The following table provides summary statistics for permanent job vacancies advertised in Stockton-on-Tees with a requirement for Azure skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Azure over the 6 months to 9 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 9 May 2024
Same period 2023
Same period 2022
Rank
3
3
5
Rank change year-on-year
0
+2
+4
Permanent jobs citing Azure
27
21
36
As % of all permanent jobs advertised in Stockton-on-Tees
Azure is in the Cloud Services category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Stockton-on-Tees with a requirement for cloud computing skills.
Permanent vacancies with a requirement for cloud computing skills
35
26
41
As % of all permanent jobs advertised in Stockton-on-Tees
37.23%
55.32%
40.59%
Number of salaries quoted
7
18
40
10th Percentile
£40,000
£37,275
£37,225
25th Percentile
£43,125
£39,250
£39,688
Median annual salary (50th Percentile)
£57,500
£40,000
£40,000
Median % change year-on-year
+43.75%
-
+33.33%
75th Percentile
£62,500
£41,000
£50,000
90th Percentile
-
£48,900
-
Durham median annual salary
£45,000
£40,000
£40,000
% change year-on-year
+12.50%
-
+4.58%
Azure Job Vacancy Trend in Stockton-on-Tees
Job postings citing Azure as a proportion of all IT jobs advertised in Stockton-on-Tees.
Azure Salary Trend in Stockton-on-Tees
3-month moving average salary quoted in jobs citing Azure in Stockton-on-Tees.
Azure Top 20 Co-occurring Skills and Capabilities in Stockton-on-Tees
For the 6 months to 9 May 2024, 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 permanent job ads across the Stockton-on-Tees region with a requirement for Azure.
Azure Co-occurring Skills and Capabilities in Stockton-on-Tees 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:
