The following table provides summary statistics for permanent job vacancies advertised in Stevenage 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 27 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 27 Apr 2024
Same period 2023
Same period 2022
Rank
48
38
39
Rank change year-on-year
-10
+1
-
Permanent jobs citing Power BI
2
3
1
As % of all permanent jobs advertised in Stevenage
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 Stevenage with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
29
22
19
As % of all permanent jobs advertised in Stevenage
6.89%
8.59%
7.98%
Number of salaries quoted
27
19
2
10th Percentile
£40,500
£50,000
£46,475
25th Percentile
£45,000
£55,000
£46,813
Median annual salary (50th Percentile)
£60,000
£65,000
£48,250
Median % change year-on-year
-7.69%
+34.72%
+38.85%
75th Percentile
£76,250
£75,000
£49,313
90th Percentile
£85,000
£77,500
£49,425
Hertfordshire median annual salary
£50,000
£61,250
£60,000
% change year-on-year
-18.37%
+2.08%
+14.29%
Power BI Job Vacancy Trend in Stevenage
Job postings citing Power BI as a proportion of all IT jobs advertised in Stevenage.
Power BI Salary Trend in Stevenage
3-month moving average salary quoted in jobs citing Power BI in Stevenage.
Power BI Top 18 Co-occurring Skills and Capabilities in Stevenage
For the 6 months to 27 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 Stevenage region with a requirement for Power BI.
Power BI Co-occurring Skills and Capabilities in Stevenage 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:
