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"When you apply for a job in the field of analytics, you can expect to be asked technical questions and given math problems that will test your knowledge of statistical math and data management and analysis. The interviewer may test your critical thinking and decision making skills by having you solve word problems on the spot, as you will be expected to know how to gather insights into and draw conclusions from the data you collect on the job. Analytics is a broad field, and the technical questions you are asked will depend on the position you are applying for."

14,503 analytics interview questions shared by candidates

Case study related questions, some graphs were present and you were supposed to answer the questions like which product do you think is good for launching or what it the change of 2019 to 2024 profit percentages( calculate)
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Decision Analytics Associate (DAA)

Interviewed at ZS Associates

3.5★
Nov 5, 2025

Case study related questions, some graphs were present and you were supposed to answer the questions like which product do you think is good for launching or what it the change of 2019 to 2024 profit percentages( calculate)

The case-study is NOT a conventional business-case or similar to most case-studies shared in books or online. It is largely a client-project's context - with data and guidelines on how it can be analyzed. The interviewer should then ask questions for clarification on the objective - to understand what is expected as an output, and with what substantiation. The analysis itself requires basic mathematical skills with sometimes large numbers - and then finally being able to assimilate the results into meaningful recommendations/insights pertaining to the case
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Business Analytics Associate

Interviewed at ZS Associates

3.5★
May 28, 2013

The case-study is NOT a conventional business-case or similar to most case-studies shared in books or online. It is largely a client-project's context - with data and guidelines on how it can be analyzed. The interviewer should then ask questions for clarification on the objective - to understand what is expected as an output, and with what substantiation. The analysis itself requires basic mathematical skills with sometimes large numbers - and then finally being able to assimilate the results into meaningful recommendations/insights pertaining to the case

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