Microsoft Data Analysis Expressions (DAX) West Midlands> Solihull
The table below provides summary statistics for permanent job vacancies advertised in Solihull 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 1 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 Solihull.
Permanent vacancies with a requirement for coding skills
35
46
78
As % of all permanent jobs advertised in Solihull
22.73%
19.25%
31.20%
Number of salaries quoted
28
39
58
10th Percentile
£43,750
£34,700
£32,350
25th Percentile
£52,500
£36,750
£38,875
Median annual salary (50th Percentile)
£55,000
£45,000
£52,500
Median % change year-on-year
+22.22%
-14.29%
+22.09%
75th Percentile
£68,750
£60,000
£57,500
90th Percentile
-
£68,750
£70,075
West Midlands median annual salary
£55,000
£52,500
£55,000
% change year-on-year
+4.76%
-4.55%
+4.76%
Data Analysis Expressions Job Vacancy Trend in Solihull
Job postings citing Data Analysis Expressions as a proportion of all IT jobs advertised in Solihull.
Data Analysis Expressions Salary Trend in Solihull
3-month moving average salary quoted in jobs citing Data Analysis Expressions in Solihull.
Data Analysis Expressions Top 13 Co-occurring Skills and Capabilities in Solihull
For the 6 months to 1 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 Solihull region with a requirement for Data Analysis Expressions.
Data Analysis Expressions Co-occurring Skills and Capabilities in Solihull 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:
