The following table provides summary statistics for permanent job vacancies advertised in Warminster with a requirement for Relational Database skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Relational Database over the 6 months to 5 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 5 May 2024
Same period 2023
Same period 2022
Rank
2
2
-
Rank change year-on-year
0
-
-
Permanent jobs citing Relational Database
7
2
0
As % of all permanent jobs advertised in Warminster
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 permanent job vacancies advertised in Warminster with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
7
2
0
As % of all permanent jobs advertised in Warminster
70.00%
40.00%
-
Number of salaries quoted
2
2
0
Median annual salary (50th Percentile)
£43,500
£45,000
-
Median % change year-on-year
-3.33%
-
-
Wiltshire median annual salary
£52,500
£55,000
£52,500
% change year-on-year
-4.55%
+4.76%
+6.06%
Relational Database Job Vacancy Trend in Warminster
Job postings citing Relational Database as a proportion of all IT jobs advertised in Warminster.
Relational Database Salary Trend in Warminster
3-month moving average salary quoted in jobs citing Relational Database in Warminster.
Relational Database Top 23 Co-occurring Skills and Capabilities in Warminster
For the 6 months to 5 May 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 Warminster region with a requirement for Relational Database.
Relational Database Co-occurring Skills and Capabilities in Warminster 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:
