As of 10 May 2024, there is not enough information available from job vacancies posted within the last 6 months to determine the median Support Analyst salary in Skelmersdale.
6 months to 10 May 2024
Same period 2023
Same period 2022
Rank
6
-
-
Rank change year-on-year
-
-
-
Permanent jobs requiring a Support Analyst
1
0
0
As % of all permanent jobs advertised in Skelmersdale
The following table is for comparison with the above and includes summary statistics for all permanent IT job vacancies advertised in Skelmersdale. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of permanent jobs in our overall sample.
Permanent vacancies in Skelmersdale with a recognized job title
26
8
16
% of permanent jobs with a recognized job title
100.00%
100.00%
94.12%
Number of salaries quoted
17
8
15
10th Percentile
£23,000
£24,925
£48,250
25th Percentile
£26,000
£29,688
£56,250
Median annual salary (50th Percentile)
£30,000
£55,000
£57,500
Median % change year-on-year
-45.45%
-4.35%
+35.29%
75th Percentile
£45,000
£57,500
£58,750
90th Percentile
-
-
-
Lancashire median annual salary
£45,249
£47,250
£42,500
% change year-on-year
-4.24%
+11.18%
+6.25%
Support Analyst Job Vacancy Trend in Skelmersdale
Job postings that featured Support Analyst in the job title as a proportion of all IT jobs advertised in Skelmersdale.
Support Analyst Salary Trend in Skelmersdale
3-month moving average salary quoted in jobs citing Support Analyst in Skelmersdale.
Support Analyst Skill Set Top 7 Co-occurring Skills and Capabilities in Skelmersdale
For the 6 months to 10 May 2024, Support Analyst job roles required 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 Skelmersdale region featuring Support Analyst in the job title.
Support Analyst Skill Set Co-occurring Skills and Capabilities in Skelmersdale 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:
