Microsoft Power BI
Cumbria > Kendal
The following table provides summary statistics for permanent job vacancies advertised in Kendal 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 6 May 2024 with a comparison to the same period in the previous 2 years.
| 6 months to 6 May 2024 |
Same period 2023 | Same period 2022 | |
|---|---|---|---|
| Rank | 6 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Power BI | 4 | 0 | 0 |
| As % of all permanent jobs advertised in Kendal | 15.38% | - | - |
| As % of the Database & Business Intelligence category | 100.00% | - | - |
| Number of salaries quoted | 4 | 0 | 0 |
| 10th Percentile | £39,775 | - | - |
| 25th Percentile | £43,938 | - | - |
| Median annual salary (50th Percentile) | £50,000 | - | - |
| 75th Percentile | £53,750 | - | - |
| 90th Percentile | - | - | - |
| Cumbria median annual salary | £42,500 | - | £47,000 |
All Database and Business Intelligence Skills
Kendal
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 Kendal with a requirement for database or business intelligence skills.
| Permanent vacancies with a requirement for database or business intelligence skills | 4 | 0 | 0 |
| As % of all permanent jobs advertised in Kendal | 15.38% | - | - |
| Number of salaries quoted | 4 | 0 | 0 |
| 10th Percentile | £39,775 | - | - |
| 25th Percentile | £43,938 | - | - |
| Median annual salary (50th Percentile) | £50,000 | - | - |
| 75th Percentile | £53,750 | - | - |
| 90th Percentile | - | - | - |
| Cumbria median annual salary | £45,000 | £57,500 | £35,000 |
| % change year-on-year | -21.74% | +64.29% | -12.50% |
Power BI
Salary Histogram in Kendal
Salary distribution for jobs citing Power BI in Kendal over the 6 months to 6 May 2024.
Power BI
Co-occurring Skills and Capabilities in Kendal 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: