The table below provides summary statistics for permanent job vacancies advertised in Guildford 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 31 May 2025, comparing them to the same period in the previous two years.
6 months to 31 May 2025
Same period 2024
Same period 2023
Rank
14
33
58
Rank change year-on-year
+19
+25
+50
Permanent jobs citing Power BI
6
17
6
As % of all permanent jobs advertised in Guildford
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 Guildford.
Permanent vacancies with a requirement for database or business intelligence skills
18
57
50
As % of all permanent jobs advertised in Guildford
17.31%
15.20%
14.93%
Number of salaries quoted
13
56
35
10th Percentile
£53,750
£41,875
£51,000
25th Percentile
£54,043
£45,000
£52,500
Median annual salary (50th Percentile)
£57,500
£50,000
£57,500
Median % change year-on-year
+15.00%
-13.04%
-4.17%
75th Percentile
£67,500
£60,000
£67,500
90th Percentile
£96,750
£73,750
£69,500
Surrey median annual salary
£55,790
£55,000
£57,500
% change year-on-year
+1.44%
-4.35%
-
Power BI Job Vacancy Trend in Guildford
Job postings citing Power BI as a proportion of all IT jobs advertised in Guildford.
Power BI Salary Trend in Guildford
3-month moving average salary quoted in jobs citing Power BI in Guildford.
Power BI Top 15 Co-occurring Skills and Capabilities in Guildford
For the 6 months to 31 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 Guildford region with a requirement for Power BI.
Power BI Co-occurring Skills and Capabilities in Guildford 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:
