Data Cleansing (Data Cleaning, Data Scrubbing) Berkshire> Reading
The table below provides summary statistics and salary benchmarking for jobs advertised in Reading requiring Data Cleansing skills. It covers vacancies from the 6 months leading up to 16 September 2025, with comparisons to the same periods in the previous two years.
Data Cleansing 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
442
1,078
1,092
As % of all permanent jobs advertised in Reading
84.03%
79.97%
95.12%
Number of salaries quoted
270
559
694
10th Percentile
£28,000
£35,000
£32,500
25th Percentile
£39,000
£45,000
£42,500
Median annual salary (50th Percentile)
£55,000
£56,525
£56,525
Median % change year-on-year
-2.70%
-
-5.79%
75th Percentile
£72,188
£73,750
£73,438
90th Percentile
£88,875
£83,750
£85,000
Berkshire median annual salary
£50,000
£60,000
£55,000
% change year-on-year
-16.67%
+9.09%
-8.33%
Data Cleansing Job Vacancy Trend in Reading
Job postings citing Data Cleansing as a proportion of all IT jobs advertised in Reading.
Data Cleansing Salary Trend in Reading
Salary distribution trend for jobs in Reading citing Data Cleansing.
Data Cleansing Top 5 Co-occurring Skills and Capabilities in Reading
For the 6 months to 16 September 2025, job vacancies citing Data Cleansing 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 Cleansing.
Data Cleansing 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:
