The table below provides summary statistics and salary benchmarking for jobs advertised in Gloucester requiring Data Analysis skills. It covers permanent job vacancies from the 6 months leading up to 26 October 2025, with comparisons to the same periods in the previous two years.
Data Analysis falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Gloucester.
Permanent vacancies with a requirement for process or methodology skills
74
182
286
As % of all permanent jobs advertised in Gloucester
82.22%
91.92%
97.61%
Number of salaries quoted
53
81
163
10th Percentile
£33,700
£40,000
£31,418
25th Percentile
£38,000
£48,750
£42,500
Median annual salary (50th Percentile)
£75,000
£55,000
£60,000
Median % change year-on-year
+36.36%
-8.33%
+20.00%
75th Percentile
£80,000
£65,000
£72,500
90th Percentile
£93,750
£76,500
£79,650
Gloucestershire median annual salary
£52,500
£55,000
£57,500
% change year-on-year
-4.55%
-4.35%
+9.52%
Data Analysis Job Vacancy Trend in Gloucester
Historical trend showing the proportion of permanent IT job postings citing Data Analysis relative to all permanent IT jobs advertised in Gloucester.
Data Analysis Salary Trend in Gloucester
Salary distribution trend for jobs in Gloucester citing Data Analysis.
Data Analysis Top 3 Co-Occurring Skills & Capabilities in Gloucester
For the 6 months to 26 October 2025, job vacancies citing Data Analysis also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Gloucester region with a requirement for Data Analysis.
Data Analysis 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:
