Senior Analyst, Advanced Analytics

at Airbnb

📍 Gurugram, India
📍 Bengaluru, India

INR 1,960,000-2,800,000 per year

SENIOR

✅ On-site

Tech Stack
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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 @ 6 Agentic Systems @ 4 BI Communication @ 7 Compliance Customer Support Data Science @ 6 Hive @ 4 LLM @ 4 Observability @ 4 Payments Presto @ 4 Python @ 6 RAG @ 4 SQL @ 6 Scoping @ 4 Spark @ 4 Tableau @ 6 Vector Databases @ 4

Details

Airbnb’s Analytics Centre of Excellence (ACOE) in India provides scalable, data-driven analytics supporting functions including payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms, and partnerships and economics.

The Senior Analyst will serve as an AI Vision Multiplier for the Community Support organization. This role combines analytical expertise with AI solution development to make AI-powered analytics accessible, trusted, and actionable. The analyst will build agentic solutions, intelligent interfaces, and self-service capabilities that help business teams and leaders make data-driven decisions.

Responsibilities

Build agentic analytics pipelines that automate insight generation across key metrics, including contact volume, handle time, and resolution quality.
Develop reusable skill libraries and composable agent tools for volume lookups, NPS pulls, handle-time calculations, and similar workflows.
Design and govern prompt templates and playbooks for recurring analytical questions.
Build orchestration workflows that chain skills together to produce automated insight narratives and proactive alerts.
Deploy self-service interfaces that enable non-technical users to query certified data independently.
Ship prompt-driven dashboards and applications for varied Community Support personas.
Automate business reviews using scheduled, agent-generated summaries of key Community Support metrics.
Build and maintain evaluation and observability frameworks to monitor agent output quality, detect drift, and enforce data governance.
Define, document, and certify metrics within Minerva 2.0 and Midas.
Drive the analytics roadmap, prioritization, and delivery of solutions up to a quarter ahead.
Partner with Community Support operational leaders to translate ambiguous business problems into automated or agentic analytical solutions.
Build and iterate on skill libraries and orchestration workflows.
Monitor agent output quality, identifying drift or hallucinations and maintaining governance standards.
Evaluate new applied AI tools and frameworks and embed relevant capabilities into workflows.
Ensure data quality and integrity by blending external and internal data sources and working with global operations and India analytics functions.

Requirements

5+ years of experience in analytics or data science, with a track record of solving ambiguous business problems and delivering measurable impact through AI-enabled solutions.
Experience owning end-to-end data projects, from problem scoping and data extraction through analysis, insight generation, and business recommendations.
Advanced SQL and production-grade Python skills.
Experience with large-scale data systems such as Presto, Hive, and Spark.
Experience rapidly prototyping dashboards, applications, or embedded analytics for non-technical audiences.
Advanced Tableau proficiency for certified, production-grade business intelligence delivery.
Experience defining, documenting, and certifying metrics.
Production LLM and prompt-engineering experience, including LLM-integrated workflows, governed prompt libraries, and retrieval-based systems.
Experience designing agentic systems and orchestration, including tool chaining, context management, and reliable pipelines with minimal human intervention.
Experience with retrieval-augmented generation (RAG), vector databases, and semantic search applied to unstructured contact and case data.
Experience evaluating agent outputs and implementing observability and governance guardrails.
Strong communication skills and the ability to explain complex AI-powered solutions to non-technical stakeholders.
Self-starter mindset and strong ownership in a fast-paced environment.

Compensation

The India annual pay range is ₹1,960,000–₹2,800,000 INR. The role may also be eligible for bonuses or incentives, equity programs, benefits, and Employee Travel Credits.