The table below provides summary statistics for contract job vacancies advertised in Leeds requiring Qlik Sense skills. It includes a benchmarking guide to the contractor rates offered in vacancies that cited Qlik Sense over the 6 months leading up to 1 May 2025, comparing them to the same period in the previous two years.
Qlik Sense 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 Leeds.
Contract vacancies with a requirement for database or business intelligence skills
101
129
174
As % of all contract IT jobs advertised in Leeds
21.72%
16.15%
13.08%
Number of daily rates quoted
67
104
127
10th Percentile
£400
£400
£413
25th Percentile
£438
£450
£463
Median daily rate (50th Percentile)
£525
£500
£550
Median % change year-on-year
+5.00%
-9.09%
+15.79%
75th Percentile
£575
£596
£600
90th Percentile
£738
£625
£700
West Yorkshire median daily rate
£513
£500
£550
% change year-on-year
+2.50%
-9.09%
+22.22%
Number of hourly rates quoted
2
0
0
10th Percentile
£31.50
-
-
25th Percentile
£31.54
-
-
Median hourly rate
£32.96
-
-
75th Percentile
£34.38
-
-
90th Percentile
£34.43
-
-
West Yorkshire median hourly rate
£32.96
-
-
Qlik Sense Job Vacancy Trend in Leeds
Job postings citing Qlik Sense as a proportion of all IT jobs advertised in Leeds.
Qlik Sense Contractor Daily Rate Trend in Leeds
3-month moving average daily rate quoted in jobs citing Qlik Sense in Leeds.
Qlik Sense Top 20 Co-occurring Skills and Capabilities in Leeds
For the 6 months to 1 May 2025, contractor job vacancies citing Qlik Sense 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 Leeds region with a requirement for Qlik Sense.
Qlik Sense Co-occurring Skills and Capabilities in Leeds 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:
