The following table is for comparison with the above and includes summary statistics for all contract IT job vacancies advertised in Milton Keynes. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of contract jobs in our overall sample.
Contract vacancies in Milton Keynes with a recognized job title
379
703
636
% of contract IT jobs with a recognized job title
93.58%
92.74%
97.85%
Number of daily rates quoted
288
576
500
10th Percentile
£254
£264
£200
25th Percentile
£400
£400
£362
Median daily rate (50th Percentile)
£475
£475
£475
Median % change year-on-year
-
-
+2.70%
75th Percentile
£586
£560
£569
90th Percentile
£708
£650
£650
Buckinghamshire median daily rate
£475
£475
£468
% change year-on-year
-
+1.50%
+4.00%
Number of hourly rates quoted
25
2
35
10th Percentile
£15.85
£9.87
£10.52
25th Percentile
£18.00
£10.42
-
Median hourly rate
£22.58
£11.58
£10.77
Median % change year-on-year
+94.99%
+7.52%
-22.80%
75th Percentile
£30.00
£12.50
£15.26
90th Percentile
£48.75
£12.89
£24.00
Buckinghamshire median hourly rate
£23.75
£13.16
£12.28
% change year-on-year
+80.47%
+7.21%
-12.32%
Power BI Developer Job Vacancy Trend in Milton Keynes
Job postings that featured Power BI Developer in the job title as a proportion of all IT jobs advertised in Milton Keynes.
Power BI Developer Contractor Daily Rate Trend in Milton Keynes
3-month moving average daily rate quoted in jobs citing Power BI Developer in Milton Keynes.
Power BI Developer Skill Set Top 19 Co-occurring Skills and Capabilities in Milton Keynes
For the 6 months to 25 April 2024, Power BI Developer contract job roles required the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all contract job ads across the Milton Keynes region featuring Power BI Developer in the job title.
Power BI Developer Skill Set Co-occurring Skills and Capabilities in Milton Keynes 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:
