Data Analysis Expressions Job Trends in Gloucester

Microsoft Data Analysis Expressions (DAX)
Gloucestershire > Gloucester

The table below provides summary statistics and salary benchmarking for jobs advertised in Gloucester requiring Data Analysis Expressions skills. It covers permanent job vacancies from the 6 months leading up to 28 January 2026, with comparisons to the same periods in the previous two years.

6 months to
28 Jan 2026
Same period 2025 Same period 2024
Rank 28 - -
Rank change year-on-year - - -
Permanent jobs citing Data Analysis Expressions 1 0 0
As % of all permanent jobs in Gloucester 0.54% - -
As % of the Programming Languages category 2.56% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
Gloucestershire median annual salary £35,000 - £35,500
% change year-on-year - - -5.33%

All Programming Languages
Gloucester

Data Analysis Expressions falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring coding skills in Gloucester.

Permanent vacancies with a requirement for coding skills 39 69 168
As % of all permanent jobs advertised in Gloucester 21.20% 48.59% 53.67%
Number of salaries quoted 13 33 81
10th Percentile £40,200 £49,000 £34,000
25th Percentile £70,000 £52,500 £40,250
Median annual salary (50th Percentile) £75,000 £65,000 £50,000
Median % change year-on-year +15.38% +30.00% -9.09%
75th Percentile £83,750 £69,500 £62,000
90th Percentile £94,750 £90,000 £80,000
Gloucestershire median annual salary £60,000 £60,000 £52,500
% change year-on-year - +14.29% -4.55%

Data Analysis Expressions
Job Vacancy Trend in Gloucester

Historical trend showing the proportion of permanent IT job postings citing Data Analysis Expressions relative to all permanent IT jobs advertised in Gloucester.

Data Analysis Expressions job vacancy trend in Gloucester

Data Analysis Expressions
Co-Occurring Skills & Capabilities in Gloucester 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:

Cloud Services
1 1 (100.00%) Power Platform
1 1 (100.00%) Snowflake
Database & Business Intelligence
1 1 (100.00%) Data Warehouse
1 1 (100.00%) Power BI
Job Titles
1 1 (100.00%) Analytics Manager
1 1 (100.00%) Data Analytics Manager
1 1 (100.00%) Data Manager
1 1 (100.00%) Report Manager
Processes & Methodologies
1 1 (100.00%) Analytics
1 1 (100.00%) Dashboard Development
1 1 (100.00%) Data Analysis
1 1 (100.00%) Data Analytics
1 1 (100.00%) Data Modelling
1 1 (100.00%) DataOps
1 1 (100.00%) Dimensional Modelling
1 1 (100.00%) ETL
1 1 (100.00%) Kimball Methodology
1 1 (100.00%) Stakeholder Engagement
1 1 (100.00%) Stakeholder Management
1 1 (100.00%) Visualisation
Programming Languages
1 1 (100.00%) SQL