Microsoft Data Analysis Expressions (DAX) West Midlands> Solihull
The following table provides summary statistics for permanent job vacancies advertised in Solihull with a requirement for Data Analysis Expressions skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Data Analysis Expressions over the 6 months to 28 April 2024 with a comparison to the same period in the previous 2 years.
Data Analysis Expressions is in the Programming Languages category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Solihull with a requirement for coding skills.
Permanent vacancies with a requirement for coding skills
46
79
75
As % of all permanent jobs advertised in Solihull
19.17%
31.47%
30.12%
Number of salaries quoted
39
59
52
10th Percentile
£34,700
£32,400
£31,625
25th Percentile
£36,750
£38,750
£35,000
Median annual salary (50th Percentile)
£45,000
£52,500
£43,000
Median % change year-on-year
-14.29%
+22.09%
-4.44%
75th Percentile
£60,000
£57,500
£56,563
90th Percentile
£68,750
£70,050
£72,375
West Midlands median annual salary
£52,500
£55,000
£52,500
% change year-on-year
-4.55%
+4.76%
+10.53%
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 16 Co-occurring Skills and Capabilities in Solihull
For the 6 months to 28 April 2024, 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:
