Oracle BI Publisher (formerly Oracle XML Publisher) South East> Kent
The following table provides summary statistics for permanent job vacancies advertised in Kent with a requirement for Oracle BI Publisher skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Oracle BI Publisher over the 6 months to 3 May 2024 with a comparison to the same period in the previous 2 years.
Oracle BI Publisher 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 Kent with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
303
138
318
As % of all permanent jobs advertised in Kent
20.34%
12.01%
24.33%
Number of salaries quoted
231
89
189
10th Percentile
£32,500
£26,000
£26,250
25th Percentile
£41,250
£38,000
£31,250
Median annual salary (50th Percentile)
£55,000
£52,500
£42,500
Median % change year-on-year
+4.76%
+23.53%
-
75th Percentile
£65,250
£60,000
£53,750
90th Percentile
£71,500
£64,000
£65,500
South East median annual salary
£55,000
£57,000
£55,000
% change year-on-year
-3.51%
+3.64%
+4.76%
Oracle BI Publisher Job Vacancy Trend in Kent
Job postings citing Oracle BI Publisher as a proportion of all IT jobs advertised in Kent.
Oracle BI Publisher Salary Trend in Kent
3-month moving average salary quoted in jobs citing Oracle BI Publisher in Kent.
Oracle BI Publisher Top 12 Co-occurring Skills and Capabilities in Kent
For the 6 months to 3 May 2024, job vacancies citing Oracle BI Publisher 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 Kent region with a requirement for Oracle BI Publisher.
Oracle BI Publisher Co-occurring Skills and Capabilities in Kent 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:
