Microsoft Power BI
Staffordshire > Leek
The following table provides summary statistics for permanent job vacancies advertised in Leek with a requirement for Power BI skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Power BI over the 6 months to 21 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 21 May 2024 |
Same period 2023 | Same period 2022 | |
---|---|---|---|
Rank | 4 | 6 | - |
Rank change year-on-year | +2 | - | - |
Permanent jobs citing Power BI | 3 | 1 | 0 |
As % of all permanent jobs advertised in Leek | 30.00% | 12.50% | - |
As % of the Database & Business Intelligence category | 42.86% | 100.00% | - |
Number of salaries quoted | 1 | 0 | 0 |
Median annual salary (50th Percentile) | £55,000 | - | - |
Staffordshire median annual salary | £57,500 | £47,500 | £42,500 |
% change year-on-year | +21.05% | +11.76% | +13.33% |
All Database and Business Intelligence Skills
Leek
Power BI is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Leek with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills | 7 | 1 | 10 |
As % of all permanent jobs advertised in Leek | 70.00% | 12.50% | 29.41% |
Number of salaries quoted | 5 | 0 | 0 |
10th Percentile | - | - | - |
25th Percentile | - | - | - |
Median annual salary (50th Percentile) | £35,000 | - | - |
75th Percentile | £55,000 | - | - |
90th Percentile | £57,250 | - | - |
Staffordshire median annual salary | £50,000 | £45,000 | £45,000 |
% change year-on-year | +11.11% | - | +20.00% |
Power BI
Job Vacancy Trend in Leek
Job postings citing Power BI as a proportion of all IT jobs advertised in Leek.
Power BI
Salary Trend in Leek
3-month moving average salary quoted in jobs citing Power BI in Leek.
Power BI
Co-occurring Skills and Capabilities in Leek 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: