The table below provides summary statistics for permanent job vacancies advertised in Oxford requiring Data Analytics skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data Analytics over the 6 months leading up to 8 May 2025, comparing them to the same period in the previous two years.
Data Analytics 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
233
567
437
As % of all permanent jobs advertised in Oxford
97.90%
86.96%
93.98%
Number of salaries quoted
130
423
260
10th Percentile
£40,000
£29,200
£30,725
25th Percentile
£50,313
£40,000
£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
£71,563
90th Percentile
£95,125
£74,750
£85,000
Oxfordshire median annual salary
£55,000
£50,000
£50,500
% change year-on-year
+10.00%
-0.99%
-8.18%
Data Analytics Job Vacancy Trend in Oxford
Job postings citing Data Analytics as a proportion of all IT jobs advertised in Oxford.
Data Analytics Salary Trend in Oxford
3-month moving average salary quoted in jobs citing Data Analytics in Oxford.
Data Analytics Top 13 Co-occurring Skills and Capabilities in Oxford
For the 6 months to 8 May 2025, job vacancies citing Data Analytics 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 Analytics.
Data Analytics 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:
