from its first three guests to hosting 1.5 billion arrivals. The platform operates through a network of 5 million hosts who provide lodging options to travelers worldwide. Airbnb maintains a global creative community and emphasizes a flexible work environment for its employees, allowing them to live and work in various locations where regulations permit.
More at Airbnb
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