The table below provides summary statistics for permanent job vacancies advertised in Dunstable requiring Data Modelling skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data Modelling over the 6 months leading up to 2 May 2025, comparing them to the same period in the previous two years.
6 months to 2 May 2025
Same period 2024
Same period 2023
Rank
7
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Data Modelling
2
0
0
As % of all permanent jobs advertised in Dunstable
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 Dunstable.
Permanent vacancies with a requirement for process or methodology skills
23
2
11
As % of all permanent jobs advertised in Dunstable
100.00%
100.00%
100.00%
Number of salaries quoted
7
2
11
10th Percentile
£25,000
-
£35,250
25th Percentile
£35,625
£76,250
£41,875
Median annual salary (50th Percentile)
£50,000
£77,500
£47,500
Median % change year-on-year
-35.48%
+63.16%
+39.71%
75th Percentile
£64,250
£78,750
£48,750
90th Percentile
£82,600
-
-
Bedfordshire median annual salary
£52,250
£50,000
£57,500
% change year-on-year
+4.50%
-13.04%
+19.17%
Data Modelling Job Vacancy Trend in Dunstable
Job postings citing Data Modelling as a proportion of all IT jobs advertised in Dunstable.
Data Modelling Salary Trend in Dunstable
3-month moving average salary quoted in jobs citing Data Modelling in Dunstable.
Data Modelling Top 24 Co-occurring Skills and Capabilities in Dunstable
For the 6 months to 2 May 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 Dunstable region with a requirement for Data Modelling.
Data Modelling Co-occurring Skills and Capabilities in Dunstable 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:
