Azure Monitor (Azure Log Analytics, Azure Application Insights, Azure Diagnostics)
Staffordshire > Stoke-on-Trent
The table below provides summary statistics and salary benchmarking for jobs advertised in Stoke-on-Trent requiring Azure Monitor skills. It covers permanent job vacancies from the 6 months leading up to 17 September 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to 17 Sep 2026 |
Same period 2025 | Same period 2024 |
|---|---|---|---|
| Rank | 34 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Azure Monitor | 2 | 0 | 0 |
| As % of all permanent jobs in Stoke-on-Trent | 0.48% | - | - |
| As % of the Cloud Services category | 2.41% | - | - |
| Number of salaries quoted | 1 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £31,250 | - | - |
| Median annual salary (50th Percentile) | £32,500 | - | - |
| 75th Percentile | £33,750 | - | - |
| 90th Percentile | - | - | - |
| Staffordshire median annual salary | £32,500 | - | - |
All Cloud Computing Skills
Stoke-on-Trent
Azure Monitor falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring cloud computing skills in Stoke-on-Trent.
| Permanent vacancies with a requirement for cloud computing skills | 83 | 32 | 77 |
| As % of all permanent jobs advertised in Stoke-on-Trent | 20.05% | 29.63% | 33.48% |
| Number of salaries quoted | 42 | 29 | 59 |
| 10th Percentile | £27,600 | - | £23,500 |
| 25th Percentile | £29,000 | £32,500 | £31,250 |
| Median annual salary (50th Percentile) | £46,750 | £39,500 | £35,000 |
| Median % change year-on-year | +18.35% | +12.86% | -4.44% |
| 75th Percentile | £60,000 | £61,250 | £65,000 |
| 90th Percentile | £72,250 | £68,750 | £68,750 |
| Staffordshire median annual salary | £52,500 | £53,688 | £40,000 |
| % change year-on-year | -2.21% | +34.22% | - |
Azure Monitor
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: