The table below provides summary statistics and salary benchmarking for jobs advertised in Milton Keynes requiring Qlik Sense skills. It covers vacancies from the 6 months leading up to 16 September 2025, with comparisons to the same periods in the previous two years.
6 months to 16 Sep 2025
Same period 2024
Same period 2023
Rank
35
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Qlik Sense
1
0
0
As % of all permanent jobs advertised in Milton Keynes
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 Milton Keynes.
Permanent vacancies with a requirement for database or business intelligence skills
50
118
110
As % of all permanent jobs advertised in Milton Keynes
18.25%
24.03%
17.60%
Number of salaries quoted
33
95
96
10th Percentile
£38,550
£35,000
£45,225
25th Percentile
£42,500
£36,250
£52,188
Median annual salary (50th Percentile)
£51,000
£47,500
£65,000
Median % change year-on-year
+7.37%
-26.92%
+18.18%
75th Percentile
£65,000
£57,500
£77,500
90th Percentile
£72,500
£65,000
£90,000
Buckinghamshire median annual salary
£50,000
£47,500
£60,000
% change year-on-year
+5.26%
-20.83%
+5.26%
Qlik Sense Job Vacancy Trend in Milton Keynes
Job postings citing Qlik Sense as a proportion of all IT jobs advertised in Milton Keynes.
Qlik Sense Salary Trend in Milton Keynes
Salary distribution trend for jobs in Milton Keynes citing Qlik Sense.
Qlik Sense Top 22 Co-occurring Skills and Capabilities in Milton Keynes
For the 6 months to 16 September 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 Milton Keynes region with a requirement for Qlik Sense.
Qlik Sense Co-occurring Skills and Capabilities in Milton Keynes 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:
