Data Cleansing (Data Cleaning, Data Scrubbing) Tower Hamlets> Canary Wharf
The table below provides summary statistics and salary benchmarking for jobs advertised in Canary Wharf requiring Data Cleansing skills. It covers permanent job vacancies from the 6 months leading up to 26 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 Canary Wharf.
Permanent vacancies with a requirement for process or methodology skills
7
7
17
As % of all permanent jobs advertised in Canary Wharf
100.00%
87.50%
100.00%
Number of salaries quoted
7
6
14
10th Percentile
£63,750
£64,375
£45,375
25th Percentile
£68,125
£73,875
£50,313
Median annual salary (50th Percentile)
£105,000
£83,750
£52,500
Median % change year-on-year
+25.37%
+59.52%
-30.00%
75th Percentile
£115,000
£92,813
£58,438
90th Percentile
-
£122,500
£84,125
Tower Hamlets median annual salary
£105,000
£74,500
£50,000
% change year-on-year
+40.94%
+49.00%
-33.33%
Data Cleansing Job Vacancy Trend in Canary Wharf
Historical trend showing the proportion of permanent IT job postings citing Data Cleansing relative to all permanent IT jobs advertised in Canary Wharf.
Data Cleansing Salary Trend in Canary Wharf
Salary distribution trend for jobs in Canary Wharf citing Data Cleansing.
Data Cleansing Top 7 Co-Occurring Skills & Capabilities in Canary Wharf
For the 6 months to 26 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 Canary Wharf region with a requirement for Data Cleansing.
Data Cleansing Co-Occurring Skills & Capabilities in Canary Wharf 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:
