Intelligence Analyst Interview Questions

Intelligence Analyst Interview Questions

An intelligence analyst evaluates data and information to identify security risks and mitigate them for various organizations. Some intelligence analysts work for government agencies, but the field is broad and spans across various industries. When interviewing for a position as an intelligence analyst, you may face questions about the tools you use to identify risks.

Top Intelligence Analyst Interview Questions & How to Answer

Question 1

Question #1: Describe your method for identifying and mitigating security risks.

How to answer
How to answer: An interviewer uses this question to understand your methods and processes for managing important tasks. Use the STAR method to describe a specific situation that demonstrates how you analyze data to identify potential security risks for an organization and take action.
Question 2

Question #2: How do you track the data you use to make decisions and share information with others on the team?

How to answer
How to answer: Data analysis is part of the role of an intelligence analyst, but this individual also needs to be able to track the data they use and disseminate it across the intelligence team. When answering this question, talk about the software or tools you have experience with that allow for accurate data analysis and management.
Question 3

Question #3: What do you think is the greatest responsibility of an intelligence analyst?

How to answer
How to answer: This question allows you to share your perspective on the role of an intelligence analyst and their responsibilities to an organization. Your perspective might outline the importance of mitigating security risks or describe the responsibility of protecting a group of people.

6,759 intelligence analyst interview questions shared by candidates

50,000 shoppers with a 0.5% conversion rate for a chair that costs $250. Wayfair makes a 27% profit. Next, 50,000 shoppers will get a 10% discount. What is the conversion rate they must achieve to achieve the same profits as before?
avatar

Business Intelligence Analyst

Interviewed at Wayfair

3
Nov 21, 2014

50,000 shoppers with a 0.5% conversion rate for a chair that costs $250. Wayfair makes a 27% profit. Next, 50,000 shoppers will get a 10% discount. What is the conversion rate they must achieve to achieve the same profits as before?

Basic SQL questions. Describe a join to a non-technical person. How do you handle a query that does not perform quickly? They want to know that you can use 'explain plans', which I currently do not use (I'm still entry level). Select all customers who purchased at least two items on two separate days. Given a table with a combination of flight paths, how would you identify unique flights if you don't care which city is the destination or arrival location.
avatar

Business Intelligence Engineer

Interviewed at Amazon

3.6
Mar 25, 2017

Basic SQL questions. Describe a join to a non-technical person. How do you handle a query that does not perform quickly? They want to know that you can use 'explain plans', which I currently do not use (I'm still entry level). Select all customers who purchased at least two items on two separate days. Given a table with a combination of flight paths, how would you identify unique flights if you don't care which city is the destination or arrival location.

probability of the product coming from location A is 0.8 and from location B is 0.6. What is the probability the customers will receive the product from location A or location B SQL - tested on different join , lead , lag, pivoting in sql , sub query, group by having, where, aggregate and think about how you would find outliers)
avatar

Business Intelligence Engineer

Interviewed at Amazon

3.6
Apr 9, 2020

probability of the product coming from location A is 0.8 and from location B is 0.6. What is the probability the customers will receive the product from location A or location B SQL - tested on different join , lead , lag, pivoting in sql , sub query, group by having, where, aggregate and think about how you would find outliers)

Derive customer's account status as of month end for all the months in 2019. If for given month, there are more than one rows, pick the data from the latest date within the month. If for given month, there is no data, pick the data from latest date prior to the month You can use last_day function to get month ending date(Eg: last_day(01/01/2015) = 01/31/2015) customer_id event_date status credit_limit 1 1/1/2019 C 1000 1 1/5/2019 F 1000 1 3/10/2019 1000 1 3/10/2019 1000 1 8/27/2019 L 1000 2 1/1/2019 L 2000 2 1/5/2019 2500 2 3/10/2019 2500 3 1/1/2019 S 5000 3 1/5/2019 6000 3 3/10/2019 B 5000 4 3/10/2019 B 10000
avatar

Business Intelligence Engineer

Interviewed at Amazon

3.6
Mar 2, 2021

Derive customer's account status as of month end for all the months in 2019. If for given month, there are more than one rows, pick the data from the latest date within the month. If for given month, there is no data, pick the data from latest date prior to the month You can use last_day function to get month ending date(Eg: last_day(01/01/2015) = 01/31/2015) customer_id event_date status credit_limit 1 1/1/2019 C 1000 1 1/5/2019 F 1000 1 3/10/2019 1000 1 3/10/2019 1000 1 8/27/2019 L 1000 2 1/1/2019 L 2000 2 1/5/2019 2500 2 3/10/2019 2500 3 1/1/2019 S 5000 3 1/5/2019 6000 3 3/10/2019 B 5000 4 3/10/2019 B 10000

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