The table below provides summary statistics and salary benchmarking for jobs advertised in Darlington requiring Business Intelligence skills. It covers permanent job vacancies from the 6 months leading up to 7 November 2025, with comparisons to the same periods in the previous two years.
Business Intelligence 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
40
53
43
As % of all permanent jobs advertised in Darlington
76.92%
79.10%
100.00%
Number of salaries quoted
23
33
41
10th Percentile
£25,707
£46,343
£31,250
25th Percentile
-
£55,400
£36,250
Median annual salary (50th Percentile)
£28,188
£65,000
£51,000
Median % change year-on-year
-56.63%
+27.45%
-2.86%
75th Percentile
£76,524
£79,600
£66,090
90th Percentile
£79,758
£80,000
£69,800
Durham median annual salary
£35,000
£58,900
£50,000
% change year-on-year
-40.58%
+17.80%
+25.00%
Business Intelligence Job Vacancy Trend in Darlington
Historical trend showing the proportion of permanent IT job postings citing Business Intelligence relative to all permanent IT jobs advertised in Darlington.
Business Intelligence Salary Trend in Darlington
Salary distribution trend for jobs in Darlington citing Business Intelligence.
Business Intelligence Top 8 Co-Occurring Skills & Capabilities in Darlington
For the 6 months to 7 November 2025, job vacancies citing Business Intelligence 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 Darlington region with a requirement for Business Intelligence.
Business Intelligence Co-Occurring Skills & Capabilities in Darlington 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:
