Lead Advanced Analytics, Community Support

at Airbnb

📍 Bengaluru, India

INR 3,080,000-4,400,000 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 Agile @ 6 BI Communication @ 7 Compliance Customer Support Data Analysis Data Science @ 4 Experimentation @ 3 Hive @ 4 LLM Mathematics @ 6 Mentoring NoSQL @ 6 Payments Presto @ 4 Python @ 6 R @ 6 SQL @ 6 Spark @ 4 Statistics @ 6 Tableau @ 6

Details

The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, provides scalable, data-driven insights to support business decision-making across functions including payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms, and partnerships and economics.

The Lead Advanced Analytics role will support strategic business and product initiatives through detailed data analysis, metric creation, statistical modeling, and reporting tools. The role will help drive business and product decisions across Airbnb.

Responsibilities

Design and build metrics and dimensions to monitor product and business performance.
Build sophisticated reporting, analytical tools, and dashboards that support data-driven decisions.
Collaborate cross-functionally with Strategic Finance, Data and Analytical Engineering, and Data Science teams.
Conduct advanced data analysis and statistical modeling to generate actionable insights.
Advance Analytics and Data Science practices, including improving and automating analytical processes, building data tools and datasets, providing data education, and mentoring others.
Build and scale AI-first analytics capabilities by integrating LLMs, agent-based workflows, and automation into analytical processes.
Drive adoption of AI tools across teams by embedding them into business workflows and enabling self-service analytics and decision support.
Evaluate applied AI developments and their relevance to business problems.

Requirements

8+ years of industry experience.
A degree in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research; a master's degree or PhD is a plus.
Experience in data science and product analytics within marketplace and pricing or monetization products.
Deep expertise in measurement frameworks, metric design, and metric creation.
Advanced proficiency in SQL or NoSQL and programming languages such as Python, R, or SAS.
Intermediate knowledge of data foundations and databases including Presto, Hive, Teradata, and Spark.
Expert proficiency with business intelligence tools such as Tableau or Superset for developing reports and dashboards.
Experience using AI to build dashboards, automate repetitive tasks, and empower stakeholders.
Familiarity with experimentation, causal inference, and LLMs.
Strong business acumen, strategic thinking, communication, and stakeholder management skills.
Ability to collaborate with and influence stakeholders across functions.
An agile, growth-minded approach and a history of driving projects from ideation to impact.

Compensation

The annual India base pay range is ₹3,080,000–₹4,400,000 INR. The range is inclusive of allowances and may be supplemented by bonuses or incentives, equity programs, benefits, and Employee Travel Credits.