The table below provides summary statistics for permanent remote or hybrid work requiring Text Mining skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Text Mining over the 6 months leading up to 31 October 2024, comparing them to the same period in the previous two years.
Text 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 with remote or hybrid options requiring database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
5,628
5,939
16,540
As % of all permanent jobs with a WFH option
24.68%
24.29%
26.74%
Number of salaries quoted
2,764
4,493
9,683
10th Percentile
£39,250
£39,294
£37,500
25th Percentile
£48,750
£47,500
£46,250
Median annual salary (50th Percentile)
£70,000
£60,000
£60,000
Median % change year-on-year
+16.67%
-
+4.35%
75th Percentile
£95,000
£77,715
£80,250
90th Percentile
£122,500
£93,750
£95,000
UK median annual salary
£65,000
£60,000
£61,180
% change year-on-year
+8.33%
-1.93%
+6.40%
Text Mining Trend for Jobs with a WFH Option
Job vacancies with a work from home option citing Text Mining as a proportion of all IT jobs advertised.
Text Mining Salary Trend for Jobs with a WFH Option
3-month moving average salary quoted in job vacancies with a work from home option citing Text Mining.
Text Mining Top 14 Co-occurring Skills and Capabilities in Job Vacancies with WFH Options
For the 6 months to 31 October 2024, Text Mining job roles required the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent jobs with remote work options and a requirement for Text Mining.
Text Mining Co-occurring Skills and Capabilities with WFH Options 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: