The table below provides summary statistics and salary benchmarking for jobs advertised in West London requiring Qlik Sense skills. It covers permanent job vacancies from the 6 months leading up to 4 November 2025, with comparisons to the same periods 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 permanent job vacancies requiring database or business intelligence skills in West London.
Permanent vacancies with a requirement for database or business intelligence skills
55
72
62
As % of all permanent jobs advertised in West London
17.03%
21.18%
18.67%
Number of salaries quoted
43
36
59
10th Percentile
£34,200
£42,500
£45,000
25th Percentile
£45,750
£50,938
£52,500
Median annual salary (50th Percentile)
£47,000
£67,500
£60,000
Median % change year-on-year
-30.37%
+12.50%
-
75th Percentile
£67,500
£80,000
£68,750
90th Percentile
£69,550
£87,500
£80,000
London median annual salary
£77,500
£80,000
£72,500
% change year-on-year
-3.13%
+10.34%
-3.33%
Qlik Sense Job Vacancy Trend in West London
Historical trend showing the proportion of permanent IT job postings citing Qlik Sense relative to all permanent IT jobs advertised in West London.
Qlik Sense Salary Trend in West London
Salary distribution trend for jobs in West London citing Qlik Sense.
Qlik Sense Top 12 Co-Occurring Skills & Capabilities in West London
For the 6 months to 4 November 2025, job vacancies citing Qlik Sense also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the West London region with a requirement for Qlik Sense.
Qlik Sense Co-Occurring Skills & Capabilities in West London by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
