The table below provides summary statistics for permanent job vacancies advertised in Preston requiring Data-Driven Decision Making skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data-Driven Decision Making over the 6 months leading up to 3 May 2025, comparing them to the same period 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 Preston.
Permanent vacancies with a requirement for process or methodology skills
386
199
246
As % of all permanent jobs advertised in Preston
99.74%
91.71%
91.79%
Number of salaries quoted
258
159
149
10th Percentile
-
£26,000
£28,250
25th Percentile
£47,683
£32,250
£36,250
Median annual salary (50th Percentile)
£50,055
£47,000
£42,667
Median % change year-on-year
+6.50%
+10.16%
+12.28%
75th Percentile
£55,000
£57,500
£50,000
90th Percentile
£60,000
£62,500
£63,750
Lancashire median annual salary
£50,055
£50,000
£47,500
% change year-on-year
+0.11%
+5.26%
+7.21%
Data-Driven Decision Making Job Vacancy Trend in Preston
Job postings citing Data-Driven Decision Making as a proportion of all IT jobs advertised in Preston.
Data-Driven Decision Making Salary Trend in Preston
3-month moving average salary quoted in jobs citing Data-Driven Decision Making in Preston.
Data-Driven Decision Making Top 14 Co-occurring Skills and Capabilities in Preston
For the 6 months to 3 May 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 co-occurrences and as a proportion of all permanent job ads across the Preston region with a requirement for Data-Driven Decision Making.
Data-Driven Decision Making Co-occurring Skills and Capabilities in Preston by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
