The following table provides summary statistics for permanent job vacancies advertised in Cambridge with a requirement for Data Mapping skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Data Mapping over the 6 months to 27 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 27 Apr 2024
Same period 2023
Same period 2022
Rank
79
98
-
Rank change year-on-year
+19
-
-
Permanent jobs citing Data Mapping
4
2
0
As % of all permanent jobs advertised in Cambridge
Data Mapping is in the Processes and Methodologies category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Cambridge with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
812
963
1,561
As % of all permanent jobs advertised in Cambridge
82.35%
95.82%
95.88%
Number of salaries quoted
617
397
561
10th Percentile
£32,500
£30,800
£32,500
25th Percentile
£42,500
£41,250
£42,500
Median annual salary (50th Percentile)
£60,000
£57,500
£55,000
Median % change year-on-year
+4.35%
+4.55%
-
75th Percentile
£75,000
£75,000
£73,750
90th Percentile
£87,500
£91,000
£85,000
Cambridgeshire median annual salary
£55,000
£55,000
£52,500
% change year-on-year
-
+4.76%
-
Data Mapping Job Vacancy Trend in Cambridge
Job postings citing Data Mapping as a proportion of all IT jobs advertised in Cambridge.
Data Mapping Salary Trend in Cambridge
3-month moving average salary quoted in jobs citing Data Mapping in Cambridge.
Data Mapping Top 18 Co-occurring Skills and Capabilities in Cambridge
For the 6 months to 27 April 2024, 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 Cambridge region with a requirement for Data Mapping.
Data Mapping Co-occurring Skills and Capabilities in Cambridge 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:
