The table below provides summary statistics and salary benchmarking for jobs advertised in Neath requiring Power BI skills. It covers permanent job vacancies from the 6 months leading up to 18 September 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
18 Sep 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
18 |
- |
6 |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing Power BI |
4 |
0 |
1 |
| As % of all permanent jobs in Neath |
6.78% |
- |
14.29% |
| As % of the Database & Business Intelligence category |
21.05% |
- |
100.00% |
| Number of salaries quoted |
4 |
0 |
1 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£36,750 |
- |
£41,250 |
| Median annual salary (50th Percentile) |
£38,500 |
- |
£47,500 |
| 75th Percentile |
£40,250 |
- |
£53,750 |
| 90th Percentile |
- |
- |
- |
| Neath Port Talbot median annual salary |
£38,500 |
- |
£47,500 |
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 Neath.
| Permanent vacancies with a requirement for database or business intelligence skills |
19 |
0 |
1 |
| As % of all permanent jobs advertised in Neath |
32.20% |
- |
14.29% |
| Number of salaries quoted |
4 |
0 |
1 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
£36,750 |
- |
£41,250 |
| Median annual salary (50th Percentile) |
£38,500 |
- |
£47,500 |
| 75th Percentile |
£40,250 |
- |
£53,750 |
| 90th Percentile |
- |
- |
- |
| Neath Port Talbot median annual salary |
£38,500 |
- |
£47,500 |
Power BI
Job Vacancy Trend in Neath
Historical trend showing the proportion of permanent IT job postings citing Power BI relative to all permanent IT jobs advertised in Neath.
Power BI
Salary Trend in Neath
Salary distribution trend for jobs in Neath citing Power BI.
Power BI
Co-Occurring Skills & Capabilities in Neath 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:
