The table below provides summary statistics and salary benchmarking for jobs advertised in Edinburgh requiring Data Mining skills. It covers vacancies from the 6 months leading up to 29 August 2025, with comparisons to the same periods in the previous two years.
6 months to 29 Aug 2025
Same period 2024
Same period 2023
Rank
75
94
-
Rank change year-on-year
+19
-
-
Permanent jobs citing Data Mining
1
4
0
As % of all permanent jobs advertised in Edinburgh
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 Edinburgh.
Permanent vacancies with a requirement for database or business intelligence skills
124
209
313
As % of all permanent jobs advertised in Edinburgh
15.56%
14.81%
21.34%
Number of salaries quoted
62
108
201
10th Percentile
£32,336
£37,275
£42,500
25th Percentile
£46,250
£46,306
£47,500
Median annual salary (50th Percentile)
£65,338
£60,000
£65,000
Median % change year-on-year
+8.90%
-7.69%
+8.33%
75th Percentile
£79,210
£71,375
£77,715
90th Percentile
£94,582
£80,000
£88,750
Scotland median annual salary
£55,500
£51,500
£57,500
% change year-on-year
+7.77%
-10.43%
+9.52%
Data Mining Job Vacancy Trend in Edinburgh
Job postings citing Data Mining as a proportion of all IT jobs advertised in Edinburgh.
Data Mining Salary Trend in Edinburgh
Salary distribution trend for jobs in Edinburgh citing Data Mining.
Data Mining Top 12 Co-occurring Skills and Capabilities in Edinburgh
For the 6 months to 29 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 Edinburgh region with a requirement for Data Mining.
Data Mining Co-occurring Skills and Capabilities in Edinburgh 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:
