The following table provides summary statistics for permanent job vacancies advertised in Carlisle with a requirement for Data Modelling skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Data Modelling over the 6 months to 21 May 2024 with a comparison to the same period in the previous 2 years.
Data Modelling 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 Carlisle with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
76
45
33
As % of all permanent jobs advertised in Carlisle
81.72%
97.83%
89.19%
Number of salaries quoted
72
33
10
10th Percentile
£26,875
£27,100
£31,787
25th Percentile
£37,188
£35,000
£32,250
Median annual salary (50th Percentile)
£45,000
£54,000
£40,750
Median % change year-on-year
-16.67%
+32.52%
+35.83%
75th Percentile
£61,250
£57,500
£52,313
90th Percentile
£70,000
£70,600
£64,875
Cumbria median annual salary
£42,500
£45,000
£35,000
% change year-on-year
-5.56%
+28.57%
-12.50%
Data Modelling Job Vacancy Trend in Carlisle
Job postings citing Data Modelling as a proportion of all IT jobs advertised in Carlisle.
Data Modelling Salary Trend in Carlisle
3-month moving average salary quoted in jobs citing Data Modelling in Carlisle.
Data Modelling Salary Histogram in Carlisle
Salary distribution for jobs citing Data Modelling in Carlisle over the 6 months to 21 May 2024.
Data Modelling Top 12 Co-occurring Skills and Capabilities in Carlisle
For the 6 months to 21 May 2024, 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 Carlisle region with a requirement for Data Modelling.
Data Modelling Co-occurring Skills and Capabilities in Carlisle 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: