The table below provides summary statistics for permanent job vacancies advertised in Teddington requiring Power Platform skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Power Platform over the 6 months leading up to 10 May 2025, comparing them to the same period in the previous two years.
6 months to 10 May 2025
Same period 2024
Same period 2023
Rank
8
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Power Platform
1
0
0
As % of all permanent jobs advertised in Teddington
Power Platform 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 Teddington.
Permanent vacancies with a requirement for cloud computing skills
11
13
5
As % of all permanent jobs advertised in Teddington
57.89%
35.14%
26.32%
Number of salaries quoted
0
2
4
10th Percentile
-
£52,875
-
25th Percentile
-
£53,438
£40,000
Median annual salary (50th Percentile)
-
£56,250
£42,500
Median % change year-on-year
-
+32.35%
+13.33%
75th Percentile
-
£58,438
£46,250
90th Percentile
-
£58,625
£48,500
Richmond upon Thames median annual salary
£49,000
£57,500
£55,414
% change year-on-year
-14.78%
+3.76%
-1.92%
Power Platform Job Vacancy Trend in Teddington
Job postings citing Power Platform as a proportion of all IT jobs advertised in Teddington.
Power Platform Salary Trend in Teddington
3-month moving average salary quoted in jobs citing Power Platform in Teddington.
Power Platform Top 11 Co-occurring Skills and Capabilities in Teddington
For the 6 months to 10 May 2025, job vacancies citing Power Platform also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Teddington region with a requirement for Power Platform.
Power Platform Co-occurring Skills and Capabilities in Teddington 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:
