Microsoft Data Analysis Expressions (DAX) East Sussex> Brighton
The following table provides summary statistics for permanent job vacancies advertised in Brighton 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 6 May 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 Brighton with a requirement for coding skills.
Permanent vacancies with a requirement for coding skills
192
329
763
As % of all permanent jobs advertised in Brighton
44.55%
49.70%
72.12%
Number of salaries quoted
179
285
577
10th Percentile
£32,500
£40,500
£37,500
25th Percentile
£47,500
£49,500
£46,250
Median annual salary (50th Percentile)
£57,500
£57,500
£60,000
Median % change year-on-year
-
-4.17%
+20.00%
75th Percentile
£65,000
£70,000
£81,250
90th Percentile
£75,000
£81,250
£85,000
East Sussex median annual salary
£54,500
£55,582
£60,000
% change year-on-year
-1.95%
-7.36%
+20.00%
Data Analysis Expressions Job Vacancy Trend in Brighton
Job postings citing Data Analysis Expressions as a proportion of all IT jobs advertised in Brighton.
Data Analysis Expressions Salary Trend in Brighton
3-month moving average salary quoted in jobs citing Data Analysis Expressions in Brighton.
Data Analysis Expressions Top 12 Co-occurring Skills and Capabilities in Brighton
For the 6 months to 6 May 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 Brighton region with a requirement for Data Analysis Expressions.
Data Analysis Expressions Co-occurring Skills and Capabilities in Brighton 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:
