The following table provides summary statistics for permanent job vacancies advertised in Windsor 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 10 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 Windsor with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
55
40
39
As % of all permanent jobs advertised in Windsor
98.21%
86.96%
90.70%
Number of salaries quoted
20
27
25
10th Percentile
£32,375
£42,500
£35,000
25th Percentile
£35,000
£50,625
£47,500
Median annual salary (50th Percentile)
£37,500
£65,000
£55,000
Median % change year-on-year
-42.31%
+18.18%
-
75th Percentile
£43,750
-
£67,500
90th Percentile
£60,875
-
£77,500
Berkshire median annual salary
£52,550
£60,000
£60,000
% change year-on-year
-12.42%
-
+9.09%
Data Modelling Job Vacancy Trend in Windsor
Job postings citing Data Modelling as a proportion of all IT jobs advertised in Windsor.
Data Modelling Salary Trend in Windsor
3-month moving average salary quoted in jobs citing Data Modelling in Windsor.
Data Modelling Top 17 Co-occurring Skills and Capabilities in Windsor
For the 6 months to 10 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 Windsor region with a requirement for Data Modelling.
Data Modelling Co-occurring Skills and Capabilities in Windsor 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:
