The table below provides summary statistics for permanent job vacancies advertised in Middlesex 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 3 May 2025, comparing them to the same period in the previous two years.
6 months to 3 May 2025
Same period 2024
Same period 2023
Rank
52
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Data Mapping
1
0
0
As % of all permanent jobs advertised in Middlesex
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 Middlesex.
Permanent vacancies with a requirement for process or methodology skills
260
213
137
As % of all permanent jobs advertised in Middlesex
98.11%
93.83%
100.00%
Number of salaries quoted
17
60
122
10th Percentile
£29,850
£30,000
£54,213
25th Percentile
£32,750
£32,688
£66,250
Median annual salary (50th Percentile)
£60,000
£44,657
£85,000
Median % change year-on-year
+34.36%
-47.46%
+70.00%
75th Percentile
£66,250
£67,500
£97,500
90th Percentile
-
£90,000
£107,500
South East median annual salary
£55,790
£50,000
£55,000
% change year-on-year
+11.58%
-9.09%
-
Data Mapping Job Vacancy Trend in Middlesex
Job postings citing Data Mapping as a proportion of all IT jobs advertised in Middlesex.
Data Mapping Salary Trend in Middlesex
3-month moving average salary quoted in jobs citing Data Mapping in Middlesex.
Data Mapping Top 28 Co-occurring Skills and Capabilities in Middlesex
For the 6 months to 3 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 Middlesex region with a requirement for Data Mapping.
Data Mapping Co-occurring Skills and Capabilities in Middlesex 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:
