Associate data analyst Interview Questions | Glassdoor

# Associate data analyst Interview Questions

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associate data analyst interview questions shared by candidates

## Top Interview Questions

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### Data Scientist - Data Analyst - Experienced Associate at Guidehouse was asked...

Oct 24, 2019
 You have 8 marbles and a balance scale. One marble weighs more than the others, but you don’t know which one. How can you identify the heavier marble using only two weighs of the balance scale?2 AnswersWe put 3 marbles on each side of the scale for a total of 6 marbles that are being weighed. We leave 2 marbles off the scale. Then, we compare the 6 marbles… There are two possible outcomes: If one side is heavier than the other then we only have 3 marbles left. Then, in the second weighing, we can compare 2 of those 3 marbles to each other. If they are the same weight, then the 3rd is the heaviest. If one is heavier than the other, then we’ve succeeded in just two weighings. If, when comparing the 6 marbles, we find that both sides are equal, then we know that the heaviest marble has to be in the 2 marbles that are not on the scale. This means that we only have to compare on those 2 remaining marbles and we have the heaviest marble in only two weighings.I wonder how they grade you if you use the simpler but slightly less effective method of going 4x4, then 2x2, then 1x1.

### Experienced Associate (Data Science) at Guidehouse was asked...

Mar 28, 2019
 How would you predict the number of shoes Nike will sell next month in New York?1 AnswerHistorical trends, break the question by customer group, etc.

### Data Scientist - Data Analyst - Experienced Associate at Guidehouse was asked...

Oct 24, 2019
 The average high temperature for x days is 70 degrees. the next day has a high temperature of 84 degrees, which raises the overall average to 72 degrees. what is the value of x1 AnswerSetup problem: (70x + 84) / (x + 1) = 72 Solve for X -> 70x + 84 = 72x + 72 70x + 12 = 72x 12 = 2x 6 = x

### Associate Data Analyst at KPMG was asked...

Nov 18, 2019
 Modeling a job assignment problem1 AnswerDescribe the relevant decision variables and constraints to model the system

### Associate Data Scientist at Comscore was asked...

May 21, 2018
 How would you validate an analysis you performed?1 AnswerFrom the question, I am assuming how would you validate data analysis. Here are my answers: I usually perform exploratory data analysis from the given data to uncover many insights. through data, I would like to understand descriptive statistics. Write a summary of all observations, correlations of all variables, anomalies found, assumptions made, etc. Once my report is complete I validate with the subject matter expert to have a discussion on what the data is telling us so far and see if there are any surprises or intersections between analysis and SME's

### Principal Associate Data Scientist at Capital One was asked...

Oct 27, 2020
 Case study: How will you allocate resources in a call center? What do we learn from demand and supply? Will go after precission or Recall for such a case as a check on your model?1 AnswerThe take home project was about predicting fraud in credit card transaction data set.

### Principal Associate Data Scientist at Capital One was asked...

Oct 27, 2020
 Describe how do you use CNN as your project? How difficult it is to explain the feature importance in deep neural networks. 1 AnswerWhat are the Shapley values?

### Data Analyst/Associate at Capital One was asked...

Oct 26, 2019
 [CASE 1] Given a grouping of high spending vs low spending customers, Capital One will give XYZ company a different 1 time, onboarding amount for the new customer (i.e. give XYZ \$800 for each high spending customer and \$100 for each low spending customer). What percentage of high spending customers would be needed to be worth it? 1 Answerbreakeven amount for 1 time onboarding fee to XYZ = (800x) + (100(1-x))

### Associate Data Analyst at Ugam was asked...

Jul 26, 2019
 Remove duplicate alphabets in a string1 AnswerYou can remove it by using array adding a string length to a hashset and then hashset to a iterator. Iterator then eliminate regular order of a string.

### Principal Associate Data Scientist at Capital One was asked...

Oct 27, 2020
 When to care about bias and how to control variance in your data?1 AnswerHow to mitigate the variance using XGBoost and Logistics Regression models?
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