Microsoft Data Analysis Expressions (DAX) Oxfordshire> Oxford
The table below provides summary statistics for permanent job vacancies advertised in Oxford requiring Data Analysis Expressions skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data Analysis Expressions over the 6 months leading up to 4 May 2025, comparing them to the same period in the previous two years.
Data Analysis Expressions falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring coding skills in Oxford.
Permanent vacancies with a requirement for coding skills
111
232
124
As % of all permanent jobs advertised in Oxford
46.84%
35.64%
26.16%
Number of salaries quoted
73
213
103
10th Percentile
£43,750
£40,000
£36,254
25th Percentile
£51,250
£41,250
£43,000
Median annual salary (50th Percentile)
£60,000
£55,000
£58,000
Median % change year-on-year
+9.09%
-5.17%
-7.20%
75th Percentile
£75,000
£67,500
£81,250
90th Percentile
£88,750
£77,750
£86,000
Oxfordshire median annual salary
£55,000
£54,500
£55,000
% change year-on-year
+0.92%
-0.91%
-
Data Analysis Expressions Job Vacancy Trend in Oxford
Job postings citing Data Analysis Expressions as a proportion of all IT jobs advertised in Oxford.
Data Analysis Expressions Salary Trend in Oxford
3-month moving average salary quoted in jobs citing Data Analysis Expressions in Oxford.
Data Analysis Expressions Top 7 Co-occurring Skills and Capabilities in Oxford
For the 6 months to 4 May 2025, job vacancies citing Data Analysis Expressions 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 Analysis Expressions.
Data Analysis Expressions 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:
