Database Optimisation
Suffolk > Bury St Edmunds
The table below provides summary statistics and salary benchmarking for jobs advertised in Bury St Edmunds requiring Database Optimisation skills. It covers permanent job vacancies from the 6 months leading up to 9 May 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
9 May 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
15 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing Database Optimisation |
1 |
0 |
0 |
| As % of all permanent jobs in Bury St Edmunds |
1.75% |
- |
- |
| As % of the Processes & Methodologies category |
2.27% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| Median annual salary (50th Percentile) |
£47,739 |
- |
- |
| Suffolk median annual salary |
£47,739 |
- |
- |
Database 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 Bury St Edmunds.
| Permanent vacancies with a requirement for process or methodology skills |
44 |
6 |
61 |
| As % of all permanent jobs advertised in Bury St Edmunds |
77.19% |
60.00% |
76.25% |
| Number of salaries quoted |
26 |
5 |
17 |
| 10th Percentile |
£31,250 |
£37,100 |
£41,250 |
| 25th Percentile |
£35,375 |
£45,875 |
£42,500 |
| Median annual salary (50th Percentile) |
£42,500 |
£46,750 |
£45,000 |
| Median % change year-on-year |
-9.09% |
+3.89% |
- |
| 75th Percentile |
£47,625 |
£65,000 |
£52,500 |
| 90th Percentile |
£47,682 |
£67,250 |
£58,750 |
| Suffolk median annual salary |
£45,000 |
£66,100 |
£40,000 |
| % change year-on-year |
-31.92% |
+65.25% |
- |
Database Optimisation
Job Vacancy Trend in Bury St Edmunds
Historical trend showing the proportion of permanent IT job postings citing Database Optimisation relative to all permanent IT jobs advertised in Bury St Edmunds.
Database Optimisation
Co-Occurring Skills & Capabilities in Bury St Edmunds 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:
