Microsoft 365 (M365, Office 365, O365)
Kensington and Chelsea > Chelsea
The table below provides summary statistics and contractor rates for jobs advertised in Chelsea requiring Microsoft 365 skills. It covers contract job vacancies from the 6 months leading up to 24 December 2025, with comparisons to the same periods in the previous two years.
|
|
6 months to 24 Dec 2025 |
Same period 2024 |
Same period 2023 |
| Rank |
2 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Contract jobs citing Microsoft 365 |
1 |
0 |
0 |
| As % of all contract jobs in Chelsea |
50.00% |
- |
- |
| As % of the Cloud Services category |
50.00% |
- |
- |
| Number of daily rates quoted |
1 |
0 |
0 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£563 |
- |
- |
| Median daily rate (50th Percentile) |
£575 |
- |
- |
| 75th Percentile |
£588 |
- |
- |
| 90th Percentile |
- |
- |
- |
| Kensington and Chelsea median daily rate |
£575 |
- |
- |
Microsoft 365 falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring cloud computing skills in Chelsea.
| Contract vacancies with a requirement for cloud computing skills |
2 |
1 |
0 |
| As % of all contract IT jobs advertised in Chelsea |
100.00% |
14.29% |
- |
| Number of daily rates quoted |
2 |
0 |
0 |
| 10th Percentile |
£578 |
- |
- |
| 25th Percentile |
£600 |
- |
- |
| Median daily rate (50th Percentile) |
£650 |
- |
- |
| 75th Percentile |
£700 |
- |
- |
| 90th Percentile |
£723 |
- |
- |
| Kensington and Chelsea median daily rate |
£650 |
- |
- |
Microsoft 365
Job Vacancy Trend in Chelsea
Historical trend showing the proportion of contract IT job postings citing Microsoft 365 relative to all contract IT jobs advertised in Chelsea.
Microsoft 365
Daily Rate Trend in Chelsea
Contractor daily rate distribution trend for jobs in Chelsea citing Microsoft 365.
Microsoft 365
Co-Occurring Skills & Capabilities in Chelsea 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: