The following table provides summary statistics for contract job vacancies advertised in Doncaster with a requirement for Relational Database skills. Included is a benchmarking guide to the contractor rates offered in vacancies that have cited Relational Database over the 6 months to 24 April 2024 with a comparison to the same period in the previous 2 years.
Relational Database 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 Doncaster with a requirement for database or business intelligence skills.
Contract vacancies with a requirement for database or business intelligence skills
2
2
11
As % of all contract IT jobs advertised in Doncaster
8.33%
12.50%
26.19%
Number of daily rates quoted
1
1
9
10th Percentile
-
-
£363
25th Percentile
£313
-
£365
Median daily rate (50th Percentile)
£325
£190
£425
Median % change year-on-year
+71.05%
-55.29%
+25.93%
75th Percentile
£338
-
£438
90th Percentile
-
-
£440
South Yorkshire median daily rate
£550
£550
£450
% change year-on-year
-
+22.22%
+38.46%
Number of hourly rates quoted
0
0
1
10th Percentile
-
-
-
25th Percentile
-
-
£17.87
Median hourly rate
-
-
£19.25
75th Percentile
-
-
£20.62
90th Percentile
-
-
-
South Yorkshire median hourly rate
-
-
£19.25
% change year-on-year
-
-
+40.53%
Relational Database Job Vacancy Trend in Doncaster
Job postings citing Relational Database as a proportion of all IT jobs advertised in Doncaster.
Relational Database Top 21 Co-occurring Skills and Capabilities in Doncaster
For the 6 months to 24 April 2024, contractor job vacancies citing Relational Database 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 Doncaster region with a requirement for Relational Database.
Relational Database Co-occurring Skills and Capabilities in Doncaster 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:
