Microsoft Power Automate (Formerly Microsoft Flow) Oxfordshire> Oxford
The following table provides summary statistics for permanent job vacancies advertised in Oxford 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 1 May 2024 with a comparison to the same period in the previous 2 years.
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 Oxford with a requirement for cloud computing skills.
Permanent vacancies with a requirement for cloud computing skills
218
157
218
As % of all permanent jobs advertised in Oxford
33.23%
33.26%
42.66%
Number of salaries quoted
169
126
167
10th Percentile
£31,200
£26,250
£29,250
25th Percentile
£39,000
£36,563
£41,250
Median annual salary (50th Percentile)
£52,500
£55,000
£62,500
Median % change year-on-year
-4.55%
-12.00%
+25.00%
75th Percentile
£62,500
£73,750
£68,750
90th Percentile
£65,000
£87,625
£83,000
Oxfordshire median annual salary
£49,941
£52,500
£61,250
% change year-on-year
-4.88%
-14.29%
+22.50%
Power Automate Job Vacancy Trend in Oxford
Job postings citing Power Automate as a proportion of all IT jobs advertised in Oxford.
Power Automate Salary Trend in Oxford
3-month moving average salary quoted in jobs citing Power Automate in Oxford.
Power Automate Salary Histogram in Oxford
Salary distribution for jobs citing Power Automate in Oxford over the 6 months to 1 May 2024.
Power Automate Top 19 Co-occurring Skills and Capabilities in Oxford
For the 6 months to 1 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 Oxford region with a requirement for Power Automate.
Power Automate Co-occurring Skills and Capabilities in Oxford 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:
