The table below provides summary statistics for permanent job vacancies advertised in Maidstone requiring Data-Driven Decision Making skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data-Driven Decision Making over the 6 months leading up to 2 May 2025, comparing them to the same period in the previous two years.
6 months to 2 May 2025
Same period 2024
Same period 2023
Rank
13
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Data-Driven Decision Making
1
0
0
As % of all permanent jobs advertised in Maidstone
Data-Driven Decision Making 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
39
166
307
As % of all permanent jobs advertised in Maidstone
63.93%
88.30%
97.77%
Number of salaries quoted
32
149
128
10th Percentile
£26,375
£21,250
£25,750
25th Percentile
£30,500
£26,750
£27,750
Median annual salary (50th Percentile)
£33,000
£40,000
£38,000
Median % change year-on-year
-17.50%
+5.26%
-41.54%
75th Percentile
£75,000
£51,250
£57,500
90th Percentile
£87,500
£62,500
£72,500
Kent median annual salary
£45,000
£42,500
£47,250
% change year-on-year
+5.88%
-10.05%
+5.00%
Data-Driven Decision Making Job Vacancy Trend in Maidstone
Job postings citing Data-Driven Decision Making as a proportion of all IT jobs advertised in Maidstone.
Data-Driven Decision Making Top 5 Co-occurring Skills and Capabilities in Maidstone
For the 6 months to 2 May 2025, job vacancies citing Data-Driven Decision Making 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-Driven Decision Making.
Data-Driven Decision Making 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:
