Microsoft Data Analysis Expressions (DAX) Scotland> Glasgow
The table below provides summary statistics for permanent job vacancies advertised in Glasgow 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 3 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 Glasgow.
Permanent vacancies with a requirement for coding skills
144
2,751
750
As % of all permanent jobs advertised in Glasgow
29.21%
69.02%
47.44%
Number of salaries quoted
102
351
339
10th Percentile
£41,250
£34,000
£38,750
25th Percentile
£52,500
£41,250
£45,000
Median annual salary (50th Percentile)
£58,033
£55,000
£55,000
Median % change year-on-year
+5.51%
-
+9.48%
75th Percentile
£75,360
£67,500
£68,750
90th Percentile
£85,000
£80,000
£79,000
Scotland median annual salary
£58,033
£55,000
£60,000
% change year-on-year
+5.51%
-8.33%
+9.09%
Data Analysis Expressions Job Vacancy Trend in Glasgow
Job postings citing Data Analysis Expressions as a proportion of all IT jobs advertised in Glasgow.
Data Analysis Expressions Salary Trend in Glasgow
3-month moving average salary quoted in jobs citing Data Analysis Expressions in Glasgow.
Data Analysis Expressions Top 11 Co-occurring Skills and Capabilities in Glasgow
For the 6 months to 3 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 Glasgow region with a requirement for Data Analysis Expressions.
Data Analysis Expressions Co-occurring Skills and Capabilities in Glasgow 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:
