The following table provides summary statistics for permanent job vacancies advertised in Slough with a requirement for Enterprise Data Warehouse skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Enterprise Data Warehouse over the 6 months to 19 April 2024 with a comparison to the same period in the previous 2 years.
Enterprise 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 Slough with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
38
56
31
As % of all permanent jobs advertised in Slough
26.21%
19.79%
14.98%
Number of salaries quoted
37
30
28
10th Percentile
£41,500
£50,925
£43,200
25th Percentile
£48,750
£58,750
£50,000
Median annual salary (50th Percentile)
£55,000
£66,250
£60,000
Median % change year-on-year
-16.98%
+10.42%
+9.09%
75th Percentile
£71,250
£71,250
£63,750
90th Percentile
-
£71,375
£76,975
Berkshire median annual salary
£65,000
£65,000
£60,000
% change year-on-year
-
+8.33%
+9.09%
Enterprise Data Warehouse Job Vacancy Trend in Slough
Job postings citing Enterprise Data Warehouse as a proportion of all IT jobs advertised in Slough.
Enterprise Data Warehouse Salary Trend in Slough
3-month moving average salary quoted in jobs citing Enterprise Data Warehouse in Slough.
Enterprise Data Warehouse Top 25 Co-occurring Skills and Capabilities in Slough
For the 6 months to 19 April 2024, job vacancies citing Enterprise 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 Slough region with a requirement for Enterprise Data Warehouse.
Enterprise Data Warehouse Co-occurring Skills and Capabilities in Slough 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:
