Blog

SQL Interview Questions Asked In Walmart For Data Analyst Post | CTC – 18 LPA | Learn With Curious Club!!

This article is about the SQL Interview Questions asked by Walmart for their Data Analyst post. It offers detailed solutions and explanations to help you prepare data analysts effectively. These SQL Interview Questions, shared by an experienced Data Analyst, cover a range of SQL concepts crucial for success in the interview process.

SQL Interview Questions For data analyst

There are a total of 3 SQL queries with their solution that were asked in the interviews for the Data Analyst Post at Walmart. Walmart is an American multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores in the United States and 23 other countries.

Note: To help you better understand the SQL solutions presented in this article, we’ve used db-fiddle. This free online tool allows you to execute SQL queries directly against a database and see the results instantly. For each question, you’ll find a link to a corresponding db-fiddle, where you can explore the data, modify the queries, and experiment to solidify your understanding.

SQL Interview Questions Solutions

Write a query to retrieve the second-highest salary within a department. You can use functions like ROW_NUMBER() or DENSE_RANK() for this.

select *
FROM(

SELECT 
    e.employee_id,
    e.employee_name,
    d.department_id,
    d.department_name,
    e.salary,
    RANK() OVER(PARTITION BY d.department_id ORDER BY e.salary DESC) AS salary_rank
FROM Employees e
LEFT JOIN Departments d ON e.department_id = d.department_id) sal

where salary_rank = 2;

Db-fiddle Link: https://www.db-fiddle.com/f/nDanCgDc8dhQJWzmX3Cv8s/0

Create a query to calculate the daily transaction count per user, utilizing GROUP BY and COUNT() for aggregation.

SELECT 
 user_id,
    user_name,
    COUNT(*) AS transaction_count
FROM Transactions INNER JOIN  Users USING(user_id)
GROUP BY user_id;

Db-fiddle Link: https://www.db-fiddle.com/f/99faQQr3dez6VWJTvXJtZn/0

Write a query to identify projects with the highest budget-per-employee ratio by joining two tables: projects and employees. This will test your ability to perform complex joins and aggregations.

SELECT
 project_id,
    project_name,
    budget,
    no_of_emp,
    round((budget / no_of_emp),2) AS ratio
FROM 
 (
      SELECT
          p.project_id,
          p.project_name,
          p.budget,
          COUNT(e.employee_id) as no_of_emp
      FROM Projects p LEFT JOIN Employees e on p.project_id = e.project_id
      GROUP BY p.project_id, p.project_name) data
 ORDER BY ratio DESC
 LIMIT 1;

Db-fiddle Link: https://www.db-fiddle.com/f/an2pDriLARsihEqbMCfSK1/0

For More SQL Interview Questions Follow Us On:


Thank you for reading! We hope this article has been helpful in your SQL Interview Questions preparation. If you found it valuable, please share it with your network.

Also Read:-

Spread the love

Recent Posts

Mastering Pivot Table in Python: A Comprehensive Guide

Pivot tables are a powerful tool for summarizing and analyzing data, and Python’s Pandas library…

1 week ago

Data Science Interview Questions Section 3: SQL, Data Warehousing, and General Analytics Concepts

Welcome to Section 3 of our Data Science Interview Questions series! In this part, we…

2 weeks ago

Data Science Interview Questions Section 2: 25 Questions Designed To Deepen Your Understanding

Welcome back to our Data Science Interview Questions series! In the first section, we explored…

2 weeks ago

Data Science Questions Section 1: Data Visualization & BI Tools (Power BI, Tableau, etc.)

Data Science Questions in Section 1 focus on the essential concepts of Data Visualization and…

2 weeks ago

Optum Interview Questions: 30 Multiple Choice Questions (MCQs) with Answers

In this article, we’ve compiled 30 carefully selected multiple choice questions (MCQs) with answers to…

2 weeks ago

Day 15 of Learning Python for Data Science: Exploring Matplotlib Visualizations and EDA

Welcome to Day 15 of our Python for Data Science journey!On Day 15, we dived…

2 weeks ago