The table below provides summary statistics and salary benchmarking for jobs advertised in Birmingham requiring Data Mining skills. It covers vacancies from the 6 months leading up to 19 September 2025, with comparisons to the same periods in the previous two years.
6 months to 19 Sep 2025
Same period 2024
Same period 2023
Rank
94
123
96
Rank change year-on-year
+29
-27
+72
Permanent jobs citing Data Mining
2
2
11
As % of all permanent jobs advertised in Birmingham
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 Birmingham.
Permanent vacancies with a requirement for database or business intelligence skills
213
275
262
As % of all permanent jobs advertised in Birmingham
17.82%
11.90%
18.79%
Number of salaries quoted
175
160
233
10th Percentile
£37,500
£31,250
£38,125
25th Percentile
£44,000
£40,938
£45,000
Median annual salary (50th Percentile)
£60,000
£60,000
£55,000
Median % change year-on-year
-
+9.09%
-4.35%
75th Percentile
£73,750
£73,750
£70,000
90th Percentile
£76,500
£84,964
£80,000
West Midlands median annual salary
£57,500
£55,000
£50,000
% change year-on-year
+4.55%
+10.00%
-1.71%
Data Mining Job Vacancy Trend in Birmingham
Job postings citing Data Mining as a proportion of all IT jobs advertised in Birmingham.
Data Mining Salary Trend in Birmingham
Salary distribution trend for jobs in Birmingham citing Data Mining.
Data Mining Top 12 Co-occurring Skills and Capabilities in Birmingham
For the 6 months to 19 September 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 Birmingham region with a requirement for Data Mining.
Data Mining Co-occurring Skills and Capabilities in Birmingham 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:
