Lead Advanced Analytics, Community Support
Bengaluru, India
- Pay
INR 4,400,000/yearAnnual period assumed — pay source
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.
Read the full posting- Work setting
Hybrid — work setting source
Work setup in the employer’s listing: Hybrid
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingDesign and build metrics and dimensions to monitor product and business performance
Build reporting tools and dashboards that help stakeholders make data-driven decisions
Conduct advanced data analysis and statistical modeling to inform strategic decisions
Work cross-functionally with Strategic Finance, Data Engineering and Data Science teams
Integrate LLMs, agent-based workflows and automation into analytical processes
From the employer’s posting
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.
Conduct advanced data analysis and statistical modeling to extract actionable insights that inform strategic decisions.
Work cross-functionally with Strategic Finance, Data and Analytical Engineering,and Data Science teams
Actively build and scale AI-first analytics capabilities by integrating LLMs, agent-based workflows, and automation into day-to-day analytical processes
Education & alternatives
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.
Tools in this posting
- Python
- R
- SAS
- SQL
- Hive
- NoSQL
- Spark
- Superset
- Tableau
Source — Tool mentions in context
- 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.
- 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.
Posting record
Report an errorOpen 4 monthsWe first saw this listing 4 months ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 23, 2026 · 120 days ago
- Recorded sightings
- 71
- Last seen by us
- Oct 21, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on careers.airbnb.com. The employer’s form will show what is required.
Already applied? Track this application
Job 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, 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
Bengaluru, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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