The following table provides summary statistics for contract job vacancies advertised in Burton-upon-Trent with a requirement for Azure skills. Included is a benchmarking guide to the contractor rates offered in vacancies that have cited Azure over the 6 months to 5 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 5 May 2024
Same period 2023
Same period 2022
Rank
4
5
4
Rank change year-on-year
+1
-1
-1
Contract jobs citing Azure
1
1
4
As % of all contract jobs advertised in Burton-upon-Trent
Azure is in the Cloud Services category. The following table is for comparison with the above and provides summary statistics for all contract job vacancies advertised in Burton-upon-Trent with a requirement for cloud computing skills.
Contract vacancies with a requirement for cloud computing skills
6
5
11
As % of all contract IT jobs advertised in Burton-upon-Trent
40.00%
62.50%
55.00%
Number of daily rates quoted
4
3
9
10th Percentile
£428
£453
£265
25th Percentile
£450
£456
£281
Median daily rate (50th Percentile)
£488
£500
£488
Median % change year-on-year
-2.50%
+2.56%
-3.70%
75th Percentile
£538
£563
£588
90th Percentile
£560
£570
£589
Staffordshire median daily rate
£363
£263
£413
% change year-on-year
+38.10%
-36.36%
+3.13%
Azure Job Vacancy Trend in Burton-upon-Trent
Job postings citing Azure as a proportion of all IT jobs advertised in Burton-upon-Trent.
Azure Contractor Daily Rate Trend in Burton-upon-Trent
3-month moving average daily rate quoted in jobs citing Azure in Burton-upon-Trent.
Azure Top 10 Co-occurring Skills and Capabilities in Burton-upon-Trent
For the 6 months to 5 May 2024, contractor job vacancies citing Azure 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 Burton-upon-Trent region with a requirement for Azure.
Azure Co-occurring Skills and Capabilities in Burton-upon-Trent 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: