The following table provides summary statistics for permanent job vacancies advertised in Sunderland 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 30 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 30 May 2024
Same period 2023
Same period 2022
Rank
36
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Power BI
1
0
0
As % of all permanent jobs advertised in Sunderland
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 Sunderland with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
47
1
7
As % of all permanent jobs advertised in Sunderland
27.33%
1.35%
7.45%
Number of salaries quoted
41
1
7
10th Percentile
£45,000
-
£34,800
25th Percentile
£62,000
-
£35,000
Median annual salary (50th Percentile)
£70,000
£72,000
£40,000
Median % change year-on-year
-2.78%
+80.00%
-20.00%
75th Percentile
£73,250
-
£45,000
90th Percentile
£86,250
-
-
Tyne and Wear median annual salary
£50,000
£55,000
£45,000
% change year-on-year
-9.09%
+22.22%
-
Power BI Job Vacancy Trend in Sunderland
Job postings citing Power BI as a proportion of all IT jobs advertised in Sunderland.
Power BI Salary Trend in Sunderland
3-month moving average salary quoted in jobs citing Power BI in Sunderland.
Power BI Top 16 Co-occurring Skills and Capabilities in Sunderland
For the 6 months to 30 May 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 Sunderland region with a requirement for Power BI.
Power BI Co-occurring Skills and Capabilities in Sunderland 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:
