The table below provides summary statistics for permanent job vacancies advertised in Camberley requiring SQL Server skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited SQL Server over the 6 months leading up to 17 June 2024, comparing them to the same period in the previous two years.
6 months to 17 Jun 2024
Same period 2023
Same period 2022
Rank
14
7
-
Rank change year-on-year
-7
-
-
Permanent jobs citing SQL Server
3
22
0
As % of all permanent jobs advertised in Camberley
SQL Server falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Camberley.
Permanent vacancies with a requirement for database or business intelligence skills
15
22
10
As % of all permanent jobs advertised in Camberley
15.96%
20.95%
12.99%
Number of salaries quoted
4
22
6
10th Percentile
-
-
£52,500
25th Percentile
£33,000
£42,500
£58,125
Median annual salary (50th Percentile)
£34,750
£52,500
£75,000
Median % change year-on-year
-33.81%
-30.00%
+50.75%
75th Percentile
£42,438
£53,750
-
90th Percentile
£54,475
-
-
Surrey median annual salary
£55,000
£57,500
£57,500
% change year-on-year
-4.35%
-
+4.55%
SQL Server Job Vacancy Trend in Camberley
Job postings citing SQL Server as a proportion of all IT jobs advertised in Camberley.
SQL Server Salary Trend in Camberley
3-month moving average salary quoted in jobs citing SQL Server in Camberley.
SQL Server Top 6 Co-occurring Skills and Capabilities in Camberley
For the 6 months to 17 June 2024, job vacancies citing SQL Server 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 Camberley region with a requirement for SQL Server.
SQL Server Co-occurring Skills and Capabilities in Camberley 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:
