Data Cleansing (Data Cleaning, Data Scrubbing)
West Sussex > Worthing
The table below provides summary statistics and salary benchmarking for jobs advertised in Worthing requiring Data Cleansing skills. It covers permanent job vacancies from the 6 months leading up to 4 August 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
4 Aug 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
27 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing Data Cleansing |
1 |
0 |
0 |
| As % of all permanent jobs in Worthing |
0.76% |
- |
- |
| As % of the Processes & Methodologies category |
1.04% |
- |
- |
| Number of salaries quoted |
0 |
0 |
0 |
| Median annual salary (50th Percentile) |
- |
- |
- |
| West Sussex median annual salary |
- |
£70,000 |
- |
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 Worthing.
| Permanent vacancies with a requirement for process or methodology skills |
96 |
61 |
55 |
| As % of all permanent jobs advertised in Worthing |
73.28% |
96.83% |
93.22% |
| Number of salaries quoted |
95 |
57 |
32 |
| 10th Percentile |
£40,000 |
£49,250 |
£33,500 |
| 25th Percentile |
£50,000 |
£52,500 |
£46,250 |
| Median annual salary (50th Percentile) |
£65,000 |
£60,000 |
£57,500 |
| Median % change year-on-year |
+8.33% |
+4.35% |
-4.17% |
| 75th Percentile |
£82,500 |
£70,000 |
£60,000 |
| 90th Percentile |
£91,250 |
£84,500 |
£64,725 |
| West Sussex median annual salary |
£59,500 |
£50,750 |
£55,000 |
| % change year-on-year |
+17.24% |
-7.73% |
- |
Data Cleansing
Job Vacancy Trend in Worthing
Historical trend showing the proportion of permanent IT job postings citing Data Cleansing relative to all permanent IT jobs advertised in Worthing.
Data Cleansing
Co-Occurring Skills & Capabilities in Worthing 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:
