The following table provides summary statistics for contract job vacancies advertised in Sunderland with a requirement for Data Warehouse skills. Included is a benchmarking guide to the contractor rates offered in vacancies that have cited Data Warehouse over the 6 months to 17 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 17 Apr 2024
Same period 2023
Same period 2022
Rank
7
-
-
Rank change year-on-year
-
-
-
Contract jobs citing Data Warehouse
1
0
0
As % of all contract jobs advertised in Sunderland
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 contract job vacancies advertised in Sunderland with a requirement for database or business intelligence skills.
Contract vacancies with a requirement for database or business intelligence skills
4
1
5
As % of all contract IT jobs advertised in Sunderland
36.36%
9.09%
29.41%
Number of daily rates quoted
3
0
5
10th Percentile
£412
-
£353
25th Percentile
£419
-
£358
Median daily rate (50th Percentile)
£431
-
£425
75th Percentile
£453
-
£488
90th Percentile
£466
-
£518
Tyne and Wear median daily rate
£475
£600
£525
% change year-on-year
-20.83%
+14.29%
+16.67%
Data Warehouse Job Vacancy Trend in Sunderland
Job postings citing Data Warehouse as a proportion of all IT jobs advertised in Sunderland.
Data Warehouse Contractor Daily Rate Trend in Sunderland
3-month moving average daily rate quoted in jobs citing Data Warehouse in Sunderland.
Data Warehouse Top 11 Co-occurring Skills and Capabilities in Sunderland
For the 6 months to 17 April 2024, 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 Sunderland region with a requirement for Data Warehouse.
Data Warehouse Co-occurring Skills and Capabilities in Sunderland 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:
