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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.
Description
Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 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 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, 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 Community You Will Join:
We are looking for a Senior Analyst to serve as an AI Vision Multiplier for the CS organisation — a builder-analyst with a clear mandate to translate Airbnb’s internal AI capabilities into working solutions that make AI-powered analytics accessible, trusted, and actionable across CS. The analyst must have functional expertise in building analytical solutions and be a trusted partner to business teams and leaders, through providing insights, recommendations, and enabling data driven decisions. This role will sit under the Advanced Analytics family and support Business leaders within our Community Support organization. You will partner directly with functions and operational leaders across Community Support. This role will be responsible for making CS smarter and faster, and enable self-serve through data. You will be the team’s dedicated AI practitioner, building agentic solutions and intelligent interfaces that elevate the entire organisation toward self-serve.
The Difference You Will Make:
- Build agentic analytics pipelines that automate insight generation across all key metrics including contact volume, handle time, and resolution quality — reducing analytical drag across CS.
- Develop reusable skill libraries — composable agent tools (volume lookups, NPS pulls, handle time calculations) callable across workflows and teams.
- Design and govern prompt templates and playbooks — standardised, governed prompts for recurring analytical questions (e.g. “what drove contact volume this week”).
- Build orchestration workflows — multi-step pipelines that chain skills together to produce automated insight narratives and proactive alerts without manual intervention.
- Deploy self-serve interfaces that enable non-technical personas to query certified data independently.
- Ship rapid, prompt-driven dashboards that compress the cycle from business question to live view, serving varied personas without analyst bottleneck.
- Automate business reviews — scheduled, agent-generated summaries of key CS metrics delivered to stakeholders without manual effort.
- Build and maintain evaluation and observability frameworks that monitor agent output quality, detect drift, and ensure outputs stay within governed data boundaries.
- Define, document, and certify metrics within Minerva 2.0 and Midas, ensuring agentic outputs and self-serve interfaces are anchored to a single source of truth across CS.
A Typical Day:
- Drive the analytics roadmap, prioritization, and delivery of solutions in up to a quarter ahead. Execute projects with regular direction providing constant updates to business stakeholders, analytics management and deliver against agreed timelines.
- Partner with CS operational leaders to translate ambiguous business problems into agentic or automated analytical solutions — independently scoping, building, and iterating end to end.
- Prototype and ship prompt-driven dashboards and apps, compressing the cycle from question to live view for varied CS personas.
- Build and iterate on skill libraries and orchestration workflows, expanding the reusable agent toolkit available to the CS Analytics team.
- Monitor agent output quality via observability frameworks, identifying drift or hallucinations and maintaining governance standards.
- Engage directly with key stakeholders to prioritise the self-serve and automation needs, setting and delivering against a quarterly roadmap.
- Stay at the forefront of applied AI developments, evaluating new tools and frameworks for relevance to CS use cases and embedding them rapidly into workflows.
- Ensure the availability of data quality and integrity for analysis and reporting by blending external and internal data sources, working closely with global operations and India analytics functions.
Your Expertise:
- 5+ years of experience in analytics/data science with a strong track record of solving ambiguous business problems and driving measurable impact, shipping AI-enabled solutions, not just analyses.
- Proven ability to own end-to-end data projects — from problem scoping and data extraction to analysis, insight generation (including BI tools), and business recommendations
- Advanced SQL and Python at production-grade standard, with experience on large-scale data systems (Presto, Hive, Spark).
- Rapid front-end prototyping — vibe-coded dashboards, apps, or embedded analytics built at speed for non-technical audiences.
- Advanced Tableau proficiency for certified, production-grade BI delivery.
- Metrics governance and certification — ability to define, document, and certify metrics, ensuring agentic outputs are anchored to a single source of truth.
- Production LLM and prompt engineering experience — shipped LLM-integrated workflows, governed prompt libraries, and retrieval-based systems.
- Agentic system and orchestration design — tool chaining, context management, and building reliable pipelines with minimal human-in-the-loop intervention.
- RAG, vector databases, and semantic search — applied to unstructured contact and case data.
- Agent output evaluation and observability — experience monitoring AI pipeline quality and maintaining governance guardrails.
- Strong communication skills with the ability to translate complex AI-powered solutions into clear narratives for non-technical business stakeholders.
- Self-starter mindset with high ownership, comfortable operating with quarterly autonomy in a fast-paced environment.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
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.
Skills Required
- 5+ years of experience in analytics or data science
- Track record of solving ambiguous business problems and delivering measurable impact with AI-enabled solutions
- Ability to own end-to-end data projects, including scoping, extraction, analysis, insight generation, and recommendations
- Advanced SQL and Python skills at production-grade standards
- Experience with large-scale data systems such as Presto, Hive, or Spark
- Experience rapidly prototyping dashboards, apps, or embedded analytics for non-technical audiences
- Advanced Tableau proficiency for production-grade BI delivery
- Experience defining, documenting, and certifying metrics
- Production LLM and prompt engineering experience, including LLM-integrated workflows and governed prompt libraries
- Experience designing agentic systems and orchestration workflows with tool chaining and context management
- Experience applying RAG, vector databases, and semantic search to unstructured data
- Experience evaluating and monitoring agent output quality and maintaining AI governance guardrails
- Strong communication skills for explaining complex AI solutions to non-technical stakeholders
- Self-starter mindset, high ownership, and ability to operate autonomously in a fast-paced environment
Airbnb Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbnb and has not been reviewed or approved by Airbnb.
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Fair & Transparent Compensation — Pay ranges and total compensation components are increasingly disclosed, and country-level pay practices avoid location-based cuts, which feedback suggests improves consistency and perceived fairness.
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Healthcare Strength — Comprehensive core health coverage for employees, mental health resources, and substantial dependent support are repeatedly highlighted as robust and a standout element of the package.
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Leave & Time Off Breadth — Generous PTO, a winter shutdown, sabbaticals, and paid volunteer time are described as extensive, with parental leave and phased return options reinforcing time-off flexibility.
Airbnb Insights
What We Do
Airbnb is a community based on connection and belonging—a community that was born in 2008 when two hosts welcomed three guests to their San Francisco home, and has since grown to 4 million hosts who have welcomed over 800 million guest arrivals to about 100,000 cities in almost every country and region across the globe. Hosts on Airbnb are everyday people who share their worlds to provide guests with the feeling of connection and being at home. At Airbnb, we believe that hosts, guests and the communities where we operate are all stakeholders we have a responsibility to serve, and that by serving them alongside our employees and investors, we will build an enduringly successful company.
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