NeenOpal Canada wants a workforce age analysis across its Canadian offices. Write a PostgreSQL query to identify employees with the second-highest distinct age as of 2026-01-01.
Active and whose office is in Canada.DENSE_RANK(), a distinct-age subquery, or a MAX()-based approach.| Column | Type | Description |
|---|---|---|
| employee_idPK | INT | Employee identifier |
| full_name | VARCHAR(100) | Employee full name |
| date_of_birth | DATE | Employee date of birth |
| employment_status | VARCHAR(20) | Current employment status |
| department_id | INT | Reference to the employee department |
| office_id | INT | Reference to the employee office |
| Column | Type | Description |
|---|---|---|
| department_idPK | INT | Department identifier |
| department_name | VARCHAR(100) | Department name |
| Column | Type | Description |
|---|---|---|
| office_idPK | INT | Office identifier |
| office_name | VARCHAR(100) | Office name |
| country | VARCHAR(50) | Office country |