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"Business intelligence analysts use their analysis of market trends and internal data to recommend where a business can improve profits and reduce expenses. Prepare for your interview by brushing up on your financial math and SQL skills, as well as your knowledge of the company's competitive space. A few years of experience and a degree in business, finance, or computer science is required for this position."

6,923 business intelligence analyst interview questions shared by candidates

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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Business Intelligence Engineer

Interviewed at Amazon

3.5★
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

SQL question - Table1 year| month| order_id| seller_id| book| quantity| prices 2008|June| 1|888|HP| 2| 2000 2008|June| 1|888|LoTR| 1| 1000 2009|July| 2|999|HP| 1| 1000 Q1. find avg quantity of books solder for every order_id every year? Q2. find max units of books sold for every order_id
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Business Intelligence Engineer

Interviewed at Amazon

3.5★
Oct 1, 2019

SQL question - Table1 year| month| order_id| seller_id| book| quantity| prices 2008|June| 1|888|HP| 2| 2000 2008|June| 1|888|LoTR| 1| 1000 2009|July| 2|999|HP| 1| 1000 Q1. find avg quantity of books solder for every order_id every year? Q2. find max units of books sold for every order_id

1. What would you do the first few weeks on the job? 2. Would you rather be in a creative or hierarchical, structured environment? 3. What makes you different than other candidates? 4. Strengths and Weaknesses 5. What type of people do you work best with? 6. Describe yourself in 6 words.
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Intelligence Analyst Asc

Interviewed at Lockheed Martin

4.1★
Jun 17, 2015

1. What would you do the first few weeks on the job? 2. Would you rather be in a creative or hierarchical, structured environment? 3. What makes you different than other candidates? 4. Strengths and Weaknesses 5. What type of people do you work best with? 6. Describe yourself in 6 words.

Schemas - Sales (sales_id, date , customer_id, Product_id, purchase_amount): Product (P_id, P_Name, Brand_id,B_name) Top 10 products in year XXXX Top 10 products in each year List of customers whose total purchase increased from XXXX-XXXX but decreased from XXXX-XXXX. List of customers who bought both brands "X" & "Y" and at-least 2 products in each brand.
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Business Intelligence Engineer

Interviewed at Amazon

3.5★
Jun 26, 2020

Schemas - Sales (sales_id, date , customer_id, Product_id, purchase_amount): Product (P_id, P_Name, Brand_id,B_name) Top 10 products in year XXXX Top 10 products in each year List of customers whose total purchase increased from XXXX-XXXX but decreased from XXXX-XXXX. List of customers who bought both brands "X" & "Y" and at-least 2 products in each brand.

Q1) Find the number of unique days each employee worked Emp Id Task Id Start date End date 1 1 Monday Wednesday 1 2 Monday Tuesday 1 3 Friday Friday 2 1 Monday Friday 2 1 Tuesday Wednesday Hint: Calendar day table or date dimension table Calendar_day Calendar_day_of_week Calendar_year Calendar_month 1900/01/01 Wednesday (3) 1990 1 Q2) How many customers placed orders every month? Table 1: Customer Date customer_id order_id units country 2019/07/01 A 112 5 US 2019/07/02 A 211 4 US 2019/08/02 B 511 4 EU 2019/09/01 C 322 1 JP 2019/09/01 C 322 2 JP 2019/08/05 A 378 6 US 2019/09/10 A 456 7 US
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Business Intelligence Engineer

Interviewed at Amazon

3.5★
Mar 15, 2020

Q1) Find the number of unique days each employee worked Emp Id Task Id Start date End date 1 1 Monday Wednesday 1 2 Monday Tuesday 1 3 Friday Friday 2 1 Monday Friday 2 1 Tuesday Wednesday Hint: Calendar day table or date dimension table Calendar_day Calendar_day_of_week Calendar_year Calendar_month 1900/01/01 Wednesday (3) 1990 1 Q2) How many customers placed orders every month? Table 1: Customer Date customer_id order_id units country 2019/07/01 A 112 5 US 2019/07/02 A 211 4 US 2019/08/02 B 511 4 EU 2019/09/01 C 322 1 JP 2019/09/01 C 322 2 JP 2019/08/05 A 378 6 US 2019/09/10 A 456 7 US

Question 5 : An ad campaign has a CPC = $0.5, a conversion rate = 3% and an average transaction value of $260.What is the Cost of Sales of the campaign (cost of the ad campaign divided by the revenues generated, in percentage)? Question 6 : With a margin on revenues of 13%, an average transaction value of $290 and a conversion rate = 0.7%, what is the maximum CPC an advertiser can afford without losing money (in dollar)? Question 7 : During his browsing, a user is randomly exposed to two ad banners A & B. Those two banners are equally likely to be shown. One and only one banner is shown per page. After two pages of browsing, what’s the probability that the user was shown only banners A (in percentage)? Question 8 : A/B Testing campaign: Measuring the impact of Criteo retargeting ads compared to a control group. Number of transactions on client site : • Group A exposed to Criteo banners 600,000 • Group B Control group not exposed 50,000a. b. What incremental revenues per user CompanyA has generated for the client advertiser (in dollar, rounded to the cent)? c. What total incremental revenues CompanyA has generated for the client advertiser? Total incremental revenue is simply the incremental revenue per user multiplied by the number of users exposed to Company A's retargeting. d. With $200.000 revenues following clicks on banners for group A (post click), what is the related post view (view through) effect in revenues generated by CompanyA campaign? View through effects on revenues are a bit tricky as they would require view through conversion tracking. A post impression visit that results in a transaction can be credited as a 'view through conversion'. If CompanyA is not tracking revenue on post-impression ('view through') visits, then you can estimate it by taking the average revenue per transaction - in this case $200,000 - and divide it by the number of post-click transactions in group A. This would give you the average revenue per transaction, often referred to as Average Order Value. You could then take the Average Order Value and multiply it by the number of view through conversions generated by Company A.
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Business Intelligence Analyst, Mid-Market Europe and Latin America

