The following table provides summary statistics for contract job vacancies advertised in Burton-upon-Trent with a requirement for Power BI skills. Included is a benchmarking guide to the contractor rates offered in vacancies that have cited Power BI over the 6 months to 25 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 25 Apr 2024
Same period 2023
Same period 2022
Rank
2
-
-
Rank change year-on-year
-
-
-
Contract jobs citing Power BI
3
0
0
As % of all contract jobs advertised in Burton-upon-Trent
Power BI is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all contract job vacancies advertised in Burton-upon-Trent with a requirement for database or business intelligence skills.
Contract vacancies with a requirement for database or business intelligence skills
3
0
0
As % of all contract IT jobs advertised in Burton-upon-Trent
21.43%
-
-
Number of daily rates quoted
3
0
0
10th Percentile
£465
-
-
25th Percentile
£469
-
-
Median daily rate (50th Percentile)
£500
-
-
75th Percentile
£550
-
-
90th Percentile
£565
-
-
Staffordshire median daily rate
£363
£515
£450
% change year-on-year
-29.61%
+14.44%
+23.29%
Power BI Job Vacancy Trend in Burton-upon-Trent
Job postings citing Power BI as a proportion of all IT jobs advertised in Burton-upon-Trent.
Power BI Contractor Daily Rate Trend in Burton-upon-Trent
3-month moving average daily rate quoted in jobs citing Power BI in Burton-upon-Trent.
Power BI Top 13 Co-occurring Skills and Capabilities in Burton-upon-Trent
For the 6 months to 25 April 2024, 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 Burton-upon-Trent region with a requirement for Power BI.
Power BI Co-occurring Skills and Capabilities in Burton-upon-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:
