The table below provides summary statistics and contractor rates for jobs advertised in Burgess Hill requiring GitHub skills. It covers contract job vacancies from the 6 months leading up to 16 October 2025, with comparisons to the same periods in the previous two years.
GitHub falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring cloud computing skills in Burgess Hill.
Contract vacancies with a requirement for cloud computing skills
13
2
2
As % of all contract IT jobs advertised in Burgess Hill
41.94%
16.67%
11.11%
Number of daily rates quoted
2
2
2
10th Percentile
£281
£321
£183
25th Percentile
£283
£334
£188
Median daily rate (50th Percentile)
£285
£363
£203
Median % change year-on-year
-21.38%
+78.79%
-
75th Percentile
£288
£384
£223
90th Percentile
£289
£394
£232
West Sussex median daily rate
£496
£455
£518
% change year-on-year
+9.01%
-12.16%
+9.05%
Number of hourly rates quoted
11
0
0
10th Percentile
-
-
-
25th Percentile
£15.50
-
-
Median hourly rate
£16.05
-
-
75th Percentile
£20.69
-
-
90th Percentile
-
-
-
West Sussex median hourly rate
£16.05
-
£22.75
% change year-on-year
-
-
+12.21%
GitHub Job Vacancy Trend in Burgess Hill
Historical trend showing the proportion of contract IT job postings citing GitHub relative to all contract IT jobs advertised in Burgess Hill.
GitHub Daily Rate Trend in Burgess Hill
Contractor daily rate distribution trend for jobs in Burgess Hill citing GitHub.
GitHub Top 24 Co-Occurring Skills & Capabilities in Burgess Hill
For the 6 months to 16 October 2025, contractor job vacancies citing GitHub 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 Burgess Hill region with a requirement for GitHub.
GitHub Co-Occurring Skills & Capabilities in Burgess Hill 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: