eDiscovery (Electronic Discovery)
Staffordshire > Leek
The table below provides summary statistics for permanent job vacancies advertised in Leek requiring E-Discovery skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited E-Discovery over the 6 months leading up to 11 May 2025, comparing them to the same period in the previous two years.
| 6 months to 11 May 2025 |
Same period 2024 | Same period 2023 | |
|---|---|---|---|
| Rank | 8 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing E-Discovery | 1 | 0 | 0 |
| As % of all permanent jobs advertised in Leek | 6.25% | - | - |
| As % of the Processes & Methodologies category | 6.25% | - | - |
| Number of salaries quoted | 1 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £50,171 | - | - |
| Median annual salary (50th Percentile) | £51,447 | - | - |
| 75th Percentile | £52,724 | - | - |
| 90th Percentile | - | - | - |
| Staffordshire median annual salary | £51,447 | - | - |
All Process and Methodology Skills
Leek
E-Discovery 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 Leek.
| Permanent vacancies with a requirement for process or methodology skills | 16 | 10 | 9 |
| As % of all permanent jobs advertised in Leek | 100.00% | 100.00% | 100.00% |
| Number of salaries quoted | 3 | 5 | 6 |
| 10th Percentile | £50,214 | - | - |
| 25th Percentile | £50,280 | - | £22,000 |
| Median annual salary (50th Percentile) | £51,887 | £35,000 | £36,000 |
| Median % change year-on-year | +48.25% | -2.78% | -28.00% |
| 75th Percentile | £53,508 | £55,000 | £52,500 |
| 90th Percentile | £53,583 | £57,250 | - |
| Staffordshire median annual salary | £40,000 | £40,000 | £45,000 |
| % change year-on-year | - | -11.11% | - |
E-Discovery
Co-occurring Skills and Capabilities in Leek 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: