The following table provides summary statistics for permanent job vacancies advertised in Aylesbury with a requirement for Tableau skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Tableau over the 6 months to 5 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 5 May 2024
Same period 2023
Same period 2022
Rank
13
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Tableau
6
0
0
As % of all permanent jobs advertised in Aylesbury
Tableau is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Aylesbury with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
12
6
6
As % of all permanent jobs advertised in Aylesbury
14.46%
21.43%
15.79%
Number of salaries quoted
6
6
5
10th Percentile
-
£26,076
£45,500
25th Percentile
£41,500
£28,620
£46,250
Median annual salary (50th Percentile)
£43,000
£37,500
£60,000
Median % change year-on-year
+14.67%
-37.50%
+71.43%
75th Percentile
£54,250
£38,750
£70,000
90th Percentile
£57,500
-
-
Buckinghamshire median annual salary
£52,500
£53,000
£52,500
% change year-on-year
-0.94%
+0.95%
+10.53%
Tableau Job Vacancy Trend in Aylesbury
Job postings citing Tableau as a proportion of all IT jobs advertised in Aylesbury.
Tableau Salary Trend in Aylesbury
3-month moving average salary quoted in jobs citing Tableau in Aylesbury.
Tableau Top 25 Co-occurring Skills and Capabilities in Aylesbury
For the 6 months to 5 May 2024, job vacancies citing Tableau 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 Aylesbury region with a requirement for Tableau.
Tableau Co-occurring Skills and Capabilities in Aylesbury 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:
