The table below provides summary statistics for contract job vacancies advertised in the Home Counties requiring Data Warehouse skills. It includes a benchmarking guide to the contractor rates offered in vacancies that cited Data Warehouse over the 6 months leading up to 1 May 2025, comparing them to the same period in the previous two years.
6 months to 1 May 2025
Same period 2024
Same period 2023
Rank
3
-
-
Rank change year-on-year
-
-
-
Contract jobs citing Data Warehouse
1
0
0
As % of all contract jobs advertised in the Home Counties
Data Warehouse falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring database or business intelligence skills in the Home Counties.
Contract vacancies with a requirement for database or business intelligence skills
1
5
2
As % of all contract IT jobs advertised in the Home Counties
14.29%
62.50%
8.00%
Number of daily rates quoted
0
1
1
Median daily rate (50th Percentile)
-
£475
£450
Median % change year-on-year
-
+5.56%
-30.77%
South East median daily rate
£500
£480
£513
% change year-on-year
+4.17%
-6.34%
+2.50%
Data Warehouse Job Vacancy Trend in the Home Counties
Job postings citing Data Warehouse as a proportion of all IT jobs advertised in the Home Counties.
Data Warehouse Contractor Daily Rate Trend in the Home Counties
3-month moving average daily rate quoted in jobs citing Data Warehouse in the Home Counties.
Data Warehouse Top 18 Co-occurring Skills and Capabilities in the Home Counties
For the 6 months to 1 May 2025, contractor 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 contract job ads across the Home Counties region with a requirement for Data Warehouse.
Data Warehouse Co-occurring Skills and Capabilities in the Home Counties 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:
