The following table provides summary statistics for permanent job vacancies advertised in Gloucestershire with a requirement for Virtual Machines skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Virtual Machines over the 6 months to 23 September 2020 with a comparison to the same period in the previous 2 years.
Virtual Machines is in the System Software category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Gloucestershire with a requirement for system software skills.
Permanent vacancies with a requirement for system software skills
As % of all permanent IT jobs advertised in Gloucestershire
Number of salaries quoted
Median annual salary
Median salary % change year-on-year
South West median annual salary
% change year-on-year
Virtual Machines Job Vacancy Trend in Gloucestershire
Job postings citing Virtual Machines as a proportion of all IT jobs advertised in Gloucestershire.
Virtual Machines Salary Trend in Gloucestershire
3-month moving average salary quoted in jobs citing Virtual Machines in Gloucestershire.
Virtual Machines Job Locations in Gloucestershire
The table below looks at the demand and provides a guide to the median salaries quoted in IT jobs citing Virtual Machines within the Gloucestershire region over the 6 months to 23 September 2020.
The 'Rank Change' column provides an indication of the change in demand within each location based on the same 6 month period last year.
Virtual Machines Top 13 Co-occurring IT Skills in Gloucestershire
For the 6 months to 23 September 2020, IT jobs citing Virtual Machines also mentioned the following skills in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Gloucestershire region with a requirement for Virtual Machines.
Virtual Machines Co-occurring IT Skills in Gloucestershire by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same job type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories: