The table below provides summary statistics and contractor rates for jobs advertised in Wakefield requiring Power BI skills. It covers contract job vacancies from the 6 months leading up to 19 November 2025, with comparisons to the same periods in the previous two years.
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 Wakefield.
Contract vacancies with a requirement for database or business intelligence skills
2
2
6
As % of all contract IT jobs advertised in Wakefield
11.11%
7.69%
6.45%
Number of daily rates quoted
2
0
4
10th Percentile
-
-
£311
25th Percentile
£463
-
£384
Median daily rate (50th Percentile)
£475
-
£488
Median % change year-on-year
-
-
+52.34%
75th Percentile
£488
-
£541
90th Percentile
-
-
£546
West Yorkshire median daily rate
£518
£500
£500
% change year-on-year
+3.50%
-
-4.76%
Number of hourly rates quoted
0
0
1
10th Percentile
-
-
-
25th Percentile
-
-
£15.32
Median hourly rate
-
-
£16.11
75th Percentile
-
-
£16.90
90th Percentile
-
-
-
West Yorkshire median hourly rate
-
£27.50
£21.31
% change year-on-year
-
+29.05%
+15.44%
Power BI Job Vacancy Trend in Wakefield
Historical trend showing the proportion of contract IT job postings citing Power BI relative to all contract IT jobs advertised in Wakefield.
Power BI Daily Rate Trend in Wakefield
Contractor daily rate distribution trend for jobs in Wakefield citing Power BI.
Power BI Top 13 Co-Occurring Skills & Capabilities in Wakefield
For the 6 months to 19 November 2025, contractor job vacancies citing Power BI also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all contract job ads across the Wakefield region with a requirement for Power BI.
Power BI Co-Occurring Skills & Capabilities in Wakefield by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
