The table below provides summary statistics and contractor rates for jobs advertised in Gwent requiring Data Modelling skills. It covers contract job vacancies from the 6 months leading up to 27 November 2025, with comparisons to the same periods in the previous two years.
Data Modelling falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring process or methodology skills in Gwent.
Contract vacancies with a requirement for process or methodology skills
8
35
5
As % of all contract IT jobs advertised in Gwent
100.00%
97.22%
100.00%
Number of daily rates quoted
2
0
1
10th Percentile
£302
-
-
25th Percentile
£328
-
-
Median daily rate (50th Percentile)
£378
-
£166
Median % change year-on-year
-
-
-74.46%
75th Percentile
£428
-
-
90th Percentile
£455
-
-
South Wales median daily rate
£410
£406
£450
% change year-on-year
+0.92%
-9.72%
-10.00%
Number of hourly rates quoted
5
2
3
10th Percentile
£16.77
-
-
25th Percentile
£16.89
£20.12
£22.06
Median hourly rate
£18.18
£20.24
£23.92
Median % change year-on-year
-10.16%
-15.39%
-
75th Percentile
£19.48
£20.35
£90.88
90th Percentile
£58.79
-
£129.95
South Wales median hourly rate
£18.18
£25.00
£26.00
% change year-on-year
-27.28%
-3.85%
+30.59%
Data Modelling Job Vacancy Trend in Gwent
Historical trend showing the proportion of contract IT job postings citing Data Modelling relative to all contract IT jobs advertised in Gwent.
Data Modelling Top 24 Co-Occurring Skills & Capabilities in Gwent
For the 6 months to 27 November 2025, contractor job vacancies citing Data Modelling 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 contract job ads across the Gwent region with a requirement for Data Modelling.
Data Modelling Co-Occurring Skills & Capabilities in Gwent 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:
