The following table provides summary statistics for permanent job vacancies advertised in Barrow-in-Furness with a requirement for Data Analysis skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Data Analysis over the 6 months to 25 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 25 Apr 2024
Same period 2023
Same period 2022
Rank
11
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Data Analysis
2
0
0
As % of all permanent jobs advertised in Barrow-in-Furness
Data Analysis is in the Processes and Methodologies category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Barrow-in-Furness with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
63
38
25
As % of all permanent jobs advertised in Barrow-in-Furness
96.92%
100.00%
78.13%
Number of salaries quoted
40
3
24
10th Percentile
£24,200
-
-
25th Percentile
£37,176
-
£25,000
Median annual salary (50th Percentile)
£38,734
£22,500
£35,000
Median % change year-on-year
+72.15%
-35.71%
-22.22%
75th Percentile
-
£41,875
£37,500
90th Percentile
-
£53,500
-
Cumbria median annual salary
£42,500
£45,000
£35,000
% change year-on-year
-5.56%
+28.57%
-17.65%
Data Analysis Job Vacancy Trend in Barrow-in-Furness
Job postings citing Data Analysis as a proportion of all IT jobs advertised in Barrow-in-Furness.
Data Analysis Top 8 Co-occurring Skills and Capabilities in Barrow-in-Furness
For the 6 months to 25 April 2024, 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 Barrow-in-Furness region with a requirement for Data Analysis.
Data Analysis Co-occurring Skills and Capabilities in Barrow-in-Furness 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:
