Microsoft Data Analysis Expressions (DAX) Hampshire> Basingstoke
The table below provides summary statistics for permanent job vacancies advertised in Basingstoke 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 14 May 2025, comparing them to the same period in the previous two years.
6 months to 14 May 2025
Same period 2024
Same period 2023
Rank
54
57
-
Rank change year-on-year
+3
-
-
Permanent jobs citing Data Analysis Expressions
1
1
0
As % of all permanent jobs advertised in Basingstoke
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 Basingstoke.
Permanent vacancies with a requirement for coding skills
104
138
85
As % of all permanent jobs advertised in Basingstoke
25.81%
24.73%
24.08%
Number of salaries quoted
97
135
71
10th Percentile
£42,500
£42,320
£40,000
25th Percentile
£50,000
£46,550
£47,500
Median annual salary (50th Percentile)
£75,000
£52,500
£53,500
Median % change year-on-year
+42.86%
-1.87%
-14.40%
75th Percentile
£87,500
£65,000
£68,750
90th Percentile
-
£75,000
£77,500
Hampshire median annual salary
£55,000
£55,000
£55,000
Data Analysis Expressions Job Vacancy Trend in Basingstoke
Job postings citing Data Analysis Expressions as a proportion of all IT jobs advertised in Basingstoke.
Data Analysis Expressions Top 12 Co-occurring Skills and Capabilities in Basingstoke
For the 6 months to 14 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 Basingstoke region with a requirement for Data Analysis Expressions.
Data Analysis Expressions Co-occurring Skills and Capabilities in Basingstoke 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:
