Tiger Analytics Business Analyst candidates report three to five rounds mixing SQL, Python or PySpark, Tableau or Power BI, statistics, case studies, guesstimates, a manager discussion and HR.
$113K
Avg. Base Comp
$140K
Avg. Total Comp
3-5 rounds
Typical Rounds
30 days
Process Length
Candidates describe the Tiger Analytics Business Analyst interview as practical and business-focused rather than algorithm-heavy. Reports range from three to five stages, and three of the five reports ended in an offer.
SQL is the most consistent theme. One candidate was asked about HAVING versus WHERE and basic JOINs. Another faced PySpark and SQL questions on practical data manipulation, and a third described scenario-based SQL and Power BI questions on complex data scenarios. A senior-level report added query optimization.
BI tooling also comes up. Reported questions include why you would use a dual-axis chart in Tableau, and how a Power BI self-serve environment fits together. Expect to explain the reasoning behind a visual or architecture choice, not just name features.
Case work varies by candidate. One was given a credit card profitability problem with an annual fee, APR, transaction costs and a usage assumption. Another prepared a case presentation using statistical reasoning, and was asked about correlation versus causation, mean versus mode and p-values in regression. Guesstimates appeared in two reports.
Manager conversations focused on past projects, your specific contribution and how you handled situations. One candidate discussed managing delinquency buckets in a financial context. Prepare two or three projects you can explain step by step.
One candidate reported about a month end to end. Another reported slow or unclear communication, so ask early about next steps.
Synthesized from 5 candidate reports by our editorial team.
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Topics based on recent interview experiences.
Featured question at Tiger Analytics
Select the 2nd highest salary in the engineering department
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Synthesized from candidate reports. Individual experiences may vary.
Candidates report different openings. One began with a case study before the HR screen, another with a technical assessment mixing SQL, Python and statistics, and a third with a foundational analytical assessment. Expect an early test of analytical basics, though the exact format may differ by team.
One candidate describes an initial HR screening after the case study, and another describes a final HR round covering culture fit and logistics. Not every report mentions an early HR step, so treat its timing as variable and be ready to explain your background and motivation.
Candidates report one or two technical rounds on SQL, PySpark or Python, and Tableau or Power BI. Reported topics include HAVING versus WHERE, JOINs, query optimization, dual-axis charts and Power BI self-serve architecture. Questions are typically practical and scenario-based, and interviewers may probe how you reason.
Candidates report business cases such as a credit card profitability problem, prioritization scenarios and agile backlog questions. Another candidate gave a statistics-based case presentation and was asked about p-values and correlation versus causation. Guesstimates were also reported, so practice stating assumptions clearly.
Several candidates describe a manager conversation about past projects, personal contribution and problem-solving approach, followed by a final HR discussion. One candidate says salary was negotiated at the end. Be ready for follow-up questions on your own project decisions.
