9 Bright HealthCare SQL Interview Questions (Updated 2024)
Bright HealthCare employees use SQL to analyze healthcare data, identifying trends that can lead to better patient outcomes. They also rely on SQL to manage patient data, ensuring that health services are delivered more effectively and efficiently, which is why Bright HealthCare asks SQL coding questions in interviews for Data Science and Data Engineering positions.
To help you study for the Bright HealthCare SQL interview, we've collected 9 Bright Health Group SQL interview questions in this blog.
9 Bright Health Group SQL Interview Questions
SQL Question 1: Calculate Monthly Average Rating of Doctors at Bright HealthCare
Given a table containing patient reviews for doctors at Bright HealthCare, write a SQL query to calculate the average review score () each doctor () received for each month (). The table has the following structure:
Sample Input:
| review_id | patient_id | review_date | doctor_id | stars |
|---|---|---|---|---|
| 101 | 1 | 01/02/2022 | 200 | 5 |
| 102 | 2 | 01/15/2022 | 200 | 4 |
| 103 | 3 | 01/31/2022 | 300 | 3 |
| 104 | 4 | 02/01/2022 | 200 | 2 |
| 105 | 5 | 02/28/2022 | 300 | 1 |
We need to extract the month from the date, and then group by it with to calculate the mean review score.
Answer:
This SQL query uses the function to get the month out of the . This allows you to group the results by month and . Within each group, the function calculates the average stars (or average rating).
Example Output:
| month | doctor_id | avg_rating |
|---|---|---|
| 1 | 200 | 4.50 |
| 1 | 300 | 3.00 |
| 2 | 200 | 2.00 |
| 2 | 300 | 1.00 |
The output result gives the average review score each doctor received for each month.
To practice a similar window function question on DataLemur's free interactive coding environment, try this Google SQL Interview Question:
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SQL Question 2: Well Paid Employees
Given a table of Bright HealthCare employee salaries, write a SQL query to find all employees who make more money than their own boss.
Bright HealthCare Example Input:
| employee_id | name | salary | department_id | manager_id |
|---|---|---|---|---|
| 1 | Emma Thompson | 3800 | 1 | |
| 2 | Daniel Rodriguez | 2230 | 1 | 10 |
| 3 | Olivia Smith | 8000 | 1 | 8 |
| 4 | Noah Johnson | 6800 | 2 | 8 |
| 5 | Sophia Martinez | 1750 | 1 | 10 |
| 8 | William Davis | 7000 | 2 | NULL |
| 10 | James Anderson | 4000 | 1 | NULL |
Example Output:
| employee_id | employee_name |
|---|---|
| 3 | Olivia Smith |
This is the output because Olivia Smith earns $8,000, surpassing her manager, William Davis who earns 7,800.
Solve this problem and run your code right in DataLemur's online SQL environment:
Answer:
First, we perform a SELF-JOIN where we treat the first table () as the managers' table and the second table () as the employees' table. Then we use a clause to filter the results, ensuring we only get employees whose salaries are higher than their manager's salary.
If the code above is confusing, you can find a step-by-step solution here: Highly-Paid Employees.
SQL Question 3: What does the keyword do?
The keyword removes duplicates from a query.
Suppose you had a table of Bright HealthCare customers, and wanted to figure out which cities the customers lived in, but didn't want duplicate results.
table:
| name | city |
|---|---|
| Akash | SF |
| Brittany | NYC |
| Carlos | NYC |
| Diego | Seattle |
| Eva | SF |
| Faye | Seattle |
You could write a query like this to filter out the repeated cities:
Your result would be:
| city |
|---|
| SF |
| NYC |
| Seattle |
SQL Question 4: Designing a Database for Medical Services
Bright HealthCare provides various medical services to its patients. The company tracks the services provided, the physicians providing the services, the patients receiving the services, and the payment details.
Design the database for tracking these services, and identify which indexes would be useful.
Sample Input:
| service_id | service_name | service_cost |
|---|---|---|
| 1 | General Consultation | 50 |
| 2 | Surgery | 500 |
| 3 | Therapy Session | 200 |
Sample Input:
| physician_id | physician_name | specialization |
|---|---|---|
| 1001 | Dr. Smith | General Practice |
| 1002 | Dr. Foster | Surgeon |
| 1003 | Dr. Miller | Psychologist |
Sample Input:
| patient_id | patient_name | date_of_birth |
|---|---|---|
| 2001 | John Doe | 01/01/1980 |
| 2002 | Jane Doe | 02/02/1990 |
| 2003 | Jim Doe | 03/03/2000 |
Sample Input:
| payment_id | patient_id | service_id | physician_id | amount_paid | date_of_service |
|---|---|---|---|---|---|
| 5001 | 2001 | 1 | 1001 | 50 | 01/01/2023 |
| 5002 | 2002 | 2 | 1002 | 500 | 01/02/2023 |
| 5003 | 2003 | 3 | 1003 | 200 | 01/03/2023 |
| 5004 | 2001 | 2 | 1002 | 500 | 01/04/2023 |
| 5005 | 2002 | 1 | 1001 | 50 | 01/05/2023 |
Write a PostgreSQL query to find the total earnings of each physician for the previous month.
Answer:
This query groups records by physician name and calculates the sum of payments () for each physician. It filters out records to show only the services performed in the previous month. Overall, this provides a view of the total earnings by each physician for the last month.
SQL Question 5: What is the purpose of the constraint, and when might it be helpful to use it?
The constraint is used to enforce rules on the data in a specific column. If a row is inserted or updated with data that does not follow the constraint's rule, the operation will fail. The constraint is often used with other constraints, such as or , to ensure that data meets certain conditions. You may want to use a constraint in your database if you want to maintain the quality and reliability of your data by ensuring that it meets specific criteria.
For example, you might use a constraint to ensure that a column contains only positive numbers or that a date is within a certain range.
SQL Question 6: Filter Customers Based on Subscription Status and Last Visit
As a data analyst at Bright HealthCare, you have been asked to generate a list of customers who are either subscribed to our health service, or who have visited our facility in the last 60 days, or both. Your results should not include customers who are blocked due to any reason.
Our table is structured as follows:
Example Input:
| customer_id | first_name | last_name | is_subscribed | last_visit_date | is_blocked |
|---|---|---|---|---|---|
| 101 | John | Doe | True | 2022-07-01 | False |
| 102 | Jane | Smith | False | 2022-08-01 | True |
| 103 | William | Brown | False | 2022-09-01 | False |
| 104 | Emma | Jones | True | 2022-06-30 | False |
| 105 | Mia | Taylor | True | 2022-09-02 | True |
Answer:
This SQL query filters down our table to only return rows (i.e., customers) where the customer is either subscribed () or has visited our facility in the last 60 days (). It also ensures that the customers are not blocked (). The clause uses both the and SQL command for multiple boolean conditions.
SQL Question 7: What are database views, and when would you use them?
Database views are created to provide customized, read-only versions of your data that you can query just like a regular table. So why even use one if they're so similar to a regular table?
Views are advantageous for several reasons:
- views allow you to create a simpler versions of your data for specific users (such as hiding extraneous columns/rows from business analysts since they're relics of the Data Engineering pipelines setup)
- views help you comply with data security requirements by hiding sensitive data from certain users (important for regulated industries like govermnet and healthcare!)
- views can improve performance for complicated queries by pre-computing the results and caching them in a view (which is often faster than re-executing the original query)
SQL Question 8: Calculate Average Cost of Services per Month
As a Bright HealthCare data analyst, your task is to calculate and report the average cost of all Healthcare services provided each month. Please use the table containing columns: , , , and .
Example Input:
| service_id | patient_id | service_date | service_cost |
|---|---|---|---|
| 1001 | 473 | 01/04/2022 00:00:00 | 300 |
| 2081 | 530 | 01/13/2022 00:00:00 | 500 |
| 3056 | 891 | 02/27/2022 00:00:00 | 400 |
| 1045 | 680 | 03/02/2022 00:00:00 | 200 |
| 2017 | 730 | 03/24/2022 00:00:00 | 350 |
Example Output:
| month | avg_service_cost |
|---|---|
| 1 | 400 |
| 2 | 400 |
| 3 | 275 |
Answer:
In this SQL query, we use the function of PostgreSQL to get the month component from the column. The function is used to calculate the average of for each group specified by the clause. The is used to round the average service cost to 2 decimal places. This query will return the average cost of services provided each month.
SQL Question 9: Filtering Customer Records
Bright HealthCare has a large customer database, and for analysis purpose, they are interested in filtering out the customers from a specific city i.e., Minneapolis. Construct an SQL query to retrieve the records of all customers who live in Minneapolis.
Example Input:
| customer_id | first_name | last_name | city | state | zip_code |
|---|---|---|---|---|---|
| 12345 | John | Doe | Minneapolis | MN | 55401 |
| 45678 | Jane | Smith | Denver | CO | 80205 |
| 12890 | Tom | Brown | Minneapolis | MN | 55402 |
| 50005 | Mia | Davis | Atlanta | GA | 30310 |
| 90786 | Paul | Hill | Minneapolis | MN | 55403 |
Answer:
This query selects all the information (represented by ) from the table for records where the city column matches 'Minneapolis'. The LKE keyword is used in conjunction with the clause to search for the specific pattern within the city column in the customers database.
Preparing For The Bright HealthCare SQL Interview
The key to acing a Bright HealthCare SQL interview is to practice, practice, and then practice some more! Besides solving the above Bright HealthCare SQL interview questions, you should also solve the 200+ SQL exercises on DataLemur which come from companies like FAANG (FB, Apple, Amazon, Netflix, Google).
Each exercise has hints to guide you, step-by-step solutions and crucially, there's an online SQL coding environment so you can easily right in the browser your SQL query and have it checked.
To prep for the Bright HealthCare SQL interview it is also a great idea to practice SQL problems from other healthcare and pharmaceutical companies like:
- Dentsply Sirona SQL questions
- Covetrus SQL questions
- Elanco Animal Health SQL questions
- PerkinElmer SQL questions
In case your SQL coding skills are weak, forget about going right into solving questions – improve your SQL foundations with this DataLemur SQL Tutorial.
This tutorial covers topics including LEFT vs. RIGHT JOIN and filtering data with WHERE – both of these show up routinely in SQL job interviews at Bright HealthCare.
Bright Health Group Data Science Interview Tips
What Do Bright HealthCare Data Science Interviews Cover?
Beyond writing SQL queries, the other types of problems to practice for the Bright HealthCare Data Science Interview include:
- Statistics Interview Questions
- Python Pandas or R Coding Questions
- Product Metrics Interview Questions
- ML Interview Questions
- Behavioral & Resume-Based Questions
How To Prepare for Bright HealthCare Data Science Interviews?
To prepare for the Bright HealthCare Data Science interview make sure you have a strong understanding of the company's values and company principles – this will be important for acing the behavioral interview. For the technical Data Science interviews, get ready by reading Ace the Data Science Interview. The book's got:
- 201 Interview Questions from FAANG tech companies
- A Refresher covering Python, SQL & ML
- Amazing Reviews (1000+ 5-star reviews on Amazon)