The table below provides summary statistics for contract job vacancies advertised in Westminster requiring Power BI skills. It includes a benchmarking guide to the contractor rates offered in vacancies that cited Power BI over the 6 months leading up to 1 May 2025, comparing them to the same period in the previous two years.
6 months to 1 May 2025
Same period 2024
Same period 2023
Rank
6
2
10
Rank change year-on-year
-4
+8
-
Contract jobs citing Power BI
1
6
1
As % of all contract jobs advertised in Westminster
Power BI falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring database or business intelligence skills in Westminster.
Contract vacancies with a requirement for database or business intelligence skills
2
6
2
As % of all contract IT jobs advertised in Westminster
15.38%
75.00%
8.70%
Number of daily rates quoted
2
0
2
10th Percentile
£467
-
£583
25th Percentile
£474
-
£594
Median daily rate (50th Percentile)
£498
-
£625
Median % change year-on-year
-
-
-10.71%
75th Percentile
£519
-
£644
90th Percentile
£526
-
£648
City of Westminster median daily rate
£498
£650
£600
% change year-on-year
-23.46%
+8.33%
-9.43%
Power BI Job Vacancy Trend in Westminster
Job postings citing Power BI as a proportion of all IT jobs advertised in Westminster.
Power BI Contractor Daily Rate Trend in Westminster
3-month moving average daily rate quoted in jobs citing Power BI in Westminster.
Power BI Top 23 Co-occurring Skills and Capabilities in Westminster
For the 6 months to 1 May 2025, contractor job vacancies citing Power BI 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 Westminster region with a requirement for Power BI.
Power BI Co-occurring Skills and Capabilities in Westminster 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:
