Analyst Interviews

Analyst Interview Questions

Analysts work in a variety of fields to break down complex problems and find solutions. When interviewing candidates, employers are looking for applicants who have strong analytical and problem-solving skills as well as in-depth knowledge of the field. For more information on the specific questions you'll be asked, try researching a particular role such as business analyst, financial analyst, programming analyst, or data analyst.

Top Analyst Interview Questions & How to Answer

Question 1

Question #1: What do you think are the key strengths of an analyst?

How to answer
How to answer: Compose a list highlighting both the behavioral and technical attributes that you're able to apply to the role. The job description should include specific skills an employer is looking for and abilities that are valued, which you should incorporate into your answer.
Question 2

Question #2: How do you handle requirement changes?

How to answer
How to answer: This question is meant to assess your logical thinking and problem-solving skills. It's important to discuss how you prioritize changes, evaluate their impact on projects and resources, and uncover new gaps the change is introducing to functional and technical designs.
Question 3

Question #3: Which intelligence tools or systems have you worked with?

How to answer
How to answer: List specific tools and systems and how you've used them; if you've used a system the interviewing company employs, it's important to highlight that. If you're unfamiliar with their technology, talk about how you plan to learn.

432,899 analyst interview questions shared by candidates

Took 5 to 10 minutes to review my research projects. How to deal with 1 million possible factors that may affect revenues, how large the data should be? And then two questions related to linear regression and logistic regression, respectively.
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Quantitative Analyst

Interviewed at Google

4.4
Sep 23, 2015

Took 5 to 10 minutes to review my research projects. How to deal with 1 million possible factors that may affect revenues, how large the data should be? And then two questions related to linear regression and logistic regression, respectively.

No questions were really that difficult. The only brain teaser that was a bit challenging and threw me off a bit initially: 5 stacks of coins that looks identical. each stack has 5 coins each. 4 of those stacks weigh the same, 1 stack has coins that weigh exactly 1 pound less. using a digital scale once, find out the position of the stack that is less weight.
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Financial Analyst

Interviewed at Google

4.4
Oct 5, 2012

No questions were really that difficult. The only brain teaser that was a bit challenging and threw me off a bit initially: 5 stacks of coins that looks identical. each stack has 5 coins each. 4 of those stacks weigh the same, 1 stack has coins that weigh exactly 1 pound less. using a digital scale once, find out the position of the stack that is less weight.

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