The table below provides summary statistics and salary benchmarking for jobs advertised in Burton-upon-Trent requiring Workflow skills. It covers permanent job vacancies from the 6 months leading up to 27 October 2025, with comparisons to the same periods in the previous two years.
Workflow 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 Burton-upon-Trent.
Permanent vacancies with a requirement for process or methodology skills
64
39
51
As % of all permanent jobs advertised in Burton-upon-Trent
87.67%
81.25%
92.73%
Number of salaries quoted
38
22
33
10th Percentile
£23,000
£22,620
£24,550
25th Percentile
£36,250
£22,969
£26,750
Median annual salary (50th Percentile)
£52,250
£35,000
£40,000
Median % change year-on-year
+49.29%
-12.50%
-5.88%
75th Percentile
£60,000
£58,750
£55,000
90th Percentile
£63,575
£60,000
£71,750
Staffordshire median annual salary
£42,500
£45,000
£41,500
% change year-on-year
-5.56%
+8.43%
-7.78%
Workflow Job Vacancy Trend in Burton-upon-Trent
Historical trend showing the proportion of permanent IT job postings citing Workflow relative to all permanent IT jobs advertised in Burton-upon-Trent.
Workflow Salary Trend in Burton-upon-Trent
Salary distribution trend for jobs in Burton-upon-Trent citing Workflow.
Workflow Salary Histogram in Burton-upon-Trent
Salary distribution for jobs citing Workflow in Burton-upon-Trent over the 6 months to 27 October 2025.
Workflow Top 8 Co-Occurring Skills & Capabilities in Burton-upon-Trent
For the 6 months to 27 October 2025, job vacancies citing Workflow also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Burton-upon-Trent region with a requirement for Workflow.
Workflow Co-Occurring Skills & Capabilities in Burton-upon-Trent 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:
