The table below provides summary statistics and salary benchmarking for jobs advertised in Wolverhampton requiring Data Transformation skills. It covers permanent job vacancies from the 6 months leading up to 5 December 2025, with comparisons to the same periods in the previous two years.
Data Transformation 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 Wolverhampton.
Permanent vacancies with a requirement for process or methodology skills
69
80
62
As % of all permanent jobs advertised in Wolverhampton
97.18%
76.92%
92.54%
Number of salaries quoted
23
17
33
10th Percentile
£52,500
£30,300
£25,450
25th Percentile
£59,750
£42,500
£31,250
Median annual salary (50th Percentile)
£80,000
£55,000
£55,000
Median % change year-on-year
+45.45%
-
+7.32%
75th Percentile
£96,250
£62,500
£70,000
90th Percentile
£127,500
£79,050
£97,500
West Midlands median annual salary
£50,000
£55,000
£50,000
% change year-on-year
-9.09%
+10.00%
-4.76%
Data Transformation Job Vacancy Trend in Wolverhampton
Historical trend showing the proportion of permanent IT job postings citing Data Transformation relative to all permanent IT jobs advertised in Wolverhampton.
Data Transformation Salary Trend in Wolverhampton
Salary distribution trend for jobs in Wolverhampton citing Data Transformation.
Data Transformation Top 14 Co-Occurring Skills & Capabilities in Wolverhampton
For the 6 months to 5 December 2025, job vacancies citing Data Transformation 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 Wolverhampton region with a requirement for Data Transformation.
Data Transformation Co-Occurring Skills & Capabilities in Wolverhampton 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:
