The table below provides summary statistics for permanent job vacancies advertised in Chessington requiring Data Warehouse skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data Warehouse over the 6 months leading up to 29 August 2025, comparing them to the same period in the previous two years.
6 months to 29 Aug 2025
Same period 2024
Same period 2023
Rank
9
25
-
Rank change year-on-year
+16
-
-
Permanent jobs citing Data Warehouse
1
7
0
As % of all permanent jobs advertised in Chessington
Data Warehouse falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Chessington.
Permanent vacancies with a requirement for database or business intelligence skills
5
8
0
As % of all permanent jobs advertised in Chessington
17.86%
7.41%
-
Number of salaries quoted
1
5
0
10th Percentile
-
-
-
25th Percentile
£62,500
-
-
Median annual salary (50th Percentile)
£65,000
£50,000
-
Median % change year-on-year
+30.00%
-
-
75th Percentile
£67,500
-
-
90th Percentile
-
-
-
Kingston Upon Thames median annual salary
£60,000
£65,000
£80,000
% change year-on-year
-7.69%
-18.75%
+39.13%
Data Warehouse Job Vacancy Trend in Chessington
Job postings citing Data Warehouse as a proportion of all IT jobs advertised in Chessington.
Data Warehouse Salary Trend in Chessington
Salary distribution trend for jobs in Chessington citing Data Warehouse.
Data Warehouse Top 25 Co-occurring Skills and Capabilities in Chessington
For the 6 months to 29 August 2025, 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 Chessington region with a requirement for Data Warehouse.
Data Warehouse Co-occurring Skills and Capabilities in Chessington 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:
