Data Warehouse Jobs in Soho

Data Warehousing
City of Westminster > Soho

The table below provides summary statistics for permanent job vacancies advertised in Soho 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 5 May 2025, comparing them to the same period in the previous two years.

6 months to
5 May 2025
Same period 2024 Same period 2023
Rank 1 - -
Rank change year-on-year - - -
Permanent jobs citing Data Warehouse 2 0 0
As % of all permanent jobs advertised in Soho 100.00% - -
As % of the Database & Business Intelligence category 100.00% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
City of Westminster median annual salary - £70,000 £69,447
% change year-on-year - +0.80% -

All Database and Business Intelligence Skills
Soho

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 Soho.

Permanent vacancies with a requirement for database or business intelligence skills 2 0 1
As % of all permanent jobs advertised in Soho 100.00% - 50.00%
Number of salaries quoted 0 0 1
10th Percentile - - -
25th Percentile - - £62,500
Median annual salary (50th Percentile) - - £65,000
Median % change year-on-year - - -3.70%
75th Percentile - - £67,500
90th Percentile - - -
City of Westminster median annual salary £60,250 £75,000 £92,500
% change year-on-year -19.67% -18.92% +60.87%

Data Warehouse
Job Vacancy Trend in Soho

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

Job vacancy trend for Data Warehouse in Soho

Data Warehouse
Salary Trend in Soho

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

Salary trend for Data Warehouse in Soho

Data Warehouse
Co-occurring Skills and Capabilities in Soho 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 2 (100.00%) Power Platform
Database & Business Intelligence
1 2 (100.00%) Looker
1 2 (100.00%) Power BI
Job Titles
1 2 (100.00%) Business Intelligence Developer
1 2 (100.00%) Developer
1 2 (100.00%) Power BI Developer
Processes & Methodologies
1 2 (100.00%) Agile
1 2 (100.00%) Analytics
1 2 (100.00%) Business Intelligence
1 2 (100.00%) Coaching
1 2 (100.00%) Data Analysis
1 2 (100.00%) Data Integration
1 2 (100.00%) Data Modelling
1 2 (100.00%) Data Pipeline
1 2 (100.00%) Data Security
1 2 (100.00%) Data Visualisation
1 2 (100.00%) Data-Driven Decision Making
1 2 (100.00%) Decision-Making
1 2 (100.00%) ETL
1 2 (100.00%) Mentoring
1 2 (100.00%) Performance Tuning
1 2 (100.00%) Visualisation
1 2 (100.00%) Web Analytics
Programming Languages
1 2 (100.00%) Data Analysis Expressions
1 2 (100.00%) SQL