Microsoft Power Automate (Formerly Microsoft Flow) East Sussex> Brighton
The table below provides summary statistics for permanent job vacancies advertised in Brighton requiring Power Automate skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Power Automate over the 6 months leading up to 15 May 2025, comparing them to the same period in the previous two years.
Power Automate 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 Brighton.
Permanent vacancies with a requirement for cloud computing skills
72
209
302
As % of all permanent jobs advertised in Brighton
37.89%
48.83%
46.11%
Number of salaries quoted
66
200
254
10th Percentile
£45,000
£23,000
£30,000
25th Percentile
£47,500
£32,500
£42,500
Median annual salary (50th Percentile)
£55,000
£52,500
£55,000
Median % change year-on-year
+4.76%
-4.55%
-8.33%
75th Percentile
£72,500
£72,500
£65,000
90th Percentile
£85,000
£80,000
£78,375
East Sussex median annual salary
£55,000
£52,500
£55,000
% change year-on-year
+4.76%
-4.55%
-7.56%
Power Automate Job Vacancy Trend in Brighton
Job postings citing Power Automate as a proportion of all IT jobs advertised in Brighton.
Power Automate Salary Trend in Brighton
3-month moving average salary quoted in jobs citing Power Automate in Brighton.
Power Automate Salary Histogram in Brighton
Salary distribution for jobs citing Power Automate in Brighton over the 6 months to 15 May 2025.
Power Automate Top 19 Co-occurring Skills and Capabilities in Brighton
For the 6 months to 15 May 2025, 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 Brighton region with a requirement for Power Automate.
Power Automate Co-occurring Skills and Capabilities in Brighton 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:
