The table below provides summary statistics and salary benchmarking for jobs advertised in Farnborough requiring Data Mining skills. It covers vacancies from the 6 months leading up to 30 August 2025, with comparisons to the same periods in the previous two years.
6 months to 30 Aug 2025
Same period 2024
Same period 2023
Rank
20
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Data Mining
2
0
0
As % of all permanent jobs advertised in Farnborough
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 Farnborough.
Permanent vacancies with a requirement for database or business intelligence skills
9
7
34
As % of all permanent jobs advertised in Farnborough
10.34%
5.22%
17.53%
Number of salaries quoted
7
6
27
10th Percentile
£26,250
£47,500
£38,250
25th Percentile
£40,625
£48,656
£41,250
Median annual salary (50th Percentile)
£67,500
£56,125
£53,500
Median % change year-on-year
+20.27%
+4.91%
-2.73%
75th Percentile
£68,750
£80,938
£55,250
90th Percentile
£71,250
£87,500
£73,500
Hampshire median annual salary
£52,500
£50,000
£55,000
% change year-on-year
+5.00%
-9.09%
+4.76%
Data Mining Job Vacancy Trend in Farnborough
Job postings citing Data Mining as a proportion of all IT jobs advertised in Farnborough.
Data Mining Salary Trend in Farnborough
Salary distribution trend for jobs in Farnborough citing Data Mining.
Data Mining Top 13 Co-occurring Skills and Capabilities in Farnborough
For the 6 months to 30 August 2025, job vacancies citing Data Mining 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 Farnborough region with a requirement for Data Mining.
Data Mining Co-occurring Skills and Capabilities in Farnborough 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:
