The table below provides summary statistics for permanent job vacancies advertised in Oxford 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 5 May 2025, comparing them to the same period in the previous two years.
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 Oxford.
Permanent vacancies with a requirement for process or methodology skills
232
568
440
As % of all permanent jobs advertised in Oxford
97.89%
87.25%
94.02%
Number of salaries quoted
130
424
262
10th Percentile
£40,000
£29,000
£30,800
25th Percentile
£50,000
£39,000
£41,250
Median annual salary (50th Percentile)
£60,000
£52,500
£55,000
Median % change year-on-year
+14.29%
-4.55%
-8.33%
75th Percentile
£75,938
£63,750
£71,250
90th Percentile
£95,125
£73,750
£85,000
Oxfordshire median annual salary
£55,000
£47,750
£50,500
% change year-on-year
+15.18%
-5.45%
-8.18%
Data Modelling Job Vacancy Trend in Oxford
Job postings citing Data Modelling as a proportion of all IT jobs advertised in Oxford.
Data Modelling Salary Trend in Oxford
3-month moving average salary quoted in jobs citing Data Modelling in Oxford.
Data Modelling Top 22 Co-occurring Skills and Capabilities in Oxford
For the 6 months to 5 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 Oxford region with a requirement for Data Modelling.
Data Modelling Co-occurring Skills and Capabilities in Oxford 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:
