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Senior Analyst, Advanced Analytics - Gurugram

Airbnb · Posted Oct 27

Short-term home rentals, boutique hotel bookings, travel experiences, and hosting services

Gurugram, IndiaFull-timeOnsiteSenior Level5+ years₹19.6L–₹28.0L yearly<25 applicants
TravelHospitalityMarketplaceConsumerPlatformPublic Company
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About the role

The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of analytics expertise providing data-driven decision-making and scalable analytics for business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership & economics. The team delivers metrics, dashboards, performance optimization, feature impact measurement, ROI sizing, anomaly alerting, root cause analysis and exploratory hypothesis testing. This Senior Analyst role sits in the Advanced Analytics family supporting the Community Support organization, acting as a builder-analyst who creates agentic analytics pipelines, reusable agent skill libraries, orchestration workflows, prompt governance and self-serve interfaces so CS teams can query certified data independently.

What you will do

  • 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.
  • 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.

Skills used in this role

What the employer is looking for

  • 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.

Benefits and support

  • bonus or incentives
  • equity programs
  • Employee Travel Credits

About Airbnb

Airbnb operates a premier global online marketplace that connects travelers with hosts offering unique lodging accommodations, boutique hotels, and curated experiences worldwide. The platform enables millions of people to monetize their spaces and discover authentic local travel experiences across more than 220 countries and regions. By blending community-driven hospitality with innovative AI-powered tools, Airbnb has redefined the modern travel and sharing economy.

Industry
Travel
Company size
8000+ employees
Founded
2008
Location
San Francisco, California, USA
Funding stage
Public Company

Funding

Public Company · $3.07B raised

Y CombinatorSequoia CapitalAndreessen HorowitzGeneral AtlanticSilver Lake
  • 2020-04-06Series E$1B
  • 2020-04-01Private Equity$1B
  • 2015-06-29Series D$1.5B
  • 2014-04-16Series C$475M
  • 2011-07-24Series B$112M
  • 2010-11-01Series A$7.2M
  • 2009-01-01Seed$600K

Leadership

BC
Brian Chesky

Co-Founder and Chief Executive Officer

JG
Joe Gebbia

Co-Founder

NB
Nathan Blecharczyk

Co-Founder and Chief Strategy Officer

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