The following table provides summary statistics for permanent job vacancies advertised in Glamorgan with a requirement for Power Query skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Power Query over the 6 months to 2 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 2 May 2024
Same period 2023
Same period 2022
Rank
12
13
-
Rank change year-on-year
+1
-
-
Permanent jobs citing Power Query
3
10
0
As % of all permanent jobs advertised in Glamorgan
Power Query 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 Glamorgan with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
5
19
5
As % of all permanent jobs advertised in Glamorgan
11.63%
33.93%
6.67%
Number of salaries quoted
0
16
5
10th Percentile
-
£34,375
£37,500
25th Percentile
-
£36,250
£41,250
Median annual salary (50th Percentile)
-
£38,750
£42,500
Median % change year-on-year
-
-8.82%
-34.62%
75th Percentile
-
£42,500
£43,750
90th Percentile
-
-
-
South Wales median annual salary
£50,000
£54,128
£47,500
% change year-on-year
-7.63%
+13.95%
+9.87%
Power Query Job Vacancy Trend in Glamorgan
Job postings citing Power Query as a proportion of all IT jobs advertised in Glamorgan.
Power Query Salary Trend in Glamorgan
3-month moving average salary quoted in jobs citing Power Query in Glamorgan.
Power Query Top 17 Co-occurring Skills and Capabilities in Glamorgan
For the 6 months to 2 May 2024, job vacancies citing Power Query 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 Glamorgan region with a requirement for Power Query.
Power Query Co-occurring Skills and Capabilities in Glamorgan 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:
