The table below provides summary statistics for permanent job vacancies advertised in Liverpool requiring Google Analytics skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Google Analytics over the 6 months leading up to 21 May 2025, comparing them to the same period in the previous two years.
6 months to 21 May 2025
Same period 2024
Same period 2023
Rank
43
83
-
Rank change year-on-year
+40
-
-
Permanent jobs citing Google Analytics
1
2
0
As % of all permanent jobs advertised in Liverpool
Google Analytics falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring cloud computing skills in Liverpool.
Permanent vacancies with a requirement for cloud computing skills
81
401
330
As % of all permanent jobs advertised in Liverpool
30.45%
37.10%
35.18%
Number of salaries quoted
61
274
133
10th Percentile
£31,250
£29,000
£31,250
25th Percentile
£40,000
£37,500
£38,000
Median annual salary (50th Percentile)
£52,500
£50,000
£47,000
Median % change year-on-year
+5.00%
+6.38%
-3.09%
75th Percentile
£61,250
£70,000
£58,750
90th Percentile
£75,000
£90,000
£85,750
Merseyside median annual salary
£45,000
£47,500
£45,000
% change year-on-year
-5.26%
+5.56%
-5.26%
Google Analytics Job Vacancy Trend in Liverpool
Job postings citing Google Analytics as a proportion of all IT jobs advertised in Liverpool.
Google Analytics Salary Trend in Liverpool
3-month moving average salary quoted in jobs citing Google Analytics in Liverpool.
Google Analytics Top 30 Co-occurring Skills and Capabilities in Liverpool
For the 6 months to 21 May 2025, job vacancies citing Google Analytics 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 Google Analytics.
Google Analytics 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:
