Microsoft Power Query
Wiltshire > Swindon
The table below provides summary statistics and salary benchmarking for jobs advertised in Swindon requiring Power Query skills. It covers permanent job vacancies from the 6 months leading up to 4 August 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
4 Aug 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
36 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing Power Query |
1 |
0 |
0 |
| As % of all permanent jobs in Swindon |
0.25% |
- |
- |
| As % of the Database & Business Intelligence category |
4.00% |
- |
- |
| Number of salaries quoted |
0 |
0 |
0 |
| Median annual salary (50th Percentile) |
- |
- |
- |
| Wiltshire median annual salary |
£47,500 |
- |
- |
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 Swindon.
| Permanent vacancies with a requirement for database or business intelligence skills |
25 |
11 |
49 |
| As % of all permanent jobs advertised in Swindon |
6.27% |
7.10% |
13.88% |
| Number of salaries quoted |
13 |
8 |
42 |
| 10th Percentile |
- |
- |
£33,416 |
| 25th Percentile |
£52,500 |
£36,650 |
£40,000 |
| Median annual salary (50th Percentile) |
£57,500 |
£39,575 |
£65,000 |
| Median % change year-on-year |
+45.29% |
-39.12% |
-5.45% |
| 75th Percentile |
£70,752 |
£71,563 |
£71,125 |
| 90th Percentile |
£83,535 |
£83,750 |
£72,500 |
| Wiltshire median annual salary |
£57,500 |
£54,000 |
£65,000 |
| % change year-on-year |
+6.48% |
-16.92% |
+20.37% |
Power Query
Job Vacancy Trend in Swindon
Historical trend showing the proportion of permanent IT job postings citing Power Query relative to all permanent IT jobs advertised in Swindon.
Power Query
Salary Trend in Swindon
Salary distribution trend for jobs in Swindon citing Power Query.
Power Query
Co-Occurring Skills & Capabilities in Swindon 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:
