The following table provides summary statistics for permanent job vacancies advertised in Dorchester 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 25 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 25 Apr 2024
Same period 2023
Same period 2022
Rank
16
10
8
Rank change year-on-year
-6
-2
-
Permanent jobs citing SQL Server
2
7
4
As % of all permanent jobs advertised in Dorchester
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 Dorchester with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
5
10
8
As % of all permanent jobs advertised in Dorchester
10.64%
17.86%
27.59%
Number of salaries quoted
2
7
5
10th Percentile
-
£48,500
-
25th Percentile
£42,500
-
£26,750
Median annual salary (50th Percentile)
£45,000
£50,000
£28,500
Median % change year-on-year
-10.00%
+75.44%
-
75th Percentile
£47,500
-
£48,750
90th Percentile
-
-
-
Dorset median annual salary
£52,500
£50,000
£50,000
% change year-on-year
+5.00%
-
+17.65%
SQL Server Job Vacancy Trend in Dorchester
Job postings citing SQL Server as a proportion of all IT jobs advertised in Dorchester.
SQL Server Salary Trend in Dorchester
3-month moving average salary quoted in jobs citing SQL Server in Dorchester.
SQL Server Top 7 Co-occurring Skills and Capabilities in Dorchester
For the 6 months to 25 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 Dorchester region with a requirement for SQL Server.
SQL Server Co-occurring Skills and Capabilities in Dorchester 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:
