Microsoft Power Query
North East > Durham
The following table provides summary statistics for permanent job vacancies advertised in Durham with a requirement for Power Query skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Power Query over the 6 months to 28 April 2024 with a comparison to the same period in the previous 2 years.
| 6 months to 28 Apr 2024 |
Same period 2023 | Same period 2022 | |
|---|---|---|---|
| Rank | 49 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Power Query | 1 | 0 | 0 |
| As % of all permanent jobs advertised in Durham | 0.24% | - | - |
| As % of the Database & Business Intelligence category | 1.19% | - | - |
| Number of salaries quoted | 1 | 0 | 0 |
| Median annual salary (50th Percentile) | £50,000 | - | - |
| North East median annual salary | £50,000 | £52,500 | - |
| % change year-on-year | -4.76% | - | - |
All Database and Business Intelligence Skills
Durham
Power Query 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 Durham with a requirement for database or business intelligence skills.
| Permanent vacancies with a requirement for database or business intelligence skills | 84 | 56 | 41 |
| As % of all permanent jobs advertised in Durham | 19.95% | 17.72% | 15.65% |
| Number of salaries quoted | 64 | 27 | 37 |
| 10th Percentile | £29,150 | £36,332 | £19,000 |
| 25th Percentile | £31,250 | £40,000 | £28,500 |
| Median annual salary (50th Percentile) | £42,500 | £40,500 | £35,000 |
| Median % change year-on-year | +4.94% | +15.71% | -12.50% |
| 75th Percentile | £58,438 | £47,500 | £43,250 |
| 90th Percentile | £62,500 | £57,736 | £49,050 |
| North East median annual salary | £50,000 | £49,557 | £40,000 |
| % change year-on-year | +0.89% | +23.89% | -10.36% |
Power Query
Co-occurring Skills and Capabilities in Durham 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: