Microsoft Power Query
Cheshire > Crewe
The table below provides summary statistics and salary benchmarking for jobs advertised in Crewe requiring Power Query skills. It covers permanent job vacancies from the 6 months leading up to 31 December 2025, with comparisons to the same periods in the previous two years.
|
|
6 months to
31 Dec 2025 |
Same period 2024 |
Same period 2023 |
| Rank |
25 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing Power Query |
1 |
0 |
0 |
| As % of all permanent jobs in Crewe |
0.93% |
- |
- |
| As % of the Database & Business Intelligence category |
3.85% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| Median annual salary (50th Percentile) |
£45,000 |
- |
- |
| Cheshire median annual salary |
£55,000 |
£58,750 |
£38,000 |
| % change year-on-year |
-6.38% |
+54.61% |
- |
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 Crewe.
| Permanent vacancies with a requirement for database or business intelligence skills |
26 |
20 |
9 |
| As % of all permanent jobs advertised in Crewe |
24.30% |
33.90% |
34.62% |
| Number of salaries quoted |
26 |
14 |
9 |
| 10th Percentile |
£45,000 |
- |
£33,200 |
| 25th Percentile |
£46,250 |
£47,500 |
£35,000 |
| Median annual salary (50th Percentile) |
£50,000 |
£50,000 |
£70,000 |
| Median % change year-on-year |
- |
-28.57% |
+40.00% |
| 75th Percentile |
£55,000 |
£54,375 |
£77,500 |
| 90th Percentile |
- |
£55,000 |
£83,500 |
| Cheshire median annual salary |
£48,979 |
£50,000 |
£37,500 |
| % change year-on-year |
-2.04% |
+33.33% |
-16.67% |
Power Query
Job Vacancy Trend in Crewe
Historical trend showing the proportion of permanent IT job postings citing Power Query relative to all permanent IT jobs advertised in Crewe.
Power Query
Co-Occurring Skills & Capabilities in Crewe 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:
