The table below provides summary statistics for permanent job vacancies advertised in Swindon requiring Data Mining skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data Mining over the 6 months leading up to 4 May 2025, comparing them to the same period 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 Swindon.
Permanent vacancies with a requirement for database or business intelligence skills
17
75
39
As % of all permanent jobs advertised in Swindon
12.06%
16.52%
9.54%
Number of salaries quoted
15
69
35
10th Percentile
£32,350
£27,500
£38,800
25th Percentile
£44,375
£42,000
£42,500
Median annual salary (50th Percentile)
£55,000
£50,000
£70,000
Median % change year-on-year
+10.00%
-28.57%
+40.00%
75th Percentile
£72,500
£70,000
£76,250
90th Percentile
£79,250
£71,500
£83,500
Wiltshire median annual salary
£53,250
£51,750
£55,000
% change year-on-year
+2.90%
-5.91%
+4.76%
Data Mining Job Vacancy Trend in Swindon
Job postings citing Data Mining as a proportion of all IT jobs advertised in Swindon.
Data Mining Salary Trend in Swindon
3-month moving average salary quoted in jobs citing Data Mining in Swindon.
Data Mining Top 21 Co-occurring Skills and Capabilities in Swindon
For the 6 months to 4 May 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 Swindon region with a requirement for Data Mining.
Data Mining Co-occurring Skills and Capabilities in Swindon 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:
