SQL Optimisation
West Midlands > Warwickshire
The table below provides summary statistics and salary benchmarking for jobs advertised in Warwickshire requiring SQL Optimisation skills. It covers permanent job vacancies from the 6 months leading up to 20 June 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
20 Jun 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
53 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing SQL Optimisation |
2 |
0 |
0 |
| As % of all permanent jobs in Warwickshire |
0.26% |
- |
- |
| As % of the Processes & Methodologies category |
0.41% |
- |
- |
| Number of salaries quoted |
0 |
0 |
0 |
| Median annual salary (50th Percentile) |
- |
- |
- |
| West Midlands median annual salary |
- |
- |
- |
SQL Optimisation falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Warwickshire.
| Permanent vacancies with a requirement for process or methodology skills |
493 |
339 |
1,045 |
| As % of all permanent jobs advertised in Warwickshire |
64.28% |
87.60% |
77.58% |
| Number of salaries quoted |
343 |
194 |
488 |
| 10th Percentile |
£30,000 |
£29,000 |
£25,750 |
| 25th Percentile |
£40,000 |
£31,250 |
£32,250 |
| Median annual salary (50th Percentile) |
£52,500 |
£52,500 |
£47,500 |
| Median % change year-on-year |
- |
+10.53% |
-7.77% |
| 75th Percentile |
£62,500 |
£63,750 |
£65,000 |
| 90th Percentile |
£80,000 |
£71,250 |
£77,500 |
| West Midlands median annual salary |
£55,000 |
£52,500 |
£50,000 |
| % change year-on-year |
+4.76% |
+5.00% |
-4.76% |
SQL Optimisation
Job Vacancy Trend in Warwickshire
Historical trend showing the proportion of permanent IT job postings citing SQL Optimisation relative to all permanent IT jobs advertised in Warwickshire.
SQL Optimisation
Co-Occurring Skills & Capabilities in Warwickshire by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
