The table below provides summary statistics for contract job vacancies advertised in Swindon requiring Data Extraction skills. It includes a benchmarking guide to the contractor rates offered in vacancies that cited Data Extraction over the 6 months leading up to 1 May 2025, comparing them to the same period in the previous two years.
Data Extraction falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring process or methodology skills in Swindon.
Contract vacancies with a requirement for process or methodology skills
89
92
201
As % of all contract IT jobs advertised in Swindon
90.82%
74.80%
86.27%
Number of daily rates quoted
57
47
160
10th Percentile
£311
£139
£359
25th Percentile
£413
£263
£456
Median daily rate (50th Percentile)
£500
£465
£525
Median % change year-on-year
+7.53%
-11.43%
+5.00%
75th Percentile
£600
£550
£605
90th Percentile
£650
£623
£696
Wiltshire median daily rate
£563
£545
£575
% change year-on-year
+3.21%
-5.22%
+9.52%
Number of hourly rates quoted
0
10
0
Median hourly rate
-
£16.50
-
Wiltshire median hourly rate
£18.87
£14.54
£68.15
% change year-on-year
+29.78%
-78.66%
+15.02%
Data Extraction Job Vacancy Trend in Swindon
Job postings citing Data Extraction as a proportion of all IT jobs advertised in Swindon.
Data Extraction Contractor Daily Rate Trend in Swindon
3-month moving average daily rate quoted in jobs citing Data Extraction in Swindon.
Data Extraction Top 22 Co-occurring Skills and Capabilities in Swindon
For the 6 months to 1 May 2025, contractor job vacancies citing Data Extraction 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 contract job ads across the Swindon region with a requirement for Data Extraction.
Data Extraction Co-occurring Skills and Capabilities in Swindon 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:
