The table below provides summary statistics and salary benchmarking for jobs advertised in Barrow-in-Furness requiring Data Analysis skills. It covers permanent job vacancies from the 6 months leading up to 14 November 2025, with comparisons to the same periods in the previous two years.
Data Analysis 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 Barrow-in-Furness.
Permanent vacancies with a requirement for process or methodology skills
38
158
32
As % of all permanent jobs advertised in Barrow-in-Furness
79.17%
87.29%
96.97%
Number of salaries quoted
24
74
0
10th Percentile
£28,000
£35,802
-
25th Percentile
£49,438
£39,051
-
Median annual salary (50th Percentile)
£53,750
£51,750
-
Median % change year-on-year
+3.86%
-
-
75th Percentile
£57,500
£56,000
-
90th Percentile
£63,725
£60,245
-
Cumbria median annual salary
£46,000
£51,750
£42,500
% change year-on-year
-11.11%
+21.76%
+6.25%
Data Analysis Job Vacancy Trend in Barrow-in-Furness
Historical trend showing the proportion of permanent IT job postings citing Data Analysis relative to all permanent IT jobs advertised in Barrow-in-Furness.
Data Analysis Salary Trend in Barrow-in-Furness
Salary distribution trend for jobs in Barrow-in-Furness citing Data Analysis.
Data Analysis Top 3 Co-Occurring Skills & Capabilities in Barrow-in-Furness
For the 6 months to 14 November 2025, job vacancies citing Data Analysis 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 Barrow-in-Furness region with a requirement for Data Analysis.
Data Analysis Co-Occurring Skills & Capabilities in Barrow-in-Furness 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:
