The table below provides summary statistics for permanent job vacancies advertised in Dunstable 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 16 May 2025, comparing them to the same period in the previous two years.
6 months to 16 May 2025
Same period 2024
Same period 2023
Rank
7
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Power BI
2
0
0
As % of all permanent jobs advertised in Dunstable
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 Dunstable.
Permanent vacancies with a requirement for database or business intelligence skills
6
2
2
As % of all permanent jobs advertised in Dunstable
25.00%
100.00%
25.00%
Number of salaries quoted
3
2
2
10th Percentile
£53,200
-
£46,375
25th Percentile
£61,750
£76,250
£46,563
Median annual salary (50th Percentile)
£76,000
£77,500
£48,750
Median % change year-on-year
-1.94%
+58.97%
+2.63%
75th Percentile
£84,250
£78,750
£51,563
90th Percentile
£89,200
-
£52,125
Bedfordshire median annual salary
£53,000
£50,000
£55,000
% change year-on-year
+6.00%
-9.09%
+10.00%
Power BI Job Vacancy Trend in Dunstable
Job postings citing Power BI as a proportion of all IT jobs advertised in Dunstable.
Power BI Salary Trend in Dunstable
3-month moving average salary quoted in jobs citing Power BI in Dunstable.
Power BI Top 13 Co-occurring Skills and Capabilities in Dunstable
For the 6 months to 16 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 Dunstable region with a requirement for Power BI.
Power BI Co-occurring Skills and Capabilities in Dunstable 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:
