The following table provides summary statistics for permanent job vacancies advertised in Reading with a requirement for Infrastructure Automation skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Infrastructure Automation over the 6 months to 2 May 2024 with a comparison to the same period in the previous 2 years.
Infrastructure Automation is in the Processes and Methodologies category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Reading with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
1,509
1,567
1,634
As % of all permanent jobs advertised in Reading
88.30%
97.03%
92.42%
Number of salaries quoted
917
817
928
10th Percentile
£30,000
£31,250
£31,250
25th Percentile
£39,380
£41,250
£44,750
Median annual salary (50th Percentile)
£54,995
£60,000
£60,000
Median % change year-on-year
-8.34%
-
-
75th Percentile
£70,000
£77,500
£75,000
90th Percentile
£80,000
£92,500
£82,875
Berkshire median annual salary
£54,000
£60,000
£58,500
% change year-on-year
-10.00%
+2.56%
+6.36%
Infrastructure Automation Job Vacancy Trend in Reading
Job postings citing Infrastructure Automation as a proportion of all IT jobs advertised in Reading.
Infrastructure Automation Salary Trend in Reading
3-month moving average salary quoted in jobs citing Infrastructure Automation in Reading.
Infrastructure Automation Top 30 Co-occurring Skills and Capabilities in Reading
For the 6 months to 2 May 2024, job vacancies citing Infrastructure Automation 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 Reading region with a requirement for Infrastructure Automation.
Infrastructure Automation Co-occurring Skills and Capabilities in Reading 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: