The table below provides summary statistics for permanent job vacancies advertised in Liverpool requiring Data Mapping skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data Mapping over the 6 months leading up to 12 May 2025, comparing them to the same period in the previous two years.
6 months to 12 May 2025
Same period 2024
Same period 2023
Rank
40
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Data Mapping
1
0
0
As % of all permanent jobs advertised in Liverpool
Data Mapping falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Liverpool.
Permanent vacancies with a requirement for process or methodology skills
258
874
863
As % of all permanent jobs advertised in Liverpool
95.91%
81.76%
92.00%
Number of salaries quoted
159
581
379
10th Percentile
£30,200
£28,250
£28,700
25th Percentile
£34,000
£35,000
£37,500
Median annual salary (50th Percentile)
£46,000
£46,250
£47,500
Median % change year-on-year
-0.54%
-2.63%
-
75th Percentile
£66,375
£60,000
£60,000
90th Percentile
£80,250
£80,497
£70,120
Merseyside median annual salary
£46,000
£45,000
£45,000
% change year-on-year
+2.22%
-
-5.26%
Data Mapping Job Vacancy Trend in Liverpool
Job postings citing Data Mapping as a proportion of all IT jobs advertised in Liverpool.
Data Mapping Salary Trend in Liverpool
3-month moving average salary quoted in jobs citing Data Mapping in Liverpool.
Data Mapping Top 12 Co-occurring Skills and Capabilities in Liverpool
For the 6 months to 12 May 2025, job vacancies citing Data Mapping 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 Data Mapping.
Data Mapping 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:
