The table below provides summary statistics and salary benchmarking for jobs advertised in Cambridge requiring Data Interpretation skills. It covers permanent job vacancies from the 6 months leading up to 28 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 Cambridge.
Permanent vacancies with a requirement for process or methodology skills
408
484
386
As % of all permanent jobs advertised in Cambridge
89.28%
82.17%
96.98%
Number of salaries quoted
258
262
252
10th Percentile
£26,250
£38,975
£27,000
25th Percentile
£30,956
£51,438
£39,000
Median annual salary (50th Percentile)
£50,000
£67,500
£55,000
Median % change year-on-year
-25.93%
+22.73%
-
75th Percentile
£65,000
£81,313
£77,813
90th Percentile
£80,000
£87,500
£90,000
Cambridgeshire median annual salary
£49,000
£60,000
£55,000
% change year-on-year
-18.33%
+9.09%
+2.80%
Data Interpretation Job Vacancy Trend in Cambridge
Historical trend showing the proportion of permanent IT job postings citing Data Interpretation relative to all permanent IT jobs advertised in Cambridge.
Data Interpretation Salary Trend in Cambridge
Salary distribution trend for jobs in Cambridge citing Data Interpretation.
Data Interpretation Top 13 Co-Occurring Skills & Capabilities in Cambridge
For the 6 months to 28 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 Cambridge region with a requirement for Data Interpretation.
Data Interpretation Co-Occurring Skills & Capabilities in Cambridge 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: