The table below provides summary statistics for contract job vacancies advertised in Stirlingshire requiring Relational Database skills. It includes a benchmarking guide to the contractor rates offered in vacancies that cited Relational Database over the 6 months leading up to 1 May 2025, comparing them to the same period in the previous two years.
6 months to 1 May 2025
Same period 2024
Same period 2023
Rank
2
-
2
Rank change year-on-year
-
-
-
Contract jobs citing Relational Database
3
0
1
As % of all contract jobs advertised in Stirlingshire
Relational Database falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring database or business intelligence skills in Stirlingshire.
Contract vacancies with a requirement for database or business intelligence skills
3
0
2
As % of all contract IT jobs advertised in Stirlingshire
37.50%
-
33.33%
Number of daily rates quoted
3
0
1
10th Percentile
-
-
-
25th Percentile
-
-
£415
Median daily rate (50th Percentile)
£400
-
£430
75th Percentile
£459
-
£445
90th Percentile
£495
-
-
Stirling median daily rate
£400
-
£430
Relational Database Job Vacancy Trend in Stirlingshire
Job postings citing Relational Database as a proportion of all IT jobs advertised in Stirlingshire.
Relational Database Contractor Daily Rate Trend in Stirlingshire
3-month moving average daily rate quoted in jobs citing Relational Database in Stirlingshire.
Relational Database Top 28 Co-occurring Skills and Capabilities in Stirlingshire
For the 6 months to 1 May 2025, 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 Stirlingshire region with a requirement for Relational Database.
Relational Database Co-occurring Skills and Capabilities in Stirlingshire 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:
