Dataford
Interview QuestionsInterview GuidesExperiencesMock InterviewsPricing
Get started
Write Rolling Three-Month Averages SQL
00:00
5 left

Write Rolling Three-Month Averages SQL

MediumSQL · PostgreSQL

Problem

Commonwealth Bank of Australia wants to monitor monthly transaction activity for customers using its NetBank analytics data. Write a PostgreSQL query that calculates each eligible customer's monthly transaction total and rolling three-month average.

Requirements

  1. Include active retail customers, including months with no qualifying transactions.
  2. Aggregate only transactions with status = 'POSTED' from active accounts during January through April 2024.
  3. Treat missing monthly activity and NULL amounts as zero.
  4. Calculate the average of the current month and the two preceding calendar months for each customer. Round the result to two decimal places.
  5. Return one row per customer per month, ordered by customer ID and month.

Schema

customers
ColumnTypeDescription
customer_idPKINTEGERCustomer identifier
customer_nameVARCHAR(100)Customer name
customer_typeVARCHAR(20)Retail or business classification
statusVARCHAR(20)Customer status
accounts
ColumnTypeDescription
account_idPKINTEGERAccount identifier
customer_idINTEGEROwning customer identifier
account_typeVARCHAR(30)Account product type
statusVARCHAR(20)Account status
transactions
ColumnTypeDescription
transaction_idPKINTEGERTransaction identifier
account_idINTEGERRelated account identifier
transaction_dateDATETransaction date
amountNUMERIC(12,2)Transaction amount
statusVARCHAR(20)Transaction processing status
Tablescustomersaccountstransactions
Interviewer

Your question is Write Rolling Three-Month Averages SQL. Start with the requirements and the three tables in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

You need to log in / sign up to run or submit.
CodePostgreSQL
You need to log in / sign up to run or submit.Ln 1
Run your query to see results here.