The table below provides summary statistics for permanent job vacancies advertised in Humberside requiring Relational Database skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Relational Database over the 6 months leading up to 11 June 2024, comparing them to the same period in the previous two years.
6 months to 11 Jun 2024
Same period 2023
Same period 2022
Rank
24
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Relational Database
2
0
0
As % of all permanent jobs advertised in Humberside
Relational Database 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 Humberside.
Permanent vacancies with a requirement for database or business intelligence skills
14
0
0
As % of all permanent jobs advertised in Humberside
10.00%
-
-
Number of salaries quoted
14
0
0
10th Percentile
£31,250
-
-
25th Percentile
£31,563
-
-
Median annual salary (50th Percentile)
£37,500
-
-
75th Percentile
£51,250
-
-
90th Percentile
-
-
-
Yorkshire median annual salary
£47,500
£52,500
£50,000
% change year-on-year
-9.52%
+5.00%
+5.26%
Relational Database Job Vacancy Trend in Humberside
Job postings citing Relational Database as a proportion of all IT jobs advertised in Humberside.
Relational Database Salary Trend in Humberside
3-month moving average salary quoted in jobs citing Relational Database in Humberside.
Relational Database Top 29 Co-occurring Skills and Capabilities in Humberside
For the 6 months to 11 June 2024, 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 permanent job ads across the Humberside region with a requirement for Relational Database.
Relational Database Co-occurring Skills and Capabilities in Humberside 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: