The table below provides summary statistics and salary benchmarking for jobs advertised in Solihull requiring Data-Driven Decision Making skills. It covers permanent job vacancies from the 6 months leading up to 31 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 Solihull.
Permanent vacancies with a requirement for process or methodology skills
123
119
138
As % of all permanent jobs advertised in Solihull
93.18%
91.54%
98.57%
Number of salaries quoted
66
77
108
10th Percentile
£31,688
£46,250
£25,750
25th Percentile
£41,250
£51,250
£41,875
Median annual salary (50th Percentile)
£55,000
£66,000
£53,500
Median % change year-on-year
-16.67%
+23.36%
+12.63%
75th Percentile
£75,000
£75,000
£60,250
90th Percentile
£91,250
£85,500
£70,900
West Midlands median annual salary
£50,000
£55,000
£50,000
% change year-on-year
-9.09%
+10.00%
-
Data-Driven Decision Making Job Vacancy Trend in Solihull
Historical trend showing the proportion of permanent IT job postings citing Data-Driven Decision Making relative to all permanent IT jobs advertised in Solihull.
Data-Driven Decision Making Salary Trend in Solihull
Salary distribution trend for jobs in Solihull citing Data-Driven Decision Making.
Data-Driven Decision Making Top 12 Co-Occurring Skills & Capabilities in Solihull
For the 6 months to 31 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 Solihull region with a requirement for Data-Driven Decision Making.
Data-Driven Decision Making Co-Occurring Skills & Capabilities in Solihull 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:
