As of 2 May 2024, there is not enough information available from job vacancies posted within the last 6 months to determine the median Microsoft Power BI Analyst salary in Glamorgan.
6 months to 2 May 2024
Same period 2023
Same period 2022
Rank
12
13
-
Rank change year-on-year
+1
-
-
Permanent jobs requiring a Power BI Analyst
3
10
0
As % of all permanent jobs advertised in Glamorgan
The following table is for comparison with the above and includes summary statistics for all permanent IT job vacancies advertised in Glamorgan. 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 Glamorgan with a recognized job title
29
56
72
% of permanent jobs with a recognized job title
67.44%
100.00%
96.00%
Number of salaries quoted
9
26
18
10th Percentile
-
£21,750
£24,200
25th Percentile
£28,290
£30,625
£26,188
Median annual salary (50th Percentile)
£33,000
£37,500
£42,500
Median % change year-on-year
-12.00%
-11.76%
-34.62%
75th Percentile
£37,669
£42,500
£47,665
90th Percentile
£41,250
£54,000
-
South Wales median annual salary
£45,000
£45,496
£50,000
% change year-on-year
-1.09%
-9.01%
+11.11%
Power BI Analyst Job Vacancy Trend in Glamorgan
Job postings that featured Power BI Analyst in the job title as a proportion of all IT jobs advertised in Glamorgan.
Power BI Analyst Salary Trend in Glamorgan
3-month moving average salary quoted in jobs citing Power BI Analyst in Glamorgan.
Power BI Analyst Skill Set Top 18 Co-occurring Skills and Capabilities in Glamorgan
For the 6 months to 2 May 2024, Power BI Analyst 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 permanent job ads across the Glamorgan region featuring Power BI Analyst in the job title.
Power BI Analyst Skill Set Co-occurring Skills and Capabilities in Glamorgan 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: