The following table provides summary statistics for permanent job vacancies advertised in Bexhill-On-Sea with a requirement for Data Warehouse skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Data Warehouse over the 6 months to 13 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 13 May 2024
Same period 2023
Same period 2022
Rank
26
10
-
Rank change year-on-year
-16
-
-
Permanent jobs citing Data Warehouse
4
1
0
As % of all permanent jobs advertised in Bexhill-On-Sea
Data Warehouse 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 Bexhill-On-Sea with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
7
6
1
As % of all permanent jobs advertised in Bexhill-On-Sea
7.53%
30.00%
50.00%
Number of salaries quoted
0
0
1
10th Percentile
-
-
-
25th Percentile
-
-
£46,250
Median annual salary (50th Percentile)
-
-
£47,500
75th Percentile
-
-
£48,750
90th Percentile
-
-
-
East Sussex median annual salary
£53,000
£55,000
£57,500
% change year-on-year
-3.64%
-4.35%
+9.52%
Data Warehouse Job Vacancy Trend in Bexhill-On-Sea
Job postings citing Data Warehouse as a proportion of all IT jobs advertised in Bexhill-On-Sea.
Data Warehouse Salary Trend in Bexhill-On-Sea
3-month moving average salary quoted in jobs citing Data Warehouse in Bexhill-On-Sea.
Data Warehouse Top 16 Co-occurring Skills and Capabilities in Bexhill-On-Sea
For the 6 months to 13 May 2024, job vacancies citing Data Warehouse 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 Bexhill-On-Sea region with a requirement for Data Warehouse.
Data Warehouse Co-occurring Skills and Capabilities in Bexhill-On-Sea 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: