The following table provides summary statistics for permanent job vacancies advertised in Brentford with a requirement for Power BI skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Power BI over the 6 months to 24 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 24 Apr 2024
Same period 2023
Same period 2022
Rank
23
7
33
Rank change year-on-year
-16
+26
-
Permanent jobs citing Power BI
1
13
6
As % of all permanent jobs advertised in Brentford
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 permanent job vacancies advertised in Brentford with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
4
22
53
As % of all permanent jobs advertised in Brentford
5.41%
35.48%
42.74%
Number of salaries quoted
3
2
14
10th Percentile
-
£60,250
£52,500
25th Percentile
£62,500
£64,375
£56,563
Median annual salary (50th Percentile)
£65,000
£72,500
£75,000
Median % change year-on-year
-10.34%
-3.33%
+25.00%
75th Percentile
£75,000
£79,375
£84,375
90th Percentile
£79,500
£82,750
£90,000
Hounslow median annual salary
£55,001
£46,500
£60,000
% change year-on-year
+18.28%
-22.50%
-
Power BI Job Vacancy Trend in Brentford
Job postings citing Power BI as a proportion of all IT jobs advertised in Brentford.
Power BI Salary Trend in Brentford
3-month moving average salary quoted in jobs citing Power BI in Brentford.
Power BI Top 21 Co-occurring Skills and Capabilities in Brentford
For the 6 months to 24 April 2024, 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 Brentford region with a requirement for Power BI.
Power BI Co-occurring Skills and Capabilities in Brentford 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:
