The table below provides summary statistics and salary benchmarking for jobs advertised in Guildford requiring Data-Driven Decision Making skills. It covers permanent job vacancies from the 6 months leading up to 7 October 2025, with comparisons to the same periods in the previous two years.
Data-Driven Decision Making 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 Guildford.
Permanent vacancies with a requirement for process or methodology skills
127
188
138
As % of all permanent jobs advertised in Guildford
90.71%
85.07%
86.79%
Number of salaries quoted
100
94
112
10th Percentile
£29,000
£31,250
£31,250
25th Percentile
£31,250
£35,000
£46,250
Median annual salary (50th Percentile)
£46,250
£50,000
£57,500
Median % change year-on-year
-7.50%
-13.04%
+4.55%
75th Percentile
£64,688
£67,500
£67,500
90th Percentile
£106,250
£80,000
£74,450
Surrey median annual salary
£45,000
£52,500
£55,000
% change year-on-year
-14.29%
-4.55%
-
Data-Driven Decision Making Job Vacancy Trend in Guildford
Historical trend showing the proportion of permanent IT job postings citing Data-Driven Decision Making relative to all permanent IT jobs advertised in Guildford.
Data-Driven Decision Making Salary Trend in Guildford
Salary distribution trend for jobs in Guildford citing Data-Driven Decision Making.
Data-Driven Decision Making Top 19 Co-Occurring Skills & Capabilities in Guildford
For the 6 months to 7 October 2025, job vacancies citing Data-Driven Decision Making 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 Guildford region with a requirement for Data-Driven Decision Making.
Data-Driven Decision Making Co-Occurring Skills & Capabilities in Guildford 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:
