For comparison with the information above, the following table provides summary statistics for all contract IT job vacancies in Swansea. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of contract jobs in our overall sample.
Contract vacancies in Swansea with a recognized job title
29
28
23
% of contract IT jobs with a recognized job title
78.38%
100.00%
95.83%
Number of daily rates quoted
26
25
18
10th Percentile
£196
£167
£177
25th Percentile
£206
£425
£183
Median daily rate (50th Percentile)
£475
£500
£294
Median % change year-on-year
-5.00%
+70.21%
-38.16%
75th Percentile
£488
£550
£383
90th Percentile
£638
£565
£500
West Wales median daily rate
£475
£500
£294
% change year-on-year
-5.00%
+70.21%
-38.16%
Number of hourly rates quoted
3
2
1
10th Percentile
£16.65
£17.20
-
25th Percentile
£17.06
£17.88
£14.86
Median hourly rate
£18.50
£20.00
£15.42
Median % change year-on-year
-7.50%
+29.74%
+2.77%
75th Percentile
£19.38
£22.38
£15.97
90th Percentile
£19.45
£23.20
-
West Wales median hourly rate
£13.85
£20.00
£15.42
% change year-on-year
-30.78%
+29.74%
+2.77%
Business Analyst Job Vacancy Trend in Swansea
Historical trend showing the proportion of contract IT job postings featuring 'Business Analyst' in the job title relative to all contract IT jobs advertised in Swansea.
Business Analyst Daily Rate Trend in Swansea
Contractor daily rate distribution trend for Business Analyst job vacancies in Swansea.
Business Analyst Skill Set Top 9 Co-Occurring Skills & Capabilities in Swansea
For the 6 months to 5 December 2025, Business Analyst contract job roles required 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 Swansea region featuring Business Analyst in the job title.
Business Analyst Skill Set Co-Occurring Skills & Capabilities in Swansea 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:
