The table below provides summary statistics for contract job vacancies advertised in Gaydon requiring Root Cause Analysis skills. It includes a benchmarking guide to the contractor rates offered in vacancies that cited Root Cause Analysis over the 6 months leading up to 17 May 2025, comparing them to the same period in the previous two years.
Root Cause Analysis 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 Gaydon.
Contract vacancies with a requirement for process or methodology skills
10
21
16
As % of all contract IT jobs advertised in Gaydon
58.82%
84.00%
84.21%
Number of daily rates quoted
6
15
14
10th Percentile
-
£311
£400
25th Percentile
£220
£314
£422
Median daily rate (50th Percentile)
£279
£500
£496
Median % change year-on-year
-44.25%
+0.76%
-9.77%
75th Percentile
£414
£532
£597
90th Percentile
£443
£539
£600
Warwickshire median daily rate
£500
£580
£550
% change year-on-year
-13.79%
+5.45%
+4.76%
Number of hourly rates quoted
1
0
0
10th Percentile
-
-
-
25th Percentile
£56.25
-
-
Median hourly rate
£57.50
-
-
75th Percentile
£58.75
-
-
90th Percentile
-
-
-
Warwickshire median hourly rate
£26.59
£17.50
£18.50
% change year-on-year
+51.94%
-5.41%
-7.50%
Root Cause Analysis Job Vacancy Trend in Gaydon
Job postings citing Root Cause Analysis as a proportion of all IT jobs advertised in Gaydon.
Root Cause Analysis Top 15 Co-occurring Skills and Capabilities in Gaydon
For the 6 months to 17 May 2025, contractor job vacancies citing Root Cause Analysis 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 contract job ads across the Gaydon region with a requirement for Root Cause Analysis.
Root Cause Analysis Co-occurring Skills and Capabilities in Gaydon 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:
