The following table provides summary statistics for permanent job vacancies advertised in Camberley with a requirement for SQL Server skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited SQL Server over the 6 months to 18 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 18 Apr 2024
Same period 2023
Same period 2022
Rank
13
5
15
Rank change year-on-year
-8
+10
-9
Permanent jobs citing SQL Server
3
42
1
As % of all permanent jobs advertised in Camberley
SQL Server is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Camberley with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
16
44
7
As % of all permanent jobs advertised in Camberley
19.05%
32.84%
11.11%
Number of salaries quoted
5
44
3
10th Percentile
-
£37,500
£48,500
25th Percentile
£33,000
£41,875
£50,000
Median annual salary (50th Percentile)
£35,500
£45,000
£55,000
Median % change year-on-year
-21.11%
-18.18%
-
75th Percentile
£38,750
£53,750
£57,500
90th Percentile
£53,000
-
-
Surrey median annual salary
£55,000
£55,000
£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 18 April 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:
