Splunk
Stirling > Stirlingshire
The table below provides summary statistics for permanent job vacancies advertised in Stirlingshire requiring knowledge or experience of Splunk products and/or services. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Splunk over the 6 months leading up to 1 October 2025, comparing them to the same period in the previous two years.
The figures below represent the IT labour market in general and are not representative of salaries within Splunk, Inc.
| 6 months to 1 Oct 2025 |
Same period 2024 | Same period 2023 | |
|---|---|---|---|
| Rank | 13 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Splunk | 2 | 0 | 0 |
| As % of all permanent jobs in Stirlingshire | 4.35% | - | - |
| As % of the Vendors category | 12.50% | - | - |
| Number of salaries quoted | 0 | 0 | 0 |
| Median annual salary (50th Percentile) | - | - | - |
| Stirling median annual salary | - | - | - |
All Vendors
Stirlingshire
Splunk falls under the Vendor Products and Services category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring knowledge or experience of all vendor products and services in Stirlingshire.
| Permanent vacancies with a requirement for knowledge or experience of vendor products and services | 16 | 12 | 9 |
| As % of all permanent jobs advertised in Stirlingshire | 34.78% | 24.00% | 50.00% |
| Number of salaries quoted | 2 | 7 | 7 |
| 10th Percentile | £26,350 | £29,750 | £26,625 |
| 25th Percentile | £27,625 | £38,000 | £32,688 |
| Median annual salary (50th Percentile) | £30,000 | £50,000 | £38,000 |
| Median % change year-on-year | -40.00% | +31.58% | +4.87% |
| 75th Percentile | £32,125 | - | £49,375 |
| 90th Percentile | £33,250 | £54,000 | £51,500 |
| Stirling median annual salary | £30,000 | £50,000 | £38,000 |
| % change year-on-year | -40.00% | +31.58% | +4.87% |
Splunk
Co-Occurring Skills & Capabilities in Stirlingshire 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: