Microsoft Data Analysis Expressions (DAX) Buckinghamshire> High Wycombe
The following table provides summary statistics for permanent job vacancies advertised in High Wycombe 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.
6 months to 28 Apr 2024
Same period 2023
Same period 2022
Rank
23
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Data Analysis Expressions
1
0
0
As % of all permanent jobs advertised in High Wycombe
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 High Wycombe with a requirement for coding skills.
Permanent vacancies with a requirement for coding skills
18
9
42
As % of all permanent jobs advertised in High Wycombe
12.50%
11.25%
37.50%
Number of salaries quoted
10
4
12
10th Percentile
£57,500
£36,163
£45,125
25th Percentile
£66,250
£36,219
£49,063
Median annual salary (50th Percentile)
£85,000
£40,750
£55,000
Median % change year-on-year
+108.59%
-25.91%
+4.76%
75th Percentile
-
£46,311
£61,875
90th Percentile
-
£46,872
£81,000
Buckinghamshire median annual salary
£52,501
£52,500
£55,000
% change year-on-year
+0.00%
-4.55%
+10.00%
Data Analysis Expressions Top 5 Co-occurring Skills and Capabilities in High Wycombe
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 High Wycombe region with a requirement for Data Analysis Expressions.
Data Analysis Expressions Co-occurring Skills and Capabilities in High Wycombe 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: