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The Company Leaderboard

hardSQLWindow Functions

The compensation dashboard at Kestrel Labs opens on a leaderboard: the five best-paid people in the company, each with their position in the company-wide pay order printed beside their salary. It is used in calibration meetings, so the position has to be a number on the row, not something the reader counts down the screen.

Policy is that equal pay means equal standing. Two people on the same salary get the same position, and the position immediately after it is skipped — so a leaderboard can legitimately read 1, 2, 2, 4.

employees — one row per person. department_id is the team they sit on, given as the matching id in departments; salary is annual pay in dollars; hire_date is the day they started, written year-month-day; manager_id is the id of the person they report to, and is NULL for anyone who reports to nobody.

id name department_id salary hire_date manager_id
1 Ava Chen 1 145000 2021-03-14 NULL
2 Ben Ortiz 1 118000 2022-06-01 1
3 Cara Novak 1 121000 2023-01-10 1
4 Deshawn Lee 2 95000 2020-09-23 NULL
5 Elin Kask 2 88000 2022-11-05 4
6 Farid Amiri 3 76000 2023-04-18 NULL
7 Grace Kim 4 132000 2021-07-30 NULL
8 Hugo Silva 4 110000 2023-02-14 7
9 Ines Duarte 4 104000 2023-08-01 7
10 Jonas Weber 2 91000 2021-12-19 4

The table already exists in the database — there is nothing to create or load.

Task: Write a query returning three columns, name, salary and salary_rank (that person's standing by pay across the whole company, 1 being the best paid), returning only the five rows with the best standing. Order the result by salary_rank ascending, and alphabetically by name for anyone sharing a standing. Two people on the same salary share a number and the next number is skipped. No salaries are equal in this data, so the five rows are the five highest paid.

Example output — shape only, on invented people and pay:

name salary salary_rank
Nils Ahlberg 210000 1
Mira Solberg 168000 2
Otto Brandt 154000 3
Yusuf Kaya 121500 4
Zoe Marchetti 98000 5

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