The table below provides summary statistics for permanent job vacancies advertised in Cumbria requiring Data Analysis skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data Analysis over the 6 months leading up to 8 May 2025, comparing them to the same period 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 Cumbria.
Permanent vacancies with a requirement for process or methodology skills
2,285
321
187
As % of all permanent jobs advertised in Cumbria
97.52%
70.24%
98.42%
Number of salaries quoted
1,104
215
94
10th Percentile
£7,000
£26,250
£30,500
25th Percentile
£39,500
£35,750
£35,000
Median annual salary (50th Percentile)
£45,628
£42,500
£45,000
Median % change year-on-year
+7.36%
-5.56%
+28.57%
75th Percentile
£60,000
£62,500
£57,500
90th Percentile
£73,708
£70,525
£70,045
North West median annual salary
£50,055
£50,000
£55,000
% change year-on-year
+0.11%
-9.09%
+4.76%
Data Analysis Job Vacancy Trend in Cumbria
Job postings citing Data Analysis as a proportion of all IT jobs advertised in Cumbria.
Data Analysis Salary Trend in Cumbria
3-month moving average salary quoted in jobs citing Data Analysis in Cumbria.
Data Analysis Top 11 Co-occurring Skills and Capabilities in Cumbria
For the 6 months to 8 May 2025, job vacancies citing Data Analysis 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 Cumbria region with a requirement for Data Analysis.
Data Analysis Co-occurring Skills and Capabilities in Cumbria 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:
