The table below provides summary statistics and contractor rates for jobs advertised in Cardiff requiring Power Query skills. It covers vacancies from the 6 months leading up to 7 September 2025, with comparisons to the same periods in the previous two years.
Power Query falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring database or business intelligence skills in Cardiff.
Contract vacancies with a requirement for database or business intelligence skills
24
43
67
As % of all contract IT jobs advertised in Cardiff
12.77%
19.46%
30.04%
Number of daily rates quoted
19
33
47
10th Percentile
£255
£192
£217
25th Percentile
£308
£400
£300
Median daily rate (50th Percentile)
£445
£525
£500
Median % change year-on-year
-15.24%
+5.00%
-4.76%
75th Percentile
£483
£588
£588
90th Percentile
£520
£645
£700
South Wales median daily rate
£445
£525
£513
% change year-on-year
-15.24%
+2.44%
-6.82%
Number of hourly rates quoted
0
0
3
10th Percentile
-
-
£17.85
25th Percentile
-
-
£19.13
Median hourly rate
-
-
£22.50
Median % change year-on-year
-
-
+25.00%
75th Percentile
-
-
£24.88
90th Percentile
-
-
£25.55
South Wales median hourly rate
£22.84
-
£22.50
% change year-on-year
-
-
+25.00%
Power Query Job Vacancy Trend in Cardiff
Job postings citing Power Query as a proportion of all IT jobs advertised in Cardiff.
Power Query Daily Rate Trend in Cardiff
Contractor daily rate distribution trend for jobs in Cardiff citing Power Query.
Power Query Top 17 Co-occurring Skills and Capabilities in Cardiff
For the 6 months to 7 September 2025, contractor 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 contract job ads across the Cardiff region with a requirement for Power Query.
Power Query Co-occurring Skills and Capabilities in Cardiff 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:
