The median Microsoft Power BI Developer salary in Milton Keynes is £45,000 per year, according to job vacancies posted during the 6 months leading to 22 October 2025.
The table below compares current salary benchmarking and summary statistics with the previous two years.
For comparison with the information above, the following table provides summary statistics for all permanent IT job vacancies 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 permanent jobs in our overall sample.
Permanent vacancies in Milton Keynes with a recognized job title
275
391
519
% of permanent jobs with a recognized job title
88.71%
97.99%
95.93%
Number of salaries quoted
157
280
397
10th Percentile
£36,250
£30,000
£30,500
25th Percentile
£45,000
£37,500
£40,000
Median annual salary (50th Percentile)
£55,000
£50,000
£55,000
Median % change year-on-year
+10.00%
-9.09%
-
75th Percentile
£67,750
£65,000
£72,500
90th Percentile
£80,250
£80,000
£81,250
Buckinghamshire median annual salary
£45,000
£50,000
£55,000
% change year-on-year
-10.00%
-9.09%
-
Power BI Developer Job Vacancy Trend in Milton Keynes
Historical trend showing the proportion of permanent IT job postings featuring 'Power BI Developer' in the job title relative to all permanent IT jobs advertised in Milton Keynes.
Power BI Developer Salary Trend in Milton Keynes
Salary distribution trend for Power BI Developer job vacancies in Milton Keynes.
Power BI Developer Skill Set Top 8 Co-Occurring Skills & Capabilities in Milton Keynes
For the 6 months to 22 October 2025, Power BI Developer job roles required the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Milton Keynes region featuring Power BI Developer in the job title.
Power BI Developer Skill Set Co-Occurring Skills & Capabilities in Milton Keynes by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
