The table below provides summary statistics for permanent job vacancies advertised in Reading requiring Data Analysis skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data Analysis over the 6 months leading up to 28 May 2025, comparing them to the same period in the previous two years.
Data Analysis falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Reading.
Permanent vacancies with a requirement for process or methodology skills
426
1,562
1,500
As % of all permanent jobs advertised in Reading
85.89%
87.26%
97.15%
Number of salaries quoted
219
928
761
10th Percentile
£31,100
£30,000
£31,250
25th Percentile
£40,625
£40,938
£42,500
Median annual salary (50th Percentile)
£62,500
£54,748
£62,500
Median % change year-on-year
+14.16%
-12.40%
+4.17%
75th Percentile
£82,500
£70,000
£77,500
90th Percentile
£95,500
£80,000
£95,000
Berkshire median annual salary
£60,000
£53,263
£60,000
% change year-on-year
+12.65%
-11.23%
-
Data Analysis Job Vacancy Trend in Reading
Job postings citing Data Analysis as a proportion of all IT jobs advertised in Reading.
Data Analysis Salary Trend in Reading
3-month moving average salary quoted in jobs citing Data Analysis in Reading.
Data Analysis Top 16 Co-occurring Skills and Capabilities in Reading
For the 6 months to 28 May 2025, job vacancies citing Data Analysis 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 Reading region with a requirement for Data Analysis.
Data Analysis Co-occurring Skills and Capabilities in Reading 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:
