The table below provides summary statistics for permanent job vacancies advertised in Burton-upon-Trent requiring MATLAB skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited MATLAB over the 6 months leading up to 20 May 2025, comparing them to the same period in the previous two years.
6 months to 20 May 2025
Same period 2024
Same period 2023
Rank
16
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing MATLAB
1
0
0
As % of all permanent jobs advertised in Burton-upon-Trent
MATLAB falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring coding skills in Burton-upon-Trent.
Permanent vacancies with a requirement for coding skills
9
27
19
As % of all permanent jobs advertised in Burton-upon-Trent
13.64%
38.03%
35.19%
Number of salaries quoted
6
24
18
10th Percentile
£32,500
£48,625
£28,400
25th Percentile
£35,000
£52,188
£38,438
Median annual salary (50th Percentile)
£45,000
£58,750
£51,250
Median % change year-on-year
-23.40%
+14.63%
+36.67%
75th Percentile
£47,500
£62,500
£57,500
90th Percentile
-
£63,750
£62,251
Staffordshire median annual salary
£48,750
£48,750
£45,000
% change year-on-year
-
+8.33%
+8.43%
MATLAB Job Vacancy Trend in Burton-upon-Trent
Job postings citing MATLAB as a proportion of all IT jobs advertised in Burton-upon-Trent.
MATLAB Salary Trend in Burton-upon-Trent
3-month moving average salary quoted in jobs citing MATLAB in Burton-upon-Trent.
MATLAB Top 20 Co-occurring Skills and Capabilities in Burton-upon-Trent
For the 6 months to 20 May 2025, job vacancies citing MATLAB 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 MATLAB.
MATLAB 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:
