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9 Winnebago SQL Interview Questions (Updated 2024)

Updated on

June 30, 2024

Data Science, Data Engineering and Data Analytics employees at Winnebago write SQL queries all the time as part of their job. They use SQL for analyzing customer purchase data for trend analysis and managing inventory databases to aid in effective production planning. That's why Winnebago typically asks folks interviewing for data jobs SQL interview questions.

Thus, to help you prep, here’s 9 Winnebago SQL interview questions – able to answer them all?

Winnebago SQL Interview Questions

9 Winnebago SQL Interview Questions

SQL Question 1: Identify VIP Customers for Winnebago

Winnebago, a renowned company for manufacturing motorhomes and towable camping trailers, considers its VIP or whale customers as those who buy their products more frequently. This serves as an important activity that drives the business. Given this, can you write a SQL query to identify these power users?

The criteria for identification of these power users are as follows:

  1. A power user is anyone who buys a motorhome or camping gear 5 times or more each month.
  2. Higher priority should be given to recent months, i.e., those users who purchased 5 times or more in the latest month should be on top.

You are given two tables and .

Example Input
buyer_idfirst_namelast_name
101MichealSmith
102JohnDoe
103JerryAndrew
104AndyClarke
105SylviaPlath
Example Input
purchase_idbuyer_idproduct_idpurchase_date
110120101/09/2022
210120301/10/2022
310120401/12/2022
410220201/15/2022
510120501/18/2022
610120601/25/2022
710320102/06/2022
810420202/08/2022
910520302/12/2022

Answer:


The above PostgreSQL query first creates a CTE (Common Table Expressions) that groups buyer purchases on a monthly basis. It then joins this CTE with the table to get the remaining buyer details. The clause filters out only those who purchased 5 times or more each month, and the clause ensures that the power users from the most recent month are listed first.

To work on a similar customer analytics SQL question where you can solve it right in the browser and have your SQL code instantly graded, try this Walmart SQL Interview Question: Walmart Labs SQL Interview Question

SQL Question 2: 2nd Highest Salary

Suppose there was a table of Winnebago employee salary data. Write a SQL query to find the 2nd highest salary amongst all the .

Winnebago Example Input:

employee_idsalary
12500
2800
31000
41200

Example Output:

second_highest_salary
1200

Write a SQL query for this problem directly within the browser on DataLemur:

2nd Highest Salary SQL Interview Question

Answer:


You can find a step-by-step solution with hints here: 2nd Highest Salary.

Check out the Winnebago career page and see where you might fit best!

SQL Question 3: How do you identify records in one table that aren't in another?

To find records in one table that aren't in another, you can use a and check for values in the right-side table.

Here is an example using two tables, Winnebago employees and Winnebago managers:


This will return all rows from Winnebago employees where there is no matching row in managers based on the column.

You can also use the operator in PostgreSQL and Microsoft SQL Server to return the records that are in the first table but not in the second. Here is an example:


This will retrieve all rows from employees that do not appear in managers. The operator works by retreivingthe rows that are returned by the first query, but not by the second.

Please note that is not supported by all DBMS systems, such as MySQL and Oracle (however, you can use the operator to achieve a similar outcome).

Winnebago SQL Interview Questions

SQL Question 4: Calculate the Monthly Average Review Ratings for each Product

Winnebago, a major manufacturer of recreational vehicles (RVs), wants to track customer satisfaction for their products. They've asked you to write a SQL query that calculates the monthly average of the review ratings for each product.

Winnebago collects customer reviews that include a star rating (1-5) and the date the review was submitted. They would like to see each product's average review score, broken down by month.

Example Input:
review_iduser_idsubmit_dateproduct_idstars
61711232022-06-08500014
78022652022-06-10698524
52933622022-06-18500013
63521922022-07-26698523
45179812022-07-05698522
Expected Output:
monthproduct_idavg_stars
6500013.50
6698524.00
7698522.50

Answer:


In this query, we're using PostgreSQL's EXTRACT function to get the month from the column. Then we're grouping by month and to calculate the average rating () for each product each month. Finally, we're ordering the results by month and to easily see how each product's ratings evolve over time.

To practice a similar window function question on DataLemur's free online SQL coding environment, solve this Google SQL Interview Question: Google SQL Interview Question

SQL Question 5: How do you select records without duplicates from a table?

The keyword added to a statement can be used to get records without duplicates.

For example, say you had a table of Winnebago customers:

namecity
AkashSF
BrittanyNYC
CarlosNYC
DiegoSeattle
EvaSF
FayeSeattle

Suppose you wanted to figure out which cities the customers lived in, but didn't want duplicate results, you could write a query like this:


Your result would be:

city
SF
NYC
Seattle

SQL Question 6: Calculate the Average Sales Revenue per Product Model

As a data analyst at Winnebago, you're tasked with determining the performance of different product models in terms of sales revenue. You have two tables – and . The table logs every sale made, including the product model sold, the sale price, and the sale date. The table contains details on each model, including a unique model id and model name.

Calculate the average sales revenue per Winnebago model for the year 2022.

