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 permanent job vacancies from the 6 months leading up to 20 October 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
435
946
1,002
As % of all permanent jobs advertised in Reading
87.53%
80.37%
94.53%
Number of salaries quoted
256
446
618
10th Percentile
£28,000
£35,000
£32,500
25th Percentile
£36,250
£45,000
£40,080
Median annual salary (50th Percentile)
£55,000
£57,513
£55,000
Median % change year-on-year
-4.37%
+4.57%
-8.33%
75th Percentile
£68,813
£75,000
£71,000
90th Percentile
£90,000
£85,000
£85,000
Berkshire median annual salary
£47,500
£60,000
£55,000
% change year-on-year
-20.83%
+9.09%
-8.33%
Data Cleansing Job Vacancy Trend in Reading
Historical trend showing the proportion of permanent IT job postings citing Data Cleansing relative to all permanent IT jobs advertised in Reading.
Data Cleansing Salary Trend in Reading
Salary distribution trend for jobs in Reading citing Data Cleansing.
Data Cleansing Top 3 Co-Occurring Skills & Capabilities in Reading
For the 6 months to 20 October 2025, job vacancies citing Data Cleansing 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 permanent job ads across the Reading region with a requirement for Data Cleansing.
Data Cleansing Co-Occurring Skills & Capabilities in Reading 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:
