9 Global Partners SQL Interview Questions (Updated 2024)
At Global Partners, SQL is crucial for analyzing transactional data to uncover financial trends, allowing them to make informed decisions about pricing and investment strategies. They also use it to manage oil inventory data, enabling them to track stock levels and improve supply chain processes for better efficiency, this is why Global Partners asks SQL questions in interviews for Data Analyst, Data Science, and BI jobs.
So, to help you prep, here’s 9 Global Partners SQL interview questions – how many can you solve?
9 Global Partners SQL Interview Questions
SQL Question 1: Calculate the Quarterly Sales Revenue Per Region
Assume that Global Partners is a multinational corporation with several branches worldwide. As a data analyst at Global Partners, you are asked to calculate the quarterly sales revenue for each region from the 1st quarter of 2020 to the 2nd quarter of 2022. The sales data is stored in a table.
The table has the following columns:
- (integer): Unique identifier for each sale
- (string): Branch region
- (date): Date the sale was made
- (decimal): Revenue made from the sale
Example Input:
| sale_id | region | sale_date | revenue |
|---|---|---|---|
| 8151 | North America | 02/01/2020 | 1500.5 |
| 8642 | North America | 08/20/2020 | 2600.5 |
| 3159 | Europe | 04/10/2020 | 4500.7 |
| 4230 | Asia | 06/30/2021 | 2650.8 |
| 5467 | North America | 11/30/2021 | 3500.0 |
Answer:
To solve this problem, we can use SQL window functions. PostgreSQL supports several types of window functions such as aggregation (avg, sum, count, etc.) and ranking (row_number, rank, etc.).
Here’s an example of an SQL query in PostgreSQL that would answer this question:
In this query, we use the function to get the quarter and the year from the .
The function is used to calculate the total revenue for each region for each quarter of each year.
The clause is used to divide into partitions to which the function is applied.
The clause filters out sales that occurred outside of the specified date range.
The result is then ordered by year, quarter, and region.
For more window function practice, try this Uber SQL Interview Question within DataLemur's online SQL coding environment:
Check out Global Partners' news section to stay updated on their latest announcements and initiatives that are shaping the business landscape! Following Global Partners' progress can give you a clearer picture of how they are navigating challenges and seizing opportunities in their sector.
SQL Question 2: Department vs. Company Salary
Imagine you had a table of Global Partners employee salary data, along with which department they were in. Write a query to compare the average salary of employees in each department to the company's average salary. Return the comparison result as 'higher', 'lower', or 'same' for each department. Display the department ID, payment month (in MM-YYYY format), and the comparison.
Write a SQL query for this problem interactively on DataLemur:
The answer is LONG – 30+ lines of SQL. You can find a detailed solution with hints here: Department vs. Company Salary.
SQL Question 3: What does it mean to perform a self-join?
A self-join is a type of JOIN where a table is joined to itself. To execute a self-join, you must include the table name twice in the clause and assign a different alias to each instance. You can then join the two copies of the table using a JOIN clause, and use a clause to specify the relationship between the rows.
For instance, suppose you had website visitor data for Global Partners, exported from the company's Google Analytics account. To assist the web-dev team, you needed to analyze pairs of pages for UX or navigational issues. As part of that analysis, you wanted to generate all pairs of URLs, but needed to exclude pairs where both URLs were the same since that is not a valid pair.
You could use the following self-join:
This query returns the url of each page () along with the url of the page that referred to it (). The self-join is performed using the field, which specifies the id of the page that referred the visitor to the current page, and avoids any pages that referred themself (aka data anomalies).
SQL Question 4: Filter Customers by Region and Purchase Amount
Global Partners is an international company with a vast database of customers. You are given a database that contains information about the customers' regional location, purchase amounts, and purchase dates. Your task is to write a query that filters out customers who are in 'Region A' or 'Region B', and whose total purchase amount is higher than $1000 within the last 30 days.
Here is the sample data to get you started:
example input:
| customer_id | region | purchase_date | amount |
|---|---|---|---|
| 123 | Region A | 09/01/2022 | 500 |
| 456 | Region B | 09/20/2022 | 700 |
| 789 | Region C | 09/10/2022 | 2000 |
| 321 | Region A | 10/10/2022 | 500 |
| 654 | Region B | 10/20/2022 | 1500 |
| 987 | Region A | 08/30/2022 | 600 |
Example Output:
| customer_id | region | total_purchaseAmount_in_30_days |
|---|---|---|
| 321 | Region A | 500 |
| 654 | Region B | 1500 |
Answer:
This query first filters the customers who belong to either Region A or Region B. The condition then filters the records that are within the last 30 days. The clause groups these records on the basis of and . The clause is like the clause but it filters out the groups rather than individual records. In this case, filters out the groups (, ) whose total amount is higher than $1000.
SQL Question 5: What does do?
combines the results from two or more SELECT statements, but only returns the rows that are exactly the same between the two sets.
For example, let's use to find all of Global Partners' Facebook video ads with more than 10k views that are also being run on YouTube:
SQL Question 6: Average Transaction Amount by Branch
As an analyst for Global Partners, a multinational conglomerate dealing in various sectors like finance, real estate, technology etc., you've been tasked with finding out the average transaction value of each branch of the company for last fiscal year. This will contribute in understanding the profitability and performance of various branches.
Provide a SQL query to solve this problem.
Example Input:
| transaction_id | branch_id | transaction_date | amount |
|---|---|---|---|
| 9701 | 101 | 03/01/2020 | 15000 |
| 8212 | 102 | 04/18/2020 | 20000 |
| 6353 | 101 | 05/11/2020 | 30000 |
| 7242 | 103 | 08/21/2020 | 40000 |
| 8417 | 102 | 12/15/2020 | 35000 |
| 5912 | 101 | 07/07/2020 | 25000 |
| 7421 | 103 | 09/18/2020 | 15000 |
| 8121 | 102 | 11/27/2020 | 50000 |
Example Output:
| branch_id | avg_transaction_amount |
|---|---|
| 101 | 23333.33 |
| 102 | 35000.00 |
| 103 | 27500.00 |
Answer:
In this SQL query, we are grouping the transactions table by . The function is used calculate the average transaction amount in each group (i.e., for each branch) where only the transactions from the year of 2020 are considered for the calculation. This gives us the average transaction amount for different branches of the company "Global Partners".
To practice a very similar question try this interactive Stripe Repeated Payments Question which is similar for analyzing transaction data or this Amazon Average Review Ratings Question which is similar for understanding average values by groupings.
SQL Question 7: Do and a typically produce equivalent results?
For all practical purposes, and do NOT produce the same results.
While both are similar in that they combine two tables, you can think of joins as increasing the width of the resulting table (you'll have more columns in the result set for a left/inner/right join), whereas a union is used to combine rows which increases the height of the result set but keeps the column count the same.
If your familiar with set operations, you can think of a as set addition, whereas a is set multiplication.
SQL Question 8: Click-Through and Conversion Rate for Global Partners Digital Ads
Global Partners is analyzing the performance of their digital marketing campaign. They want to understand both the click-through rate of the digital ads and the conversion rate from viewing a product to adding a product to the cart.
The table records each instance a user views a digital ad, with columns , , and . The table records each time a user clicks on a digital ad, with columns , , and . The table records every time a user views a product, with columns , , and . Lastly, the table records every time a user adds a product to their cart, with columns , , and .
Example Input:
| ad_id | user_id | view_time |
|---|---|---|
| 1 | 123 | 06/08/2022 00:00:00 |
| 2 | 265 | 06/10/2022 00:00:00 |
| 3 | 362 | 06/18/2022 00:00:00 |
| 1 | 192 | 07/26/2022 00:00:00 |
| 2 | 981 | 07/05/2022 00:00:00 |
Example Input:
| ad_id | user_id | click_time |
|---|---|---|
| 1 | 123 | 06/08/2022 00:00:00 |
| 2 | 362 | 06/18/2022 00:00:00 |
| 1 | 192 | 07/26/2022 00:00:00 |
Example Input:
| user_id | product_id | view_time |
|---|---|---|
| 123 | 50001 | 06/08/2022 00:00:00 |
| 265 | 50002 | 06/10/2022 00:00:00 |
| 362 | 50003 | 06/18/2022 00:00:00 |
| 192 | 50004 | 07/26/2022 00:00:00 |
| 981 | 50005 | 07/29/2022 00:00:00 |
Example Input:
| user_id | product_id | add_time |
|---|---|---|
| 123 | 50001 | 06/08/2022 00:00:00 |
| 362 | 50003 | 06/18/2022 00:00:00 |
| 192 | 50004 | 07/26/2022 00:00:00 |
Example Output:
| ad_id | click_through_rate | conversion_rate |
|---|---|---|
| 1 | 66.67% | 66.67% |
| 2 | 50.00% | 0.00% |
| 3 | 0.00% | 0.00% |
Answer:
The above query first creates two Common Table Expressions (CTEs): one for the click-through rate calculation and another for the conversion rate calculation. Both CTEs count the total views and successful actions. The main statement then calculates the rates by dividing clicks by views for the click-through rate and divides adds by views for the conversion rate and presents the result as a percentage.
To solve a similar problem about calculating rates, solve this TikTok SQL question on DataLemur's interactive coding environment:
SQL Question 9: Identify Top Revenue Generating Customers
You are a business analyst at Global Partners, a multinational corporation which deals in different kinds of products. Your customer details are stored in a table and the purchase transactions are stored in a table. You need to write a SQL query to identify the top 3 customers who have generated the highest revenue for a given product .
Example Input:
| customer_id | name | join_date | |
|---|---|---|---|
| 87121 | John Doe | john.doe@gmail.com | 01/06/2021 00:00 |
| 78101 | Jane Smith | jane.smith@gmail.com | 02/19/2022 00:00 |
| 62511 | Alex Brown | alex.brown@gmail.com | 05/11/2021 00:00 |
| 52932 | Ella Davis | ella.davis@gmail.com | 03/28/2022 00:00 |
Example Input:
| transaction_id | customer_id | product_id | purchase_date | amount |
|---|---|---|---|---|
| 171256 | 87121 | 312 | 06/05/2021 00:00 | 250.00 |
| 197285 | 78101 | 312 | 06/12/2022 00:00 | 300.00 |
| 181295 | 62511 | 312 | 06/11/2021 00:00 | 150.00 |
| 192365 | 52932 | 312 | 07/26/2022 00:00 | 200.00 |
Answer:
This query joins the and tables together on the field to correlate the customers with their respective transactions. It then filters the transactions by the product ID (312 in this case). The function is used in combination with to calculate the total amount paid by each customer, which is then ordered in descending order to identify the top customers. The clause then restricts the output to the top 3 customers.
Since join questions come up routinely during SQL interviews, try this interactive Snapchat Join SQL question:
Global Partners SQL Interview Tips
Assuming that you've already got basic SQL skills, the next best tip we have to prepare for the Global Partners SQL interview is to solve as many practice SQL interview questions as you can! In addition to solving the earlier Global Partners SQL interview questions, you should also solve the 200+ tricky sql questions on DataLemur which come from companies like Amazon, JP Morgan, and industrial and electrical distribution companies like Global Partners.
Each exercise has hints to guide you, fully explained answers along with a discussion board to see how others solved it and crucially, there's an interactive SQL code editor so you can right online code up your SQL query and have it checked.
To prep for the Global Partners SQL interview it is also a great idea to practice interview questions from other industrial and electrical distribution companies like:
However, if your SQL coding skills are weak, forget about jumping right into solving questions – go learn SQL with this free SQL tutorial.
This tutorial covers SQL topics like handling dates and filtering with LIKE – both of which come up routinely during Global Partners SQL interviews.
Global Partners Data Science Interview Tips
What Do Global Partners Data Science Interviews Cover?
In addition to SQL interview questions, the other types of questions covered in the Global Partners Data Science Interview are:
- Statistics and Probability Questions
- Python or R Coding Questions
- Product & Business Analytics Questions
- ML Modelling Questions
- Behavioral Interview Questions focussed on Global Partners company values
How To Prepare for Global Partners Data Science Interviews?
To prepare for Global Partners Data Science interviews read the book Ace the Data Science Interview because it's got:
- 201 interview questions taken from tech companies like Google & Microsoft
- a refresher covering SQL, AB Testing & ML
- over 1000+ reviews on Amazon & 4.5-star rating
Also focus on the behavioral interview – prep for it using this list of behavioral interview questions for Data Scientists.