The table below provides summary statistics and salary benchmarking for jobs advertised in Bath requiring Data Transformation skills. It covers permanent job vacancies from the 6 months leading up to 5 November 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 Bath.
Permanent vacancies with a requirement for process or methodology skills
106
166
184
As % of all permanent jobs advertised in Bath
88.33%
70.94%
92.46%
Number of salaries quoted
30
109
143
10th Percentile
£29,700
£35,000
£26,800
25th Percentile
£38,000
£44,263
£37,000
Median annual salary (50th Percentile)
£55,000
£52,500
£52,500
Median % change year-on-year
+4.76%
-
-4.55%
75th Percentile
£75,000
£73,750
£63,750
90th Percentile
£99,250
£85,000
£71,250
Somerset median annual salary
£40,000
£52,000
£47,500
% change year-on-year
-23.08%
+9.47%
-5.00%
Data Transformation Job Vacancy Trend in Bath
Historical trend showing the proportion of permanent IT job postings citing Data Transformation relative to all permanent IT jobs advertised in Bath.
Data Transformation Salary Trend in Bath
Salary distribution trend for jobs in Bath citing Data Transformation.
Data Transformation Top 11 Co-Occurring Skills & Capabilities in Bath
For the 6 months to 5 November 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 Bath region with a requirement for Data Transformation.
Data Transformation Co-Occurring Skills & Capabilities in Bath 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:
