Microsoft Data Analysis Expressions (DAX) South West> Somerset
The table below provides summary statistics and salary benchmarking for jobs advertised in Somerset requiring Data Analysis Expressions skills. It covers permanent job vacancies from the 6 months leading up to 16 October 2025, with comparisons to the same periods 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 Somerset.
Permanent vacancies with a requirement for coding skills
102
116
131
As % of all permanent jobs advertised in Somerset
24.11%
16.45%
31.64%
Number of salaries quoted
86
70
102
10th Percentile
£26,500
£36,250
£31,250
25th Percentile
£32,563
£43,125
£36,106
Median annual salary (50th Percentile)
£42,500
£53,750
£47,500
Median % change year-on-year
-20.93%
+13.16%
-13.64%
75th Percentile
£52,438
£62,500
£62,500
90th Percentile
£65,000
£85,000
£72,250
South West median annual salary
£50,000
£55,000
£55,000
% change year-on-year
-9.09%
-
+4.76%
Data Analysis Expressions Job Vacancy Trend in Somerset
Historical trend showing the proportion of permanent IT job postings citing Data Analysis Expressions relative to all permanent IT jobs advertised in Somerset.
Data Analysis Expressions Salary Trend in Somerset
Salary distribution trend for jobs in Somerset citing Data Analysis Expressions.
Data Analysis Expressions Top 12 Co-Occurring Skills & Capabilities in Somerset
For the 6 months to 16 October 2025, job vacancies citing Data Analysis Expressions also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Somerset region with a requirement for Data Analysis Expressions.
Data Analysis Expressions Co-Occurring Skills & Capabilities in Somerset by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
