The following table provides summary statistics for permanent job vacancies advertised in Northampton 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 3 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 3 May 2024
Same period 2023
Same period 2022
Rank
45
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Power Query
2
0
0
As % of all permanent jobs advertised in Northampton
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 Northampton with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
50
74
66
As % of all permanent jobs advertised in Northampton
12.50%
23.95%
22.60%
Number of salaries quoted
38
38
54
10th Percentile
£32,500
£22,500
£34,125
25th Percentile
£36,250
£31,250
£37,500
Median annual salary (50th Percentile)
£42,500
£63,000
£48,750
Median % change year-on-year
-32.54%
+29.23%
+8.33%
75th Percentile
£56,250
£70,000
£57,500
90th Percentile
£63,125
£83,750
£61,175
Northamptonshire median annual salary
£46,250
£52,500
£50,000
% change year-on-year
-11.90%
+5.00%
+8.11%
Power Query Job Vacancy Trend in Northampton
Job postings citing Power Query as a proportion of all IT jobs advertised in Northampton.
Power Query Top 16 Co-occurring Skills and Capabilities in Northampton
For the 6 months to 3 May 2024, job vacancies citing Power Query also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Northampton region with a requirement for Power Query.
Power Query Co-occurring Skills and Capabilities in Northampton 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:
