Microsoft Power Automate (Formerly Microsoft Flow) Cambridgeshire> Cambridge
The following table provides summary statistics for permanent job vacancies advertised in Cambridge with a requirement for Power Automate skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Power Automate over the 6 months to 14 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 14 May 2024
Same period 2023
Same period 2022
Rank
80
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Power Automate
4
0
0
As % of all permanent jobs advertised in Cambridge
Power Automate is in the Cloud Services category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Cambridge with a requirement for cloud computing skills.
Permanent vacancies with a requirement for cloud computing skills
258
276
584
As % of all permanent jobs advertised in Cambridge
25.75%
29.27%
35.16%
Number of salaries quoted
216
185
238
10th Percentile
£32,500
£30,000
£28,850
25th Percentile
£41,250
£36,250
£42,125
Median annual salary (50th Percentile)
£58,000
£50,000
£58,000
Median % change year-on-year
+16.00%
-13.79%
+0.87%
75th Percentile
£75,188
£72,500
£75,000
90th Percentile
£91,875
£92,500
£89,125
Cambridgeshire median annual salary
£52,500
£50,000
£52,500
% change year-on-year
+5.00%
-4.76%
-8.70%
Power Automate Job Vacancy Trend in Cambridge
Job postings citing Power Automate as a proportion of all IT jobs advertised in Cambridge.
Power Automate Top 12 Co-occurring Skills and Capabilities in Cambridge
For the 6 months to 14 May 2024, job vacancies citing Power Automate 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 Cambridge region with a requirement for Power Automate.
Power Automate Co-occurring Skills and Capabilities in Cambridge 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:
