The following table provides summary statistics for permanent job vacancies with a requirement for Data Mining skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Data Mining over the 6 months to 12 August 2022 with a comparison to the same period in the previous 2 years.
Data Mining is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
46,093
31,897
17,523
As % of all permanent IT jobs advertised in the UK
27.29%
27.88%
27.68%
Number of salaries quoted
20,881
21,138
14,372
10th Percentile
£36,250
£35,000
£32,500
25th Percentile
£45,000
£42,500
£41,250
Median annual salary (50th Percentile)
£60,000
£55,000
£55,000
Median % change year-on-year
+9.09%
-
+7.34%
75th Percentile
£80,000
£75,000
£72,500
90th Percentile
£96,250
£92,500
£87,500
UK excluding London median annual salary
£52,500
£50,000
£47,500
% change year-on-year
+5.00%
+5.26%
+5.56%
Data Mining Job Vacancy Trend
Job postings citing Data Mining as a proportion of all IT jobs advertised.
Data Mining Salary Trend
3-month moving average salary quoted in jobs citing Data Mining.
Data Mining Salary Histogram
Salary distribution for jobs citing Data Mining over the 6 months to 12 August 2022.
Data Mining Top 16 Job Locations
The table below looks at the demand and provides a guide to the median salaries quoted in IT jobs citing Data Mining within the UK over the 6 months to 12 August 2022.
The 'Rank Change' column provides an indication of the change in demand within each location based on the same 6 month period last year.
For the 6 months to 12 August 2022, IT jobs citing Data Mining also mentioned the following skills in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads with a requirement for Data Mining.
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same job type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
