Airbnb
About this role
Airbnb's Analytics Centre of Excellence in India supports business functions across payments, trust, customer support, hosting, risk and partnerships. This role sits in Advanced Analytics supporting Community Support leaders, and the posting describes it in unusually current terms: an AI vision multiplier and a builder analyst, whose mandate is turning Airbnb's internal AI capabilities into working solutions the wider organisation can use. The work is genuinely agentic rather than dashboard building: you would build agentic analytics pipelines that automate insight generation across contact volume, handle time and resolution quality, develop reusable skill libraries of composable agent tools, design and govern prompt templates for recurring analytical questions, and build orchestration workflows that chain those skills into automated insight narratives and proactive alerts. You would also ship self serve interfaces so non technical people can query certified data without an analyst in the loop.
Who this is for
What the posting requires:
- 5+ years of experience in analytics or data science, with a strong track record of solving ambiguous business problems.
- Functional expertise building analytical solutions, and the ability to be a trusted partner to business teams and leaders through insights and recommendations.
What the work actually looks like:
- Build agentic analytics pipelines that automate insight generation across key metrics including contact volume, handle time and resolution quality.
- Develop reusable skill libraries: composable agent tools such as volume lookups, NPS pulls and handle time calculations, callable across workflows and teams.
- Design and govern prompt templates and playbooks: standardised, governed prompts for recurring analytical questions, for example 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 let non technical people query certified data independently.
- Ship rapid, prompt driven dashboards that compress the cycle from business question to live view.
- Automate business reviews with scheduled, agent generated summaries of key metrics.
- Build and maintain evaluation and observability frameworks for those systems.
Who you would work with: business and operational leaders across Airbnb's Community Support organisation, sitting under the Advanced Analytics family within the Analytics Centre of Excellence.
What the team does more broadly: the ACOE delivers metrics, dashboards, performance optimisation, pre and post feature impact measurement, opportunity sizing, anomaly driven alerting, root cause analysis of metric deviation and exploratory hypothesis testing.
Location and working pattern: Gurugram, India. This is the Gurugram based role, not a remote one.
Honest fit guidance: read the AI framing as real rather than decorative. The responsibilities are almost entirely about building agentic tooling and self serve interfaces, not producing analyses by hand. If your analytics experience is SQL and dashboards with no agent or LLM tooling, that is the honest gap. If you have been building with agents and want an analytics seat where that is the job rather than a side project, this is a strong match at 5 years.
- 5+ years of experience in analytics or data science, with a strong track record of solving ambiguous business problems.
- Functional expertise building analytical solutions, and the ability to be a trusted partner to business teams and leaders through insights and recommendations.
What the work actually looks like:
- Build agentic analytics pipelines that automate insight generation across key metrics including contact volume, handle time and resolution quality.
- Develop reusable skill libraries: composable agent tools such as volume lookups, NPS pulls and handle time calculations, callable across workflows and teams.
- Design and govern prompt templates and playbooks: standardised, governed prompts for recurring analytical questions, for example 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 let non technical people query certified data independently.
- Ship rapid, prompt driven dashboards that compress the cycle from business question to live view.
- Automate business reviews with scheduled, agent generated summaries of key metrics.
- Build and maintain evaluation and observability frameworks for those systems.
Who you would work with: business and operational leaders across Airbnb's Community Support organisation, sitting under the Advanced Analytics family within the Analytics Centre of Excellence.
What the team does more broadly: the ACOE delivers metrics, dashboards, performance optimisation, pre and post feature impact measurement, opportunity sizing, anomaly driven alerting, root cause analysis of metric deviation and exploratory hypothesis testing.
Location and working pattern: Gurugram, India. This is the Gurugram based role, not a remote one.
Honest fit guidance: read the AI framing as real rather than decorative. The responsibilities are almost entirely about building agentic tooling and self serve interfaces, not producing analyses by hand. If your analytics experience is SQL and dashboards with no agent or LLM tooling, that is the honest gap. If you have been building with agents and want an analytics seat where that is the job rather than a side project, this is a strong match at 5 years.
Apply on company site
Opens careers.airbnb.com, the employer's own application page. Applying is always free.