Microsoft Power BI
Tyne and Wear > Jarrow
The table below provides summary statistics for permanent job vacancies advertised in Jarrow requiring Power BI skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Power BI over the 6 months leading up to 12 May 2025, comparing them to the same period in the previous two years.
| 6 months to 12 May 2025 |
Same period 2024 | Same period 2023 | |
|---|---|---|---|
| Rank | 1 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Power BI | 2 | 0 | 0 |
| As % of all permanent jobs advertised in Jarrow | 100.00% | - | - |
| As % of the Database & Business Intelligence category | 100.00% | - | - |
| Number of salaries quoted | 2 | 0 | 0 |
| 10th Percentile | £36,980 | - | - |
| 25th Percentile | £37,325 | - | - |
| Median annual salary (50th Percentile) | £38,800 | - | - |
| 75th Percentile | £39,975 | - | - |
| 90th Percentile | £40,140 | - | - |
| Tyne and Wear median annual salary | £53,750 | £45,000 | £45,000 |
| % change year-on-year | +19.44% | - | +5.88% |
All Database and Business Intelligence Skills
Jarrow
Power BI falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Jarrow.
| Permanent vacancies with a requirement for database or business intelligence skills | 2 | 0 | 0 |
| As % of all permanent jobs advertised in Jarrow | 100.00% | - | - |
| Number of salaries quoted | 2 | 0 | 0 |
| 10th Percentile | £36,980 | - | - |
| 25th Percentile | £37,325 | - | - |
| Median annual salary (50th Percentile) | £38,800 | - | - |
| 75th Percentile | £39,975 | - | - |
| 90th Percentile | £40,140 | - | - |
| Tyne and Wear median annual salary | £55,000 | £50,000 | £53,750 |
| % change year-on-year | +10.00% | -6.98% | +19.44% |
Power BI
Co-occurring Skills and Capabilities in Jarrow 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: