Data Warehouse Jobs in Teddington

Data Warehousing
Richmond upon Thames > Teddington

The table below provides summary statistics for permanent job vacancies advertised in Teddington 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 10 May 2025, comparing them to the same period in the previous two years.

6 months to
10 May 2025
Same period 2024 Same period 2023
Rank 8 - -
Rank change year-on-year - - -
Permanent jobs citing Data Warehouse 1 0 0
As % of all permanent jobs advertised in Teddington 5.26% - -
As % of the Database & Business Intelligence category 100.00% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
Richmond upon Thames median annual salary - £64,000 £57,500
% change year-on-year - +11.30% +9.52%

All Database and Business Intelligence Skills
Teddington

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 Teddington.

Permanent vacancies with a requirement for database or business intelligence skills 1 0 0
As % of all permanent jobs advertised in Teddington 5.26% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
Richmond upon Thames median annual salary £49,000 £55,000 £57,500
% change year-on-year -10.91% -4.35% -8.00%

Data Warehouse
Job Vacancy Trend in Teddington

Job postings citing Data Warehouse as a proportion of all IT jobs advertised in Teddington.

Job vacancy trend for Data Warehouse in Teddington

Data Warehouse
Salary Trend in Teddington

3-month moving average salary quoted in jobs citing Data Warehouse in Teddington.

Salary trend for Data Warehouse in Teddington

Data Warehouse
Co-occurring Skills and Capabilities in Teddington 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:

Cloud Services
1 1 (100.00%) Azure
1 1 (100.00%) Power Platform
Database & Business Intelligence
1 1 (100.00%) Azure SQL Data Warehouse
1 1 (100.00%) Power BI
1 1 (100.00%) SQL Server
General
1 1 (100.00%) Finance
1 1 (100.00%) Law
Job Titles
1 1 (100.00%) Developer
1 1 (100.00%) Systems Developer
Processes & Methodologies
1 1 (100.00%) Artificial Intelligence
1 1 (100.00%) Business Intelligence
1 1 (100.00%) Data Entry
1 1 (100.00%) Migration