The table below provides summary statistics and contractor rates for jobs advertised in Milton Keynes requiring Data Mining skills. It covers contract job vacancies from the 6 months leading up to 21 October 2025, with comparisons to the same periods 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 contract job vacancies requiring database or business intelligence skills in Milton Keynes.
Contract vacancies with a requirement for database or business intelligence skills
53
41
112
As % of all contract IT jobs advertised in Milton Keynes
20.00%
13.85%
18.64%
Number of daily rates quoted
43
25
85
10th Percentile
£305
£277
£340
25th Percentile
£327
£400
£400
Median daily rate (50th Percentile)
£425
£425
£500
Median % change year-on-year
-
-15.00%
+6.38%
75th Percentile
£486
£488
£600
90th Percentile
£533
£565
£668
Buckinghamshire median daily rate
£425
£438
£500
% change year-on-year
-2.86%
-12.50%
+2.30%
Data Mining Job Vacancy Trend in Milton Keynes
Historical trend showing the proportion of contract IT job postings citing Data Mining relative to all contract IT jobs advertised in Milton Keynes.
Data Mining Daily Rate Trend in Milton Keynes
Contractor daily rate distribution trend for jobs in Milton Keynes citing Data Mining.
Data Mining Top 17 Co-Occurring Skills & Capabilities in Milton Keynes
For the 6 months to 21 October 2025, contractor job vacancies citing Data Mining also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all contract job ads across the Milton Keynes region with a requirement for Data Mining.
Data Mining Co-Occurring Skills & Capabilities in Milton Keynes by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category: