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Data Analyst Interviews

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Data Analyst Interview Questions

In a data analyst interview, employers ask questions that help ascertain your level of technical skills, including familiarity with data analysis software, data analysis terminology, and statistical methods. Interviewers may also use guesstimate questions to learn about your problem-solving skills and creative thinking.

Top Data Analyst Interview Questions & How to Answer

Question 1

Question #1: What data analysis software have you worked with?

How to answer
How to answer: Data analysts use software to perform many of their job duties. Interviewers ask this question to determine your current skill level and how much training you may require. List and discuss any data analysis software you have used. Be sure to mention specific software training and give examples of how you used the software on the job.
Question 2

Question #2: Which statistical methods are most beneficial for data analysis?

How to answer
How to answer: With this question, interviewers are testing your understanding of the most commonly used statistical methods, such as the simplex algorithm, imputation, the Bayesian method, and the Markov process. List and discuss data analysis methods, including the specific benefits of each process. If possible, include examples of how you used specific statistical methods on the job.
Question 3

Question #3: Explain how you would estimate the pairs of rain boots sold in Seattle in May?

How to answer
How to answer: Guesstimate questions are often used in data analyst interviews to test your analytical thinking and problem-solving methods. Share how you would work through the problem, including the data sets you would need, how you would go about finding data, and the methods you would use to calculate an estimated answer.

49,194 data analyst interview questions shared by candidates

how did you analyze data? Who uses your data analysis results? how large is the data set you work with? sql question one: the first table is customer purchase table, with five columns, customer id, purchase date, product id, unit price, unit purchased, write queries to retrieve data with unique customer id that made over $100 purchase in the past seven days. sql question two: a second table is the customer details table, with two columns, customer id, registration date, write queries to retrieve data with unique customer id that made over $100 purchase who registered in the past ten days. probability question: what is the probability of generating ten consecutive numbers in ascending order out of 100 numbers? this is a random number generation question.
avatar

Data Analyst

Interviewed at Amazon

3.5★
Nov 8, 2016

how did you analyze data? Who uses your data analysis results? how large is the data set you work with? sql question one: the first table is customer purchase table, with five columns, customer id, purchase date, product id, unit price, unit purchased, write queries to retrieve data with unique customer id that made over $100 purchase in the past seven days. sql question two: a second table is the customer details table, with two columns, customer id, registration date, write queries to retrieve data with unique customer id that made over $100 purchase who registered in the past ten days. probability question: what is the probability of generating ten consecutive numbers in ascending order out of 100 numbers? this is a random number generation question.

Case 1: Given APR, Interchange fee, Avg monthly balance, Avg spend every month, and loss rate of 3% calculate the profit per customer. Now justify if it is profitable to give cash back to the customers.. Case 2: 2 ways of campaigning for credit cards 1. Email - 10% of applicants become customers - each representative can verify 10 email applications in an hr and is paid $25/hr 2. Chat - 20% of applicants become customers - each representative can respond to 4 applications in an hr and is paid $25/hr Profit per customer in both the cases in $100. which one is profitable email or chat. Draw the graph of profit vs no of applicants Consider a scenario where there are only 5 representatives to handle applications. In this case which one is more profitable email or chat. calculate the breakeven point for the no of representatives where chat will be profitable than email.
avatar

Senior Data Analyst

Interviewed at Capital One

3.6★
Mar 17, 2016

Case 1: Given APR, Interchange fee, Avg monthly balance, Avg spend every month, and loss rate of 3% calculate the profit per customer. Now justify if it is profitable to give cash back to the customers.. Case 2: 2 ways of campaigning for credit cards 1. Email - 10% of applicants become customers - each representative can verify 10 email applications in an hr and is paid $25/hr 2. Chat - 20% of applicants become customers - each representative can respond to 4 applications in an hr and is paid $25/hr Profit per customer in both the cases in $100. which one is profitable email or chat. Draw the graph of profit vs no of applicants Consider a scenario where there are only 5 representatives to handle applications. In this case which one is more profitable email or chat. calculate the breakeven point for the no of representatives where chat will be profitable than email.

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