The following table provides summary statistics for contract job vacancies advertised in Carlisle with a requirement for Oracle Database skills. Included is a benchmarking guide to the contractor rates offered in vacancies that have cited Oracle Database over the 6 months to 5 May 2024 with a comparison to the same period in the previous 2 years.
Oracle 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 Carlisle with a requirement for database or business intelligence skills.
Contract vacancies with a requirement for database or business intelligence skills
6
1
1
As % of all contract IT jobs advertised in Carlisle
46.15%
100.00%
10.00%
Number of daily rates quoted
3
1
1
10th Percentile
-
-
-
25th Percentile
-
£413
£463
Median daily rate (50th Percentile)
£470
£425
£475
Median % change year-on-year
+10.59%
-10.53%
+107.05%
75th Percentile
£473
£438
£488
90th Percentile
£475
-
-
Cumbria median daily rate
£528
£425
£475
% change year-on-year
+24.24%
-10.53%
-5.00%
Number of hourly rates quoted
3
0
0
Median hourly rate
£44.74
-
-
Cumbria median hourly rate
£44.74
-
£60.00
% change year-on-year
-
-
+103.01%
Oracle Database Job Vacancy Trend in Carlisle
Job postings citing Oracle Database as a proportion of all IT jobs advertised in Carlisle.
Oracle Database Contractor Daily Rate Trend in Carlisle
3-month moving average daily rate quoted in jobs citing Oracle Database in Carlisle.
Oracle Database Top 13 Co-occurring Skills and Capabilities in Carlisle
For the 6 months to 5 May 2024, contractor 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 contract job ads across the Carlisle region with a requirement for Oracle Database.
Oracle Database Co-occurring Skills and Capabilities in Carlisle 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:
