The table below provides summary statistics for contract job vacancies advertised in Stoke-on-Trent 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 11 August 2025, comparing them to the same period in the previous two years.
6 months to 11 Aug 2025
Same period 2024
Same period 2023
Rank
4
10
14
Rank change year-on-year
+6
+4
-1
Contract jobs citing Power BI
1
1
1
As % of all contract jobs advertised in Stoke-on-Trent
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 Stoke-on-Trent.
Contract vacancies with a requirement for database or business intelligence skills
1
3
11
As % of all contract IT jobs advertised in Stoke-on-Trent
7.14%
8.82%
19.64%
Number of daily rates quoted
1
3
10
10th Percentile
-
-
£479
25th Percentile
£863
-
£503
Median daily rate (50th Percentile)
£875
£250
£515
Median % change year-on-year
+250.00%
-51.46%
+14.38%
75th Percentile
£888
£294
£656
90th Percentile
-
£320
£693
Staffordshire median daily rate
£875
£425
£500
% change year-on-year
+105.88%
-15.00%
+10.99%
Power BI Job Vacancy Trend in Stoke-on-Trent
Job postings citing Power BI as a proportion of all IT jobs advertised in Stoke-on-Trent.
Power BI Contractor Daily Rate Trend in Stoke-on-Trent
3-month moving average daily rate quoted in jobs citing Power BI in Stoke-on-Trent.
Power BI Top 9 Co-occurring Skills and Capabilities in Stoke-on-Trent
For the 6 months to 11 August 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 Stoke-on-Trent region with a requirement for Power BI.
Power BI Co-occurring Skills and Capabilities in Stoke-on-Trent 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:
