As of 28 March 2024, there is not enough information available from job vacancies posted within the last 6 months to determine the median Data Analyst salary in Aylesbury.
6 months to 28 Mar 2024
Same period 2023
Same period 2022
Rank
11
-
-
Rank change year-on-year
-
-
-
Permanent jobs requiring a Data Analyst
6
0
0
As % of all permanent jobs advertised in Aylesbury
The following table is for comparison with the above and includes summary statistics for all permanent IT job vacancies advertised in Aylesbury. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of permanent jobs in our overall sample.
Permanent vacancies in Aylesbury with a recognized job title
73
26
34
% of permanent jobs with a recognized job title
97.33%
89.66%
97.14%
Number of salaries quoted
59
11
23
10th Percentile
£24,500
£26,076
£43,000
25th Percentile
£28,125
£29,750
£45,000
Median annual salary (50th Percentile)
£38,000
£37,500
£50,000
Median % change year-on-year
+1.33%
-25.00%
+42.86%
75th Percentile
£44,500
£41,250
£67,500
90th Percentile
£51,250
£43,750
-
Buckinghamshire median annual salary
£47,500
£50,000
£50,000
% change year-on-year
-5.00%
-
+4.17%
Data Analyst Job Vacancy Trend in Aylesbury
Job postings that featured Data Analyst in the job title as a proportion of all IT jobs advertised in Aylesbury.
Data Analyst Salary Trend in Aylesbury
3-month moving average salary quoted in jobs citing Data Analyst in Aylesbury.
Data Analyst Skill Set Top 26 Co-occurring Skills and Capabilities in Aylesbury
For the 6 months to 28 March 2024, Data Analyst job roles required 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 featuring Data Analyst in the job title.
Data Analyst Skill Set 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: