OYO Data Science Interview Questions and Answers (2026 Guide)

Quick answer: OYO's Data Analyst hiring is reported as 4 rounds, a written SQL round, a SQL follow-up round, a project-and-statistics discussion, and a case-study round, sometimes extending to 5 depending on performance. Data Scientist hiring is reported as leaner, typically 3 rounds (a written test, then technical and HR interviews) that can be reduced to 2, followed by a debrief where interviewers calibrate ratings against OYO's existing candidate pool. Case studies lean hard on hospitality metrics, occupancy rate and RevPAR come up specifically, and SQL is consistently the heaviest-weighted skill across every track we found.

About OYO

OYO was founded in 2012 by Ritesh Agarwal, originally launched as Oravel Stays before being renamed OYO in 2013, and is headquartered in Gurugram (Gurgaon), Haryana. After several years of losses between FY2019 and FY2023, OYO returned to profit in FY2024 and extended that into FY2025, reporting revenue of ₹6,253 crore and a net profit of ₹245 crore for FY2025. (Wikipedia) Data roles at OYO sit close to the pricing and revenue side of the hospitality business rather than pure product analytics, OYO has separately advertised a Revenue Strategy & Analytics Manager position focused on data-driven pricing and demand work for its US business, which matches the RevPAR- and occupancy-flavoured case studies candidates report in India. (Glassdoor)

OYO's Interview Process

• Data Analyst (reported 4 to 5 rounds): a written SQL round of roughly 10 questions in an hour, including easier rank/lead/lag and aggregate questions plus at least one hard problem candidates say was lifted directly from HackerRank, a second SQL round that follows up on the first, a project-and-statistics discussion, and a case-study round. One detailed account describes the case study as designing an executive dashboard, candidates were asked to propose around 20 KPIs including occupancy rate, RevPAR, customer acquisition cost and NPS. (The Data Monk; corroborated by a search-indexed Glassdoor summary at Glassdoor)

• Data Scientist (reported 3 rounds, sometimes 2): a written test with 2 to 3 coding questions plus MCQs on OOPs, data structures/algorithms and DBMS, followed by one or two roughly hour-long face-to-face rounds covering profile fit, data science and machine learning fundamentals, and sometimes system design, then an internal debrief where interviewers rate the candidate and calibrate against OYO's existing hiring bar. This comes from a search-indexed Glassdoor summary; we could not load the Glassdoor page directly to confirm difficulty or positive-experience percentages. (Glassdoor)

• Business Analyst (Glassdoor aggregate, search-indexed): rated 3 out of 5 for difficulty with 69% positive experience and an average 9 days to hire. Candidates report 2 rounds combining a technical SQL/business-acumen discussion (window functions, LEAD and LAG, Pandas) with a case study or guesstimate, plus standalone puzzle questions. (Glassdoor)

• Campus/internship track (Business Analyst or Project Associate): an online test with three sections, 25 quantitative questions, 3 SQL query-writing questions, and 15 technical MCQs on SQL, R and Python, followed by a group discussion built around a shared case study, then two personal-interview rounds covering past projects, two puzzles, a hospitality-flavoured case study, and a closing "why OYO" question before candidates are asked which profile, Business Analyst or Project Associate, they prefer. (GeeksforGeeks)

What Candidates Report

SQL is the one constant across every track, aggregate functions and rank/lead/lag first, then joins and NULL handling, with at least one harder problem several candidates independently trace back to HackerRank. Statistics and Python questions lean toward skewness, kurtosis, correlation, multicollinearity and confusion matrices rather than deep machine-learning theory. (The Data Monk) Case studies are consistently hospitality-flavoured, executive-dashboard KPIs, occupancy and RevPAR, rather than generic "design a dashboard" prompts, which lines up with OYO's pricing-and-revenue-management focus described above. Puzzle questions show up independently in both the Business Analyst and campus-hire accounts, so they appear to be a standing part of OYO's non-technical screening rather than a one-off.

What We Could Not Verify

Direct fetches of OYO's Glassdoor interview pages for Data Analyst, Data Scientist and Business Analyst all returned access errors, so every Glassdoor-attributed detail above comes from a search-indexed summary rather than a page we read in full, and we could not confirm Data Scientist-specific difficulty ratings or positive-experience percentages the way we could for Business Analyst. AmbitionBox did not return usable OYO interview content for this search. A third-party blog post claiming to explain "how to crack the OYO Data Scientist interview" returned a 404 when fetched directly, so we have not drawn on it. We also did not use OYO's "43,000 properties across 800 cities in 80 countries" figure as a current statistic, the most recent sourcing we could confirm for that number dates to January 2020, well before its FY2025 financials.

How to Prepare

• Drill SQL beyond the basics: rank, lead/lag and aggregate functions first, then joins and NULL handling, and expect at least one HackerRank-calibre hard problem.

• Learn hospitality KPIs cold: occupancy rate, RevPAR, customer acquisition cost and NPS all show up in case-study rounds.

• Revise core statistics, not deep ML: skewness, kurtosis, correlation, multicollinearity and confusion matrices are the reported themes, not neural-network internals.

• Keep puzzle-solving sharp alongside technical prep, it appears independently across both analyst and campus-hire interview accounts.