The following table provides summary statistics for permanent job vacancies advertised in Burton-upon-Trent with a requirement for MySQL skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited MySQL over the 6 months to 10 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 10 May 2024
Same period 2023
Same period 2022
Rank
22
18
-
Rank change year-on-year
-4
-
-
Permanent jobs citing MySQL
1
2
0
As % of all permanent jobs advertised in Burton-upon-Trent
MySQL is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Burton-upon-Trent with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
19
18
0
As % of all permanent jobs advertised in Burton-upon-Trent
28.36%
31.58%
-
Number of salaries quoted
16
17
0
10th Percentile
£54,375
£45,750
-
25th Percentile
£56,250
£50,000
-
Median annual salary (50th Percentile)
£60,000
£55,000
-
Median % change year-on-year
+9.09%
-
-
75th Percentile
£63,750
£62,251
-
90th Percentile
-
£62,500
-
Staffordshire median annual salary
£50,000
£45,000
£45,000
% change year-on-year
+11.11%
-
+20.00%
MySQL Job Vacancy Trend in Burton-upon-Trent
Job postings citing MySQL as a proportion of all IT jobs advertised in Burton-upon-Trent.
MySQL Salary Trend in Burton-upon-Trent
3-month moving average salary quoted in jobs citing MySQL in Burton-upon-Trent.
MySQL Top 10 Co-occurring Skills and Capabilities in Burton-upon-Trent
For the 6 months to 10 May 2024, job vacancies citing MySQL also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Burton-upon-Trent region with a requirement for MySQL.
MySQL Co-occurring Skills and Capabilities in Burton-upon-Trent by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