Here are some example inputs:

Example Input:
sale_idsale_dateproduct_model_idsale_price
1112022-01-10180000
2222022-02-15285000
3332022-03-20179000
4442022-04-25392000
5552022-05-30288000
Example Input:
product_model_idmodel_name
1Winnebago Minnie
2Winnebago Micro Minnie
3Winnebago Voyage

Answer:


This PostgreSQL query uses inner join to combine and on , and the WHERE clause is used to filter sales only from the year 2022. The AVG function calculates the average for each model (grouped by ).

Result:

Example Output:
model_nameaverage_sales_2022
Winnebago Minnie79500
Winnebago Micro Minnie86500
Winnebago Voyage92000

SQL Question 7: What would you do to speed up a slow SQL query?

First things first, figure out why the query is slow! You can use and commands in PostgreSQL to identify any performance bottlenecks. You might discover that your query is inefficient, or that there are many database writes at the same time you are doing a read, or maybe too many people are concurrently running queries on the same database server.

For Data Analyst and Data Science positions, knowing the ins-and-outs of SQL performance tuning is out-of-scope for the SQL interview round. However, knowing that joins are expensive, and indexes can speed up queries, is generally enough of an answer for Winnebago SQL interviews.

SQL Question 8: Winnebago Customer Search

Given the customer database for Winnebago, you have to identify all customers with their first or last names starting with 'A'. In addition, include the city in which these customers live for further segregation of the output.

Example Input:
customer_idfirst_namelast_namecity
1624AaronJamesLos Angeles
1502AbigailBennetChicago
2435AnnaDavidsNew York
3715JenniferArnoldLos Angeles
7846AlfredBranningSeattle
Example Output:
customer_idfirst_namelast_namecity
1624AaronJamesLos Angeles
1502AbigailBennetChicago
2435AnnaDavidsNew York
7846AlfredBranningSeattle

Answer:


In this query, we are asking the PostgreSQL server to fetch all columns from the 'customers' table where the first_name or the last_name starts with 'A'. The 'LIKE' keyword is used in conjunction with the '%' wildcard to identify patterns in the text data. In this case, the search pattern is any text that starts with 'A', signified by the '%' symbol following 'A'.

SQL Question 9: Calculate Average Fuel Efficiency

Winnebago wants to calculate the average fuel efficiency for all of their models. The fuel efficiency is calculated by taking the sum of trip distances divided by the total fuel consumed for each car model. The company wants rounded values of the calculated average fuel efficiency.

They would also like to know the absolute difference in efficiencies of two of their models - 'Journey' and 'Minnie Winnie', given they have the same number of trips.

Keep in mind that the units for are in miles and the units for are in gallons.

Use the table for this problem.

Example Input:
trip_idmodeltrip_distancefuel_consumed
345Journey10010
346Minnie Winnie20025
347Journey30030
348Minnie Winnie15018
349Journey25025

Answer:


In the above query,

The first part of the query calculates the average fuel efficiency for each model of the car and rounds it off to the nearest whole number using the ROUND() function.

The next part of the query selects the average fuel efficiencies of 'Journey' and 'Minnie Winnie' models.

Finally, the UNION ALL clause combines these results with the absolute difference in efficiencies of these two models calculated using the ABS() function.

The MAX(avg_efficiency) OVER () and MIN(avg_efficiency) OVER () functions fetch the maximum and minimum efficiencies from the result set to calculate the absolute difference.

To practice a very similar question try this interactive Alibaba Compressed Mean Question which is similar for calculating averages of performance metrics or this Amazon Average Review Ratings Question which is similar for the need to average performance over a set of products.

Winnebago SQL Interview Tips

The key to acing a Winnebago SQL interview is to practice, practice, and then practice some more! Beyond just solving the above Winnebago SQL interview questions, you should also solve the 200+ tricky sql questions on DataLemur which come from companies like Netflix, Airbnb, and Amazon. DataLemur SQL and Data Science Interview Questions

Each problem on DataLemur has hints to guide you, detailed solutions and best of all, there is an interactive coding environment so you can instantly run your query and have it graded.

To prep for the Winnebago SQL interview you can also be useful to practice SQL questions from other automotive companies like:

However, if your SQL foundations are weak, don't worry about diving straight into solving questions – refresh your SQL knowledge with this SQL interview tutorial.

SQL tutorial for Data Scientists & Analysts

This tutorial covers things like joining multiple tables and filtering data with boolean operators – both of which come up frequently in Winnebago SQL assessments.

Winnebago Data Science Interview Tips

What Do Winnebago Data Science Interviews Cover?

In addition to SQL interview questions, the other types of problems covered in the Winnebago Data Science Interview are:

Winnebago Data Scientist

How To Prepare for Winnebago Data Science Interviews?

The best way to prepare for Winnebago Data Science interviews is by reading Ace the Data Science Interview. The book's got:

  • 201 Interview Questions from Facebook, Google, & Amazon
  • A Crash Course on SQL, Product-Sense & ML
  • Amazing Reviews (1000+ reviews, 4.5-star rating)

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