The following table provides summary statistics for contract job vacancies advertised in Swindon 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 5 May 2024 with a comparison to the same period in the previous 2 years.
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 Swindon with a requirement for database or business intelligence skills.
Contract vacancies with a requirement for database or business intelligence skills
15
45
51
As % of all contract IT jobs advertised in Swindon
12.30%
19.91%
16.29%
Number of daily rates quoted
6
38
32
10th Percentile
£304
£396
£389
25th Percentile
£305
£453
£460
Median daily rate (50th Percentile)
£445
£498
£515
Median % change year-on-year
-10.55%
-3.30%
+8.32%
75th Percentile
£747
£525
£578
90th Percentile
£828
£570
£588
Wiltshire median daily rate
£503
£500
£515
% change year-on-year
+0.60%
-2.82%
+2.90%
Data Warehouse Job Vacancy Trend in Swindon
Job postings citing Data Warehouse as a proportion of all IT jobs advertised in Swindon.
Data Warehouse Contractor Daily Rate Trend in Swindon
3-month moving average daily rate quoted in jobs citing Data Warehouse in Swindon.
Data Warehouse Contractor Hourly Rate Trend in Swindon
3-month moving average hourly rates quoted in jobs citing Data Warehouse in Swindon.
Data Warehouse Top 12 Co-occurring Skills and Capabilities in Swindon
For the 6 months to 5 May 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 Swindon region with a requirement for Data Warehouse.
Data Warehouse Co-occurring Skills and Capabilities in Swindon 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: