Agoda Data Analyst reports describe technical SQL and statistics interviews, assessments, and, in one longer process, business cases, a take-home, and a presentation.
$85K
Avg. Base Comp
$110K
Avg. Total Comp
6 rounds
Typical Rounds
Not reported
Process Length
Agoda Data Analyst interview reports show substantial variation. One candidate described a six-stage process that began with an HR screen and online assessment, followed by a technical interview, a take-home assignment, a presentation, and a director interview. The assessment included chart interpretation, statistics, and basic SQL or logic. Later discussion included investigating a KPI decline, designing an A/B test, explaining projects, and working with stakeholders. The take-home used marketing-style data and Excel sheets; the candidate was asked to identify and present an insight.
A separate Data Analyst candidate reported one fully online technical interview with camera and screen recording. It covered SQL and statistics, including a five-table user-and-sales problem, a nested-query challenge, and applied questions about ridge versus lasso regression. Another account described separate Alooba assessments for different prospective tracks, with content ranging from charts, statistics, SQL, and a brief video response to more advanced statistics and data-science concepts. That candidate then had an HR conversation about their background and general SQL.
Prepare timed SQL across multiple tables, explain statistical reasoning in business language, and structure an investigation of a KPI change or experiment. If assigned a case or take-home, focus on a clear, defensible insight and a concise presentation. Ask the recruiter early which role, team, and assessment track apply, since the reports indicate those details can differ.
Synthesized from 4 candidate reports by our editorial team.
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Real interview reports from people who went through the Agoda process.
The most difficult part of this process was not the assessment itself, but figuring out which job I was actually being considered for. I had been shortlisted for both a Senior Analyst role in the Customer Experience Group in Bangkok, with relocation support, and a role on the Supply Analytics team. I received a separate Alooba assessment for each. The Customer Experience assessment leaned toward marketing analytics, charts, statistics, SQL, and a one-minute video response. The Supply Analytics version was noticeably more technical, with data analytics and data science concepts, advanced statistics, and harder SQL questions. I scored 81% on the Supply assessment, but because I completed the Customer Experience assessment first, I was only moved forward for that track's initial HR screen.
The interview invitation added to the confusion because it referred to an Associate Analyst / Analyst / Senior Analyst, Marketing Analytics role, which did not clearly match either role I had applied for. The HR conversation covered my professional journey and general SQL questions. I was told upfront that every stage was eliminatory and that candidates who did not progress would receive a rejection email and have their application closed.
I spent a lot of time preparing beyond the technical material, including Thailand's tax system, relocation implications, and cost of living. However, when I asked about the title mismatch and the actual role, I mostly received a generic promise that the team would check internally. The recruiter could not provide clear details on the eventual team, team structure, KPIs, responsibilities, or how performance would be measured. I was told final team assignment would be determined later based on interview performance and hiring-manager fit. That lack of clarity made it hard to target my preparation, and I ultimately did not receive an offer. My main advice is to prepare for both general SQL and the specific Alooba track you are assigned, while pushing early for written clarification on the role and team before investing heavily in relocation-specific research.
Prep tip from this candidate
Expect the Alooba assessment to vary substantially by track: marketing analytics may include charts, statistics, SQL, and a one-minute video response, while Supply Analytics can involve advanced statistics, data science concepts, and more difficult SQL. Ask the recruiter to confirm the exact role and assessment track early, since team assignment may not be finalized at the initial screen.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Agoda
How would you assess the validity of the result?
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Synthesized from candidate reports. Individual experiences may vary.
Reports include an HR screen, online assessment, or track-specific Alooba assessment. Topics varied by account: chart interpretation, statistics, SQL or logic, and a short video response. One HR discussion covered professional background and general SQL.
One Data Analyst candidate reported a single online technical interview with camera and screen recording. The SQL work involved five tables containing user and sales data and a nested-query challenge. Statistics questions included regression and ridge-versus-lasso trade-offs.
One six-stage account included case questions on investigating a KPI drop and designing an A/B test. That candidate completed a marketing-style Excel and data take-home in about a week, then presented an insight to a manager and senior analyst before a director interview.