Interviewed at Criteo

3.9★
Mar 28, 2015

Question 5 : An ad campaign has a CPC = $0.5, a conversion rate = 3% and an average transaction value of $260.What is the Cost of Sales of the campaign (cost of the ad campaign divided by the revenues generated, in percentage)? Question 6 : With a margin on revenues of 13%, an average transaction value of $290 and a conversion rate = 0.7%, what is the maximum CPC an advertiser can afford without losing money (in dollar)? Question 7 : During his browsing, a user is randomly exposed to two ad banners A & B. Those two banners are equally likely to be shown. One and only one banner is shown per page. After two pages of browsing, what’s the probability that the user was shown only banners A (in percentage)? Question 8 : A/B Testing campaign: Measuring the impact of Criteo retargeting ads compared to a control group. Number of transactions on client site : • Group A exposed to Criteo banners 600,000 • Group B Control group not exposed 50,000a. b. What incremental revenues per user CompanyA has generated for the client advertiser (in dollar, rounded to the cent)? c. What total incremental revenues CompanyA has generated for the client advertiser? Total incremental revenue is simply the incremental revenue per user multiplied by the number of users exposed to Company A's retargeting. d. With $200.000 revenues following clicks on banners for group A (post click), what is the related post view (view through) effect in revenues generated by CompanyA campaign? View through effects on revenues are a bit tricky as they would require view through conversion tracking. A post impression visit that results in a transaction can be credited as a 'view through conversion'. If CompanyA is not tracking revenue on post-impression ('view through') visits, then you can estimate it by taking the average revenue per transaction - in this case $200,000 - and divide it by the number of post-click transactions in group A. This would give you the average revenue per transaction, often referred to as Average Order Value. You could then take the Average Order Value and multiply it by the number of view through conversions generated by Company A.

As memebers of the analytics team, we responsible for supporting all of Yammers other teams including Product dev & Eng, marketing, sales, Customer engagement and Exec team. Pick one of these teams and explain the problems it has and some ways you might go about solving them using data.
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Business Intelligence Manager

Interviewed at Yammer

3.9★
Apr 12, 2013

As memebers of the analytics team, we responsible for supporting all of Yammers other teams including Product dev & Eng, marketing, sales, Customer engagement and Exec team. Pick one of these teams and explain the problems it has and some ways you might go about solving them using data.

(ordr_date, cust_id, product_id, prc_per_unit, unit) ('2020-10-01', '1', 'AA', 10.5, 2), ('2020-11-01', '1', 'BB', 1.5, 3), ('2020-01-01', '1', 'CC', 3.5, 8), ('2020-01-01', '2', 'CC', 4.5, 3), ('2020-01-01', '2', 'BB', 1.5, 3); 1. List the top 20 customers who have the highest spending 2. Find the highest spent product for each customer
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Business Intelligence Engineer

Interviewed at Amazon

3.5★
May 13, 2022

(ordr_date, cust_id, product_id, prc_per_unit, unit) ('2020-10-01', '1', 'AA', 10.5, 2), ('2020-11-01', '1', 'BB', 1.5, 3), ('2020-01-01', '1', 'CC', 3.5, 8), ('2020-01-01', '2', 'CC', 4.5, 3), ('2020-01-01', '2', 'BB', 1.5, 3); 1. List the top 20 customers who have the highest spending 2. Find the highest spent product for each customer

You have been asked to send an e-mail campaign to customers that have made a purchase on Amazon.com in the past but not recently. Tell me how you would go about the process. Now tell me the structure of the query you would use.
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Business Intelligence Analyst

Interviewed at Amazon

3.5★
Apr 27, 2012

You have been asked to send an e-mail campaign to customers that have made a purchase on Amazon.com in the past but not recently. Tell me how you would go about the process. Now tell me the structure of the query you would use.

From SQL: 1. If there are 2 tables with m and n rows respectively, then what will be the minimum and maximum number of rows in all the joins. 2. Get the 3rd highest employee salary from employee salary table. 3. Given a product table, the new record gets appended in table with the new timestamp for the product ID. Find out the latest row for that particular product with or without analytical functions. 4. Given there are 2 tables of employee details and employee project details, which all employee are not yet assigned a project. For python: 1. Given a product data frame, the new record gets appended in table with the new timestamp for the product ID. Find out the latest data frame for that particular product with pandas.
avatar

Business Intelligence Engineer

Interviewed at Amazon

3.5★
Jul 8, 2022

From SQL: 1. If there are 2 tables with m and n rows respectively, then what will be the minimum and maximum number of rows in all the joins. 2. Get the 3rd highest employee salary from employee salary table. 3. Given a product table, the new record gets appended in table with the new timestamp for the product ID. Find out the latest row for that particular product with or without analytical functions. 4. Given there are 2 tables of employee details and employee project details, which all employee are not yet assigned a project. For python: 1. Given a product data frame, the new record gets appended in table with the new timestamp for the product ID. Find out the latest data frame for that particular product with pandas.

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