The table below provides summary statistics for permanent job vacancies advertised in St Albans 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 5 May 2025, comparing them to the same period in the previous two years.
6 months to 5 May 2025
Same period 2024
Same period 2023
Rank
11
-
25
Rank change year-on-year
-
-
+10
Permanent jobs citing Data Analysis
1
0
1
As % of all permanent jobs advertised in St Albans
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 St Albans.
Permanent vacancies with a requirement for process or methodology skills
40
69
115
As % of all permanent jobs advertised in St Albans
97.56%
69.00%
92.74%
Number of salaries quoted
24
59
69
10th Percentile
£31,250
£30,900
£34,750
25th Percentile
£32,500
£48,750
£47,500
Median annual salary (50th Percentile)
£53,750
£63,458
£57,500
Median % change year-on-year
-15.30%
+10.36%
+64.29%
75th Percentile
£64,688
£83,125
£75,000
90th Percentile
£73,825
£115,000
£77,500
Hertfordshire median annual salary
£55,000
£52,500
£57,500
% change year-on-year
+4.76%
-8.70%
+4.55%
Data Analysis Job Vacancy Trend in St Albans
Job postings citing Data Analysis as a proportion of all IT jobs advertised in St Albans.
Data Analysis Salary Trend in St Albans
3-month moving average salary quoted in jobs citing Data Analysis in St Albans.
Data Analysis Top 18 Co-occurring Skills and Capabilities in St Albans
For the 6 months to 5 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 St Albans region with a requirement for Data Analysis.
Data Analysis Co-occurring Skills and Capabilities in St Albans 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:
