The table below provides summary statistics and salary benchmarking for jobs advertised in Maidstone requiring Data Analysis skills. It covers vacancies from the 6 months leading up to 9 September 2025, with comparisons to the same periods in the previous two years.
6 months to 9 Sep 2025
Same period 2024
Same period 2023
Rank
17
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Data Analysis
1
0
0
As % of all permanent jobs advertised in Maidstone
Data Analysis falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Maidstone.
Permanent vacancies with a requirement for process or methodology skills
56
72
115
As % of all permanent jobs advertised in Maidstone
62.22%
67.92%
98.29%
Number of salaries quoted
45
57
74
10th Percentile
£30,518
£27,986
£25,750
25th Percentile
£31,500
£32,500
£27,750
Median annual salary (50th Percentile)
£42,500
£47,500
£42,750
Median % change year-on-year
-10.53%
+11.11%
-5.00%
75th Percentile
£60,000
£65,000
£56,875
90th Percentile
£80,000
£66,500
£65,490
Kent median annual salary
£37,500
£47,500
£50,000
% change year-on-year
-21.05%
-5.00%
+8.70%
Data Analysis Job Vacancy Trend in Maidstone
Job postings citing Data Analysis as a proportion of all IT jobs advertised in Maidstone.
Data Analysis Salary Trend in Maidstone
Salary distribution trend for jobs in Maidstone citing Data Analysis.
Data Analysis Top 6 Co-occurring Skills and Capabilities in Maidstone
For the 6 months to 9 September 2025, job vacancies citing Data Analysis 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 Maidstone region with a requirement for Data Analysis.
Data Analysis Co-occurring Skills and Capabilities in Maidstone 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:
