The table below provides summary statistics for permanent job vacancies advertised in Liverpool requiring Qlik Sense skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Qlik Sense over the 6 months leading up to 31 May 2025, comparing them to the same period in the previous two years.
6 months to 31 May 2025
Same period 2024
Same period 2023
Rank
41
85
-
Rank change year-on-year
+44
-
-
Permanent jobs citing Qlik Sense
1
3
0
As % of all permanent jobs advertised in Liverpool
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 Liverpool.
Permanent vacancies with a requirement for database or business intelligence skills
50
233
157
As % of all permanent jobs advertised in Liverpool
18.45%
20.67%
17.56%
Number of salaries quoted
46
153
66
10th Percentile
-
£31,250
£28,875
25th Percentile
£31,250
£36,250
£38,684
Median annual salary (50th Percentile)
£45,000
£52,500
£57,250
Median % change year-on-year
-14.29%
-8.30%
+18.04%
75th Percentile
£57,500
£85,000
£70,000
90th Percentile
£62,499
£90,000
£71,250
Merseyside median annual salary
£45,000
£50,000
£52,750
% change year-on-year
-10.00%
-5.21%
+5.50%
Qlik Sense Job Vacancy Trend in Liverpool
Job postings citing Qlik Sense as a proportion of all IT jobs advertised in Liverpool.
Qlik Sense Salary Trend in Liverpool
3-month moving average salary quoted in jobs citing Qlik Sense in Liverpool.
Qlik Sense Top 11 Co-occurring Skills and Capabilities in Liverpool
For the 6 months to 31 May 2025, 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 permanent job ads across the Liverpool region with a requirement for Qlik Sense.
Qlik Sense Co-occurring Skills and Capabilities in Liverpool 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:
