The table below provides summary statistics and salary benchmarking for jobs advertised in Oxfordshire requiring Data Development skills. It covers vacancies from the 6 months leading up to 20 September 2025, with comparisons to the same periods in the previous two years.
6 months to 20 Sep 2025
Same period 2024
Same period 2023
Rank
68
96
-
Rank change year-on-year
+28
-
-
Permanent jobs citing Data Development
1
1
0
As % of all permanent jobs advertised in Oxfordshire
Data Development 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 Oxfordshire.
Permanent vacancies with a requirement for process or methodology skills
621
993
798
As % of all permanent jobs advertised in Oxfordshire
91.06%
79.57%
96.49%
Number of salaries quoted
343
566
609
10th Percentile
£27,450
£29,000
£31,000
25th Percentile
£35,854
£38,620
£41,250
Median annual salary (50th Percentile)
£52,500
£50,000
£56,000
Median % change year-on-year
+5.00%
-10.71%
+10.14%
75th Percentile
£65,000
£60,750
£70,875
90th Percentile
£80,000
£77,500
£80,000
South East median annual salary
£50,000
£55,000
£55,000
% change year-on-year
-9.09%
-
-
Data Development Job Vacancy Trend in Oxfordshire
Job postings citing Data Development as a proportion of all IT jobs advertised in Oxfordshire.
Data Development Salary Trend in Oxfordshire
Salary distribution trend for jobs in Oxfordshire citing Data Development.
Data Development Top 17 Co-occurring Skills and Capabilities in Oxfordshire
For the 6 months to 20 September 2025, job vacancies citing Data Development 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 Oxfordshire region with a requirement for Data Development.
Data Development Co-occurring Skills and Capabilities in Oxfordshire 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:
