Microsoft SQL Server (MS SQL) East Sussex> Brighton
The following table provides summary statistics for contract job vacancies advertised in Brighton with a requirement for SQL Server skills. Included is a benchmarking guide to the contractor rates offered in vacancies that have cited SQL Server over the 6 months to 29 April 2024 with a comparison to the same period in the previous 2 years.
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 contract job vacancies advertised in Brighton with a requirement for database or business intelligence skills.
Contract vacancies with a requirement for database or business intelligence skills
14
15
38
As % of all contract IT jobs advertised in Brighton
26.92%
15.96%
24.68%
Number of daily rates quoted
12
10
25
10th Percentile
£306
£453
£375
25th Percentile
£320
£500
£575
Median daily rate (50th Percentile)
£365
£600
£625
Median % change year-on-year
-39.17%
-4.00%
+38.89%
75th Percentile
£504
£638
£668
90th Percentile
£545
£975
£780
East Sussex median daily rate
£490
£600
£600
% change year-on-year
-18.33%
-
+33.33%
SQL Server Job Vacancy Trend in Brighton
Job postings citing SQL Server as a proportion of all IT jobs advertised in Brighton.
SQL Server Contractor Daily Rate Trend in Brighton
3-month moving average daily rate quoted in jobs citing SQL Server in Brighton.
SQL Server Contractor Hourly Rate Trend in Brighton
3-month moving average hourly rates quoted in jobs citing SQL Server in Brighton.
SQL Server Top 14 Co-occurring Skills and Capabilities in Brighton
For the 6 months to 29 April 2024, contractor 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 contract job ads across the Brighton region with a requirement for SQL Server.
SQL Server Co-occurring Skills and Capabilities in Brighton 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:
