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SQL Moving Average With Windows
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SQL Moving Average With Windows

MediumSQL · PostgreSQL

Problem

J.P. Morgan Chase wants a transaction trend view for customer analytics. Write a PostgreSQL query that calculates a 30-day moving average of each customer’s daily transaction total.

Use the current transaction date and the preceding 29 calendar days, so the window covers 30 calendar days in total. Average only days represented in the aggregated transaction data, and ignore NULL transaction amounts through PostgreSQL aggregate behavior.

Requirements

  1. Join customers to transactions and exclude transactions without a matching customer.
  2. Aggregate multiple transactions for the same customer and date into one daily_amount.
  3. Calculate the customer-level moving average with a window function using a 30-day calendar frame.
  4. Return results ordered by customer ID and transaction date.

Schema

customers
ColumnTypeDescription
customer_idPKINTEGERUnique customer identifier
customer_nameVARCHAR(100)Customer display name
segmentVARCHAR(30)Customer segment
transactions
ColumnTypeDescription
transaction_idPKINTEGERUnique transaction identifier
customer_idINTEGERReferences customers.customer_id
transaction_dateDATEDate of the transaction
amountNUMERIC(12,2)Transaction amount
Tablescustomerstransactions
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