Microsoft Data Analysis Expressions (DAX) Berkshire> Reading
The following table provides summary statistics for permanent job vacancies advertised in Reading 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 19 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 Reading with a requirement for coding skills.
Permanent vacancies with a requirement for coding skills
561
688
807
As % of all permanent jobs advertised in Reading
32.83%
43.22%
46.22%
Number of salaries quoted
366
424
506
10th Percentile
£38,750
£38,393
£36,750
25th Percentile
£46,444
£51,813
£47,500
Median annual salary (50th Percentile)
£58,000
£70,000
£60,000
Median % change year-on-year
-17.14%
+16.67%
-
75th Percentile
£72,500
£85,000
£75,000
90th Percentile
£82,500
£100,000
£83,750
Berkshire median annual salary
£60,000
£65,000
£60,000
% change year-on-year
-7.69%
+8.33%
+9.09%
Data Analysis Expressions Job Vacancy Trend in Reading
Job postings citing Data Analysis Expressions as a proportion of all IT jobs advertised in Reading.
Data Analysis Expressions Salary Trend in Reading
3-month moving average salary quoted in jobs citing Data Analysis Expressions in Reading.
Data Analysis Expressions Top 17 Co-occurring Skills and Capabilities in Reading
For the 6 months to 19 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 Reading region with a requirement for Data Analysis Expressions.
Data Analysis Expressions Co-occurring Skills and Capabilities in Reading 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:
