Microsoft Azure Blueprints
Oxfordshire > Thame
The following table provides summary statistics for permanent job vacancies advertised in Thame with a requirement for Azure Blueprints skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Azure Blueprints over the 6 months to 4 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 4 May 2024 |
Same period 2023 | Same period 2022 | |
---|---|---|---|
Rank | 6 | - | - |
Rank change year-on-year | - | - | - |
Permanent jobs citing Azure Blueprints | 1 | 0 | 0 |
As % of all permanent jobs advertised in Thame | 5.56% | - | - |
As % of the Libraries, Frameworks & Software Standards category | 100.00% | - | - |
Number of salaries quoted | 1 | 0 | 0 |
10th Percentile | - | - | - |
25th Percentile | £71,250 | - | - |
Median annual salary (50th Percentile) | £72,500 | - | - |
75th Percentile | £73,750 | - | - |
90th Percentile | - | - | - |
Oxfordshire median annual salary | £72,500 | - | - |
All Software Libraries and Frameworks
Thame
Azure Blueprints is in the Software Libraries and Frameworks category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Thame with a requirement for technical specification, industry standards, software libraries and framework skills.
Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills | 1 | 0 | 2 |
As % of all permanent jobs advertised in Thame | 5.56% | - | 11.11% |
Number of salaries quoted | 1 | 0 | 2 |
10th Percentile | - | - | £40,625 |
25th Percentile | £71,250 | - | £43,438 |
Median annual salary (50th Percentile) | £72,500 | - | £51,250 |
75th Percentile | £73,750 | - | £58,438 |
90th Percentile | - | - | £60,875 |
Oxfordshire median annual salary | £52,500 | £55,000 | £56,626 |
% change year-on-year | -4.55% | -2.87% | +13.25% |
Azure Blueprints
Co-occurring Skills and Capabilities in Thame 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: