Microsoft Power Query
Derbyshire > Alfreton
The table below provides summary statistics and salary benchmarking for jobs advertised in Alfreton requiring Power Query skills. It covers permanent job vacancies from the 6 months leading up to 20 June 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to 20 Jun 2026 |
Same period 2025 | Same period 2024 |
|---|---|---|---|
| Rank | 7 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Power Query | 1 | 0 | 0 |
| As % of all permanent jobs in Alfreton | 4.55% | - | - |
| As % of the Database & Business Intelligence category | 25.00% | - | - |
| Number of salaries quoted | 1 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £67,500 | - | - |
| Median annual salary (50th Percentile) | £70,000 | - | - |
| 75th Percentile | £72,500 | - | - |
| 90th Percentile | - | - | - |
| Derbyshire median annual salary | £70,000 | - | £41,000 |
| % change year-on-year | - | - | -13.68% |
All Database & Business Intelligence Skills
Alfreton
Power Query 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 Alfreton.
| Permanent vacancies with a requirement for database or business intelligence skills | 4 | 0 | 2 |
| As % of all permanent jobs advertised in Alfreton | 18.18% | - | 11.11% |
| Number of salaries quoted | 4 | 0 | 2 |
| 10th Percentile | - | - | - |
| 25th Percentile | £57,500 | - | £52,500 |
| Median annual salary (50th Percentile) | £60,000 | - | £60,000 |
| Median % change year-on-year | - | - | +120.18% |
| 75th Percentile | £65,000 | - | £67,500 |
| 90th Percentile | £69,500 | - | - |
| Derbyshire median annual salary | £55,000 | £42,500 | £50,000 |
| % change year-on-year | +29.41% | -15.00% | - |
Power Query
Co-Occurring Skills & Capabilities in Alfreton 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: