The table below provides summary statistics for permanent job vacancies advertised in Wakefield requiring Power BI skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Power BI over the 6 months leading up to 9 June 2025, comparing them to the same period in the previous two years.
6 months to 9 Jun 2025
Same period 2024
Same period 2023
Rank
9
23
27
Rank change year-on-year
+14
+4
-7
Permanent jobs citing Power BI
1
3
20
As % of all permanent jobs advertised in Wakefield
Power BI 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 Wakefield.
Permanent vacancies with a requirement for database or business intelligence skills
1
15
39
As % of all permanent jobs advertised in Wakefield
1.54%
14.29%
16.32%
Number of salaries quoted
0
14
12
10th Percentile
-
£36,250
£41,250
25th Percentile
-
£37,250
£41,438
Median annual salary (50th Percentile)
-
£51,250
£43,000
Median % change year-on-year
-
+19.19%
-4.44%
75th Percentile
-
£63,750
£53,750
90th Percentile
-
-
£57,500
West Yorkshire median annual salary
£60,000
£50,750
£52,500
% change year-on-year
+18.23%
-3.33%
-2.78%
Power BI Job Vacancy Trend in Wakefield
Job postings citing Power BI as a proportion of all IT jobs advertised in Wakefield.
Power BI Salary Trend in Wakefield
3-month moving average salary quoted in jobs citing Power BI in Wakefield.
Power BI Top 10 Co-occurring Skills and Capabilities in Wakefield
For the 6 months to 9 June 2025, 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 permanent job ads across the Wakefield region with a requirement for Power BI.
Power BI Co-occurring Skills and Capabilities in Wakefield 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:
