The table below provides summary statistics for permanent job vacancies advertised in Brighton requiring Data Transformation skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data Transformation over the 6 months leading up to 12 May 2025, comparing them to the same period 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 Brighton.
Permanent vacancies with a requirement for process or methodology skills
166
352
615
As % of all permanent jobs advertised in Brighton
86.01%
81.67%
94.04%
Number of salaries quoted
127
328
479
10th Percentile
£41,250
£26,250
£33,750
25th Percentile
£45,625
£39,828
£42,500
Median annual salary (50th Percentile)
£57,500
£55,000
£55,000
Median % change year-on-year
+4.55%
-
-6.78%
75th Percentile
£66,875
£67,500
£66,875
90th Percentile
£85,000
£80,000
£80,000
East Sussex median annual salary
£50,000
£52,500
£55,000
% change year-on-year
-4.76%
-4.55%
-4.35%
Data Transformation Job Vacancy Trend in Brighton
Job postings citing Data Transformation as a proportion of all IT jobs advertised in Brighton.
Data Transformation Salary Trend in Brighton
3-month moving average salary quoted in jobs citing Data Transformation in Brighton.
Data Transformation Salary Histogram in Brighton
Salary distribution for jobs citing Data Transformation in Brighton over the 6 months to 12 May 2025.
Data Transformation Top 9 Co-occurring Skills and Capabilities in Brighton
For the 6 months to 12 May 2025, job vacancies citing Data Transformation 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 Brighton region with a requirement for Data Transformation.
Data Transformation Co-occurring Skills and Capabilities in Brighton 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:
