The table below provides summary statistics and salary benchmarking for jobs advertised in Southampton requiring Data Mining skills. It covers permanent job vacancies from the 6 months leading up to 13 October 2025, with comparisons to the same periods in the previous two years.
Data Mining falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Southampton.
Permanent vacancies with a requirement for database or business intelligence skills
30
138
70
As % of all permanent jobs advertised in Southampton
7.06%
17.81%
16.67%
Number of salaries quoted
23
92
61
10th Percentile
£32,500
£29,750
£31,250
25th Percentile
£34,375
£40,000
£43,750
Median annual salary (50th Percentile)
£40,000
£52,500
£57,500
Median % change year-on-year
-23.81%
-8.70%
+15.00%
75th Percentile
£58,125
£63,750
£67,500
90th Percentile
£64,500
£74,875
£70,000
Hampshire median annual salary
£55,000
£50,000
£53,500
% change year-on-year
+10.00%
-6.54%
-
Data Mining Job Vacancy Trend in Southampton
Historical trend showing the proportion of permanent IT job postings citing Data Mining relative to all permanent IT jobs advertised in Southampton.
Data Mining Salary Trend in Southampton
Salary distribution trend for jobs in Southampton citing Data Mining.
Data Mining Top 15 Co-Occurring Skills & Capabilities in Southampton
For the 6 months to 13 October 2025, job vacancies citing Data Mining also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Southampton region with a requirement for Data Mining.
Data Mining Co-Occurring Skills & Capabilities in Southampton by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
