The table below provides summary statistics and salary benchmarking for jobs advertised in Cheltenham requiring Data Interpretation skills. It covers permanent job vacancies from the 6 months leading up to 11 November 2025, with comparisons to the same periods in the previous two years.
Data Interpretation 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 Cheltenham.
Permanent vacancies with a requirement for process or methodology skills
105
239
364
As % of all permanent jobs advertised in Cheltenham
77.21%
90.53%
94.30%
Number of salaries quoted
79
135
171
10th Percentile
£36,000
£33,000
£35,000
25th Percentile
£48,750
£45,000
£43,750
Median annual salary (50th Percentile)
£70,000
£60,000
£57,500
Median % change year-on-year
+16.67%
+4.35%
+8.25%
75th Percentile
£89,375
£71,250
£74,500
90th Percentile
£96,000
£90,000
£80,750
Gloucestershire median annual salary
£52,500
£55,000
£57,500
% change year-on-year
-4.55%
-4.35%
+9.52%
Data Interpretation Job Vacancy Trend in Cheltenham
Historical trend showing the proportion of permanent IT job postings citing Data Interpretation relative to all permanent IT jobs advertised in Cheltenham.
Data Interpretation Salary Trend in Cheltenham
Salary distribution trend for jobs in Cheltenham citing Data Interpretation.
Data Interpretation Top 18 Co-Occurring Skills & Capabilities in Cheltenham
For the 6 months to 11 November 2025, job vacancies citing Data Interpretation 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 Cheltenham region with a requirement for Data Interpretation.
Data Interpretation Co-Occurring Skills & Capabilities in Cheltenham 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:
