The table below provides summary statistics for permanent job vacancies advertised in Gloucester 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 17 May 2025, comparing them to the same period in the previous two years.
6 months to 17 May 2025
Same period 2024
Same period 2023
Rank
21
69
61
Rank change year-on-year
+48
-8
+10
Permanent jobs citing Power BI
1
8
18
As % of all permanent jobs advertised in Gloucester
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 Gloucester.
Permanent vacancies with a requirement for database or business intelligence skills
21
110
94
As % of all permanent jobs advertised in Gloucester
26.58%
20.41%
16.82%
Number of salaries quoted
11
46
19
10th Percentile
£50,000
£41,250
£38,650
25th Percentile
£57,500
£50,000
£48,750
Median annual salary (50th Percentile)
£65,000
£55,000
£62,450
Median % change year-on-year
+18.18%
-11.93%
+56.13%
75th Percentile
£84,375
£61,813
£76,250
90th Percentile
£97,500
£62,500
£92,500
Gloucestershire median annual salary
£60,000
£55,000
£55,000
% change year-on-year
+9.09%
-
+17.02%
Power BI Job Vacancy Trend in Gloucester
Job postings citing Power BI as a proportion of all IT jobs advertised in Gloucester.
Power BI Salary Trend in Gloucester
3-month moving average salary quoted in jobs citing Power BI in Gloucester.
Power BI Top 10 Co-occurring Skills and Capabilities in Gloucester
For the 6 months to 17 May 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 Gloucester region with a requirement for Power BI.
Power BI Co-occurring Skills and Capabilities in Gloucester 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:
