The table below provides summary statistics and salary benchmarking for jobs advertised in Darlington requiring Product Vision skills. It covers vacancies from the 6 months leading up to 10 September 2025, with comparisons to the same periods in the previous two years.
6 months to 10 Sep 2025
Same period 2024
Same period 2023
Rank
14
12
-
Rank change year-on-year
-2
-
-
Permanent jobs citing Product Vision
1
4
0
As % of all permanent jobs advertised in Darlington
Product Vision 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 Darlington.
Permanent vacancies with a requirement for process or methodology skills
36
46
50
As % of all permanent jobs advertised in Darlington
75.00%
73.02%
100.00%
Number of salaries quoted
19
39
36
10th Percentile
£25,087
£33,300
£31,250
25th Percentile
-
£45,000
£32,500
Median annual salary (50th Percentile)
£28,188
£58,800
£49,500
Median % change year-on-year
-52.06%
+18.79%
+15.12%
75th Percentile
£36,875
£79,413
£66,130
90th Percentile
£75,855
£80,000
£69,800
Durham median annual salary
£35,000
£53,000
£48,500
% change year-on-year
-33.96%
+9.28%
+23.34%
Product Vision Job Vacancy Trend in Darlington
Job postings citing Product Vision as a proportion of all IT jobs advertised in Darlington.
Product Vision Salary Trend in Darlington
Salary distribution trend for jobs in Darlington citing Product Vision.
Product Vision Top 20 Co-occurring Skills and Capabilities in Darlington
For the 6 months to 10 September 2025, job vacancies citing Product Vision 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 Darlington region with a requirement for Product Vision.
Product Vision Co-occurring Skills and Capabilities in Darlington 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:
