Airbnb Data Analytics Interview Questions and Answers (2026 Guide)

Quick answer: Airbnb has no standalone India engineering headquarters, but it does maintain a real and growing India presence: a Gurgaon corporate office that houses its Analytics Centre of Excellence (ACOE), a Bengaluru technology hub opened in 2022, and a new Global Capability Center in Gurugram leased in October 2025 that explicitly covers data analytics. One first-person account describes a genuine India-based Analytics interview, but most of the granular, question-level detail we could verify (Glassdoor, StrataScratch, Blind) reflects Airbnb's global hiring process rather than a confirmed India-specific loop.

About Airbnb

Airbnb is the global home-sharing and travel marketplace connecting hosts and guests, headquartered in San Francisco. In India, Airbnb's Gurgaon office at DLF Cyber City serves as its corporate base for India and South Asia and hosts the Analytics Centre of Excellence (ACOE), which Airbnb's own job postings describe as working across payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms, and partnership and economics. (Airbnb ACOE job listing, apna.co) Separately, Airbnb announced a Bengaluru technology hub on 21 March 2022, targeting a few hundred engineering and tech hires in its first phase, with co-founder Nathan Blecharczyk calling India "an incredibly important market" for the company. (Sightsinplus) Most recently, real-estate filings show Airbnb signed a 5-year, 46,437 sq ft lease for a new Global Capability Center in Gurugram starting 1 October 2025, described as supporting "global technology, product development, data analytics, and business functions." (Univest, lease filing summary)

Airbnb's Interview Process

• The one genuinely India-based, first-person account we found is a September 2022 Medium post from a candidate who interviewed for an Analytics role on Airbnb's Trust team, hired as a remote position based in India. The author describes a process of "1 month, 7 rounds," opening with an HR screening covering profile background, experience with analytical tools, past projects, motivation for switching roles and for joining Airbnb specifically, and salary expectations, followed by an online coding test. The account does not detail rounds 3 through 7. (Medium, Rohan Raj)

• Global candidate reports on Glassdoor, not confirmed India-specific, rate the Data Scientist interview 3.3 out of 5 for difficulty with only 29% of candidates reporting a positive experience, well below Airbnb's own company-wide average of 44.1%, and an average of 27 days to hire across 48 submitted interviews. (Glassdoor)

• A Blind thread from a self-identified Airbnb employee describes the Analytics-track process as a phone screen focused on SQL, then an onsite technical session with a live data-analysis exercise. The same reply is explicit that Excel- or Tableau-only candidates tend to get rejected, since the expectation is Python or R plus applied statistics, and that the Analytics track differs from Airbnb's separate Inference and Algorithms data-science tracks. (Blind)

What Candidates Report

A StrataScratch analysis of 25 real, aggregated Airbnb Data Scientist interview questions found 67% were coding questions using SQL, Python or R (for example, "find the average accommodates-to-beds ratio for shared rooms in each city"), 17% were business-case questions built around a 2 to 3 day take-home assignment where candidates analyze a dataset and present a recommendation, and the remaining 16% covered product knowledge, modeling and general technical theory. GROUP BY aggregation, CASE/ELSE conditional logic and joins were the most frequently recurring SQL concepts. (StrataScratch) Other commonly cited practice questions across prep sites include designing a recommender system for Airbnb listings and investigating a sudden dip in page views, though these appear on aggregator guides rather than as verbatim candidate-reported quotes. (Interview Kickstart)

What We Could Not Verify

The single India-based candidate account we found only details the first two of seven reported rounds, so we cannot confirm what Airbnb's India-based Analytics coding test or later rounds actually cover. We also could not confirm whether Airbnb runs a separate, India-specific interview loop for Data Scientist (as opposed to Analytics or Business Analyst) roles at all: every Data Scientist-specific process description we found (Glassdoor, StrataScratch, Blind) reflects Airbnb's global hiring and does not specify India as the interview location. AmbitionBox returned no usable Airbnb India interview reviews, and one commonly cited SQL-question aggregator page returned a 404 during this research pass, so we have not repeated its specific question text.

How to Prepare

• Get fluent in SQL first, since it is confirmed as the phone-screen focus and the single most common question type across every source we checked.

• Practise a multi-day take-home case study, since Airbnb's business-case round reportedly gives 2 to 3 days to analyze a dataset and present a product recommendation, not a live, timed exercise.

• Be ready to explain, specifically, why Airbnb and why the business function you're interviewing for (Trust, Payments, Marketplace and similar), since this was an explicit HR-round theme in the one India-based account we found.

• Don't lean on Excel or Tableau alone; demonstrate applied statistics in Python or R, since a self-identified Airbnb employee stated this is where Analytics-track candidates most often fail.