Power Query Job Trends in Chippenham

Microsoft Power Query
Wiltshire > Chippenham

The table below provides summary statistics and salary benchmarking for jobs advertised in Chippenham requiring Power Query skills. It covers permanent job vacancies from the 6 months leading up to 9 June 2026, with comparisons to the same periods in the previous two years.

6 months to
9 Jun 2026
Same period 2025 Same period 2024
Rank 25 - -
Rank change year-on-year - - -
Permanent jobs citing Power Query 1 0 0
As % of all permanent jobs in Chippenham 1.08% - -
As % of the Database & Business Intelligence category 10.00% - -
Number of salaries quoted 1 0 0
10th Percentile - - -
25th Percentile £46,250 - -
Median annual salary (50th Percentile) £47,500 - -
75th Percentile £48,750 - -
90th Percentile - - -
Wiltshire median annual salary £47,500 - -

All Database & Business Intelligence Skills
Chippenham

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 Chippenham.

Permanent vacancies with a requirement for database or business intelligence skills 10 4 14
As % of all permanent jobs advertised in Chippenham 10.75% 9.09% 12.07%
Number of salaries quoted 1 2 6
10th Percentile - £44,250 £51,875
25th Percentile £46,250 £46,875 £53,125
Median annual salary (50th Percentile) £47,500 £52,500 £55,000
Median % change year-on-year -9.52% -4.55% -
75th Percentile £48,750 £56,875 -
90th Percentile - £58,750 £56,250
Wiltshire median annual salary £62,500 £55,000 £55,000
% change year-on-year +13.64% - -

Power Query
Job Vacancy Trend in Chippenham

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

Power Query job vacancy trend in Chippenham

Power Query
Co-Occurring Skills & Capabilities in Chippenham 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:

Business Applications
1 1 (100.00%) SAP Business One
Cloud Services
1 1 (100.00%) Azure
1 1 (100.00%) Azure Logic Apps
Database & Business Intelligence
1 1 (100.00%) Data Warehouse
1 1 (100.00%) SQL Server
Job Titles
1 1 (100.00%) Data Engineer
Libraries, Frameworks & Software Standards
1 1 (100.00%) JSON
1 1 (100.00%) Node.js
1 1 (100.00%) REST
1 1 (100.00%) XML
Processes & Methodologies
1 1 (100.00%) Analytics
1 1 (100.00%) Architectural Patterns
1 1 (100.00%) Data Architecture
1 1 (100.00%) Data Engineering
1 1 (100.00%) Data Integration
1 1 (100.00%) Data Pipeline
1 1 (100.00%) ETL
1 1 (100.00%) Integration Patterns
1 1 (100.00%) Performance Tuning
1 1 (100.00%) Problem-Solving
1 1 (100.00%) Project Delivery
1 1 (100.00%) Validation
Programming Languages
1 1 (100.00%) Data Analysis Expressions
1 1 (100.00%) PowerShell
1 1 (100.00%) Python
1 1 (100.00%) SQL
1 1 (100.00%) T-SQL
1 1 (100.00%) VBScript
Quality Assurance & Compliance
1 1 (100.00%) Data Quality
Vendors
1 1 (100.00%) Microsoft
1 1 (100.00%) SAP