Power Query Jobs in Oxford

Microsoft Power Query
Oxfordshire > Oxford

The table below provides summary statistics for permanent job vacancies advertised in Oxford requiring Power Query skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Power Query over the 6 months leading up to 30 May 2025, comparing them to the same period in the previous two years.

6 months to
30 May 2025
Same period 2024 Same period 2023
Rank 33 67 -
Rank change year-on-year +34 - -
Permanent jobs citing Power Query 1 1 0
As % of all permanent jobs advertised in Oxford 0.49% 0.15% -
As % of the Database & Business Intelligence category 2.44% 0.91% -
Number of salaries quoted 1 1 0
10th Percentile - - -
25th Percentile £36,250 - -
Median annual salary (50th Percentile) £37,500 £28,000 -
Median % change year-on-year +33.93% - -
75th Percentile £38,750 - -
90th Percentile - - -
Oxfordshire median annual salary £37,500 £28,000 £46,325
% change year-on-year +33.93% -39.56% -

All Database and Business Intelligence Skills
Oxford

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 Oxford.

Permanent vacancies with a requirement for database or business intelligence skills 41 110 70
As % of all permanent jobs advertised in Oxford 19.90% 16.39% 15.84%
Number of salaries quoted 32 84 43
10th Percentile £43,750 £29,350 £41,250
25th Percentile £52,500 £41,250 £42,750
Median annual salary (50th Percentile) £57,500 £53,500 £50,000
Median % change year-on-year +7.48% +7.00% -20.00%
75th Percentile £67,500 £61,563 £69,375
90th Percentile £75,000 £62,500 £79,500
Oxfordshire median annual salary £55,000 £52,500 £48,625
% change year-on-year +4.76% +7.97% -22.20%

Power Query
Job Vacancy Trend in Oxford

Job postings citing Power Query as a proportion of all IT jobs advertised in Oxford.

Job vacancy trend for Power Query in Oxford

Power Query
Co-occurring Skills and Capabilities in Oxford 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:

Cloud Services
1 1 (100.00%) Power Platform
Database & Business Intelligence
1 1 (100.00%) Data Warehouse
1 1 (100.00%) Power BI
General
1 1 (100.00%) Retail
Job Titles
1 1 (100.00%) Business Intelligence Developer
1 1 (100.00%) Developer
1 1 (100.00%) Power BI Developer
Processes & Methodologies
1 1 (100.00%) Business Intelligence
1 1 (100.00%) Data Modelling
Programming Languages
1 1 (100.00%) Data Analysis Expressions