Data Cleansing (Data Cleaning, Data Scrubbing) Berkshire> Reading
The following table provides summary statistics for permanent job vacancies advertised in Reading with a requirement for Data Cleansing skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Data Cleansing over the 6 months to 18 April 2024 with a comparison to the same period in the previous 2 years.
Data Cleansing is in the Processes and Methodologies category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Reading with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
1,516
1,539
1,613
As % of all permanent jobs advertised in Reading
88.45%
96.67%
92.38%
Number of salaries quoted
932
817
949
10th Percentile
£30,000
£31,250
£31,250
25th Percentile
£39,500
£41,250
£43,750
Median annual salary (50th Percentile)
£55,000
£60,000
£60,000
Median % change year-on-year
-8.33%
-
-
75th Percentile
£70,000
£77,500
£75,000
90th Percentile
£81,250
£92,500
£82,500
Berkshire median annual salary
£55,000
£57,500
£57,500
% change year-on-year
-4.35%
-
+4.55%
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
3-month moving average salary quoted in jobs citing Data Cleansing in Reading.
Data Cleansing Salary Histogram in Reading
Salary distribution for jobs citing Data Cleansing in Reading over the 6 months to 18 April 2024.
Data Cleansing Top 16 Co-occurring Skills and Capabilities in Reading
For the 6 months to 18 April 2024, 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:
