The table below provides summary statistics and salary benchmarking for jobs advertised in Stoke-on-Trent requiring Data Extraction skills. It covers permanent job vacancies from the 6 months leading up to 4 November 2025, with comparisons to the same periods 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 permanent job vacancies requiring process or methodology skills in Stoke-on-Trent.
Permanent vacancies with a requirement for process or methodology skills
90
161
123
As % of all permanent jobs advertised in Stoke-on-Trent
81.08%
83.85%
95.35%
Number of salaries quoted
31
118
108
10th Percentile
£26,250
£27,500
£23,500
25th Percentile
£29,000
£32,500
£28,688
Median annual salary (50th Percentile)
£35,000
£40,000
£40,000
Median % change year-on-year
-12.50%
-
+3.90%
75th Percentile
£43,375
£53,438
£57,500
90th Percentile
£68,750
£65,000
£70,375
Staffordshire median annual salary
£42,500
£45,000
£40,750
% change year-on-year
-5.56%
+10.43%
-9.44%
Data Extraction Job Vacancy Trend in Stoke-on-Trent
Historical trend showing the proportion of permanent IT job postings citing Data Extraction relative to all permanent IT jobs advertised in Stoke-on-Trent.
Data Extraction Salary Trend in Stoke-on-Trent
Salary distribution trend for jobs in Stoke-on-Trent citing Data Extraction.
Data Extraction Top 21 Co-Occurring Skills & Capabilities in Stoke-on-Trent
For the 6 months to 4 November 2025, job vacancies citing Data Extraction 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 Stoke-on-Trent region with a requirement for Data Extraction.
Data Extraction Co-Occurring Skills & Capabilities in Stoke-on-Trent 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:
