The table below provides summary statistics and salary benchmarking for jobs advertised in Borehamwood requiring Data Modelling skills. It covers vacancies from the 6 months leading up to 30 August 2025, with comparisons to the same periods in the previous two years.
6 months to 30 Aug 2025
Same period 2024
Same period 2023
Rank
20
-
8
Rank change year-on-year
-
-
+14
Permanent jobs citing Data Modelling
1
0
3
As % of all permanent jobs advertised in Borehamwood
Data Modelling 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 Borehamwood.
Permanent vacancies with a requirement for process or methodology skills
51
30
19
As % of all permanent jobs advertised in Borehamwood
96.23%
65.22%
86.36%
Number of salaries quoted
13
17
12
10th Percentile
-
£24,750
£28,525
25th Percentile
£31,250
£28,750
£31,563
Median annual salary (50th Percentile)
£42,500
£42,500
£42,500
Median % change year-on-year
-
-
+6.25%
75th Percentile
£52,500
£49,750
£66,250
90th Percentile
£56,250
£58,000
£92,500
Hertfordshire median annual salary
£48,000
£54,000
£55,000
% change year-on-year
-11.11%
-1.82%
-
Data Modelling Job Vacancy Trend in Borehamwood
Job postings citing Data Modelling as a proportion of all IT jobs advertised in Borehamwood.
Data Modelling Salary Trend in Borehamwood
Salary distribution trend for jobs in Borehamwood citing Data Modelling.
Data Modelling Top 25 Co-occurring Skills and Capabilities in Borehamwood
For the 6 months to 30 August 2025, job vacancies citing Data Modelling 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 Borehamwood region with a requirement for Data Modelling.
Data Modelling Co-occurring Skills and Capabilities in Borehamwood 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:
