The table below provides summary statistics for permanent job vacancies advertised in Daventry requiring Oracle Database skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Oracle Database over the 6 months leading up to 2 May 2025, comparing them to the same period in the previous two years.
Oracle 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 Daventry.
Permanent vacancies with a requirement for database or business intelligence skills
2
4
3
As % of all permanent jobs advertised in Daventry
8.00%
17.39%
8.33%
Number of salaries quoted
2
4
3
10th Percentile
£50,875
£63,625
-
25th Percentile
£54,063
£65,313
£52,500
Median annual salary (50th Percentile)
£63,750
£67,500
£55,000
Median % change year-on-year
-5.56%
+22.73%
-
75th Percentile
£69,063
£68,750
£57,500
90th Percentile
£69,625
-
-
Northamptonshire median annual salary
£51,250
£48,750
£52,500
% change year-on-year
+5.13%
-7.14%
+5.00%
Oracle Database Job Vacancy Trend in Daventry
Job postings citing Oracle Database as a proportion of all IT jobs advertised in Daventry.
Oracle Database Salary Trend in Daventry
3-month moving average salary quoted in jobs citing Oracle Database in Daventry.
Oracle Database Salary Histogram in Daventry
Salary distribution for jobs citing Oracle Database in Daventry over the 6 months to 2 May 2025.
Oracle Database Top 9 Co-occurring Skills and Capabilities in Daventry
For the 6 months to 2 May 2025, job vacancies citing Oracle 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 Daventry region with a requirement for Oracle Database.
Oracle Database Co-occurring Skills and Capabilities in Daventry 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:
