The table below provides summary statistics for permanent job vacancies advertised in Camberley 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 23 August 2025, comparing them to the same period in the previous two years.
6 months to 23 Aug 2025
Same period 2024
Same period 2023
Rank
6
17
18
Rank change year-on-year
+11
+1
+2
DemandTrendPermanent jobs citing Power BI
16
1
2
As % of all permanent jobs advertised in Camberley
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 Camberley.
DemandTrendPermanent vacancies with a requirement for database or business intelligence skills
18
16
2
As % of all permanent jobs advertised in Camberley
41.86%
18.39%
2.82%
Number of salaries quoted
12
7
2
10th Percentile
-
£34,350
-
25th Percentile
£35,000
£56,375
-
Median annual salary (50th Percentile)
£40,000
£80,000
£40,000
Median % change year-on-year
-50.00%
+100.00%
-42.86%
75th Percentile
-
£82,500
-
90th Percentile
£67,000
-
-
Surrey median annual salary
£57,500
£50,000
£60,000
% change year-on-year
+15.00%
-16.67%
+9.09%
Power BI Job Vacancy Trend in Camberley
Job postings citing Power BI as a proportion of all IT jobs advertised in Camberley.
Power BI Salary Trend in Camberley
Salary distribution trend for jobs in Camberley citing Power BI.
Power BI Top 17 Co-occurring Skills and Capabilities in Camberley
For the 6 months to 23 August 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 Camberley region with a requirement for Power BI.
Power BI Co-occurring Skills and Capabilities in Camberley 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:
