The table below provides summary statistics and salary benchmarking for jobs advertised in Sheffield requiring Data Mining skills. It covers vacancies from the 6 months leading up to 18 September 2025, with comparisons to the same periods in the previous two years.
6 months to 18 Sep 2025
Same period 2024
Same period 2023
Rank
46
64
-
Rank change year-on-year
+18
-
-
Permanent jobs citing Data Mining
2
2
0
As % of all permanent jobs advertised in Sheffield
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 Sheffield.
Permanent vacancies with a requirement for database or business intelligence skills
46
105
134
As % of all permanent jobs advertised in Sheffield
11.59%
12.22%
27.97%
Number of salaries quoted
45
60
122
10th Percentile
£25,300
£31,250
£27,600
25th Percentile
£33,750
£37,188
£32,200
Median annual salary (50th Percentile)
£54,000
£46,000
£46,250
Median % change year-on-year
+17.39%
-0.54%
-7.50%
75th Percentile
£62,500
£60,313
£69,375
90th Percentile
£75,750
£73,000
£70,000
South Yorkshire median annual salary
£54,000
£46,000
£47,500
% change year-on-year
+17.39%
-3.16%
+11.76%
Data Mining Job Vacancy Trend in Sheffield
Job postings citing Data Mining as a proportion of all IT jobs advertised in Sheffield.
Data Mining Salary Trend in Sheffield
Salary distribution trend for jobs in Sheffield citing Data Mining.
Data Mining Top 12 Co-occurring Skills and Capabilities in Sheffield
For the 6 months to 18 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 Sheffield region with a requirement for Data Mining.
Data Mining Co-occurring Skills and Capabilities in Sheffield 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:
