Power Query Job Trends in Doncaster

Microsoft Power Query
South Yorkshire > Doncaster

The table below provides summary statistics and salary benchmarking for jobs advertised in Doncaster citing Power Query skills. It covers permanent job vacancies from the 6 months leading up to 8 November 2026, with comparisons to the same periods in the previous two years.

6 months to
8 Nov 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 Doncaster 0.23% - -
As % of the Database & Business Intelligence category 33.33% - -
Number of salaries quoted 1 0 0
Median annual salary (50th Percentile) £60,000 - -
South Yorkshire median annual salary £50,000 - £56,250
% change year-on-year - - +12.50%

All Database & Business Intelligence Skills
Doncaster

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 citing database or business intelligence skills in Doncaster.

6 months to
8 Nov 2026
Same period 2025 Same period 2024
Permanent vacancies citing database or business intelligence skills 3 4 10
As % of all permanent jobs advertised in Doncaster 0.70% 3.57% 15.38%
Number of salaries quoted 3 0 4
10th Percentile - - £36,725
25th Percentile £26,250 - £40,438
Median annual salary (50th Percentile) £27,500 - £45,000
Median % change year-on-year - - +5.88%
75th Percentile £44,375 - £50,625
90th Percentile £53,750 - £56,250
South Yorkshire median annual salary £55,000 £40,000 £46,000
% change year-on-year +37.50% -13.04% +2.22%

Power Query Job Vacancy Trend in Doncaster

Historical trend showing the proportion of permanent IT job postings citing Power Query relative to all permanent IT jobs advertised in Doncaster.

Power Query job vacancy trend in Doncaster

Power Query Co-Occurring Skills & Capabilities in Doncaster by Category

The table below expands on the one above by listing co-occurrences one category at a time. It covers the same employment type, locality and period, with up to 20 co-occurrences in each category.