The following table provides summary statistics for permanent job vacancies advertised in Brighton with a requirement for Data Analytics skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Data Analytics over the 6 months to 26 April 2024 with a comparison to the same period in the previous 2 years.
Data Analytics 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 Brighton with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
357
610
1,036
As % of all permanent jobs advertised in Brighton
82.26%
92.71%
96.55%
Number of salaries quoted
332
478
784
10th Percentile
£26,250
£34,542
£35,000
25th Percentile
£39,250
£44,000
£45,000
Median annual salary (50th Percentile)
£55,000
£55,000
£57,500
Median % change year-on-year
-
-4.35%
+15.00%
75th Percentile
£67,500
£66,250
£75,000
90th Percentile
£78,750
£81,250
£85,000
East Sussex median annual salary
£52,500
£55,000
£56,000
% change year-on-year
-4.55%
-1.79%
+12.00%
Data Analytics Job Vacancy Trend in Brighton
Job postings citing Data Analytics as a proportion of all IT jobs advertised in Brighton.
Data Analytics Salary Trend in Brighton
3-month moving average salary quoted in jobs citing Data Analytics in Brighton.
Data Analytics Salary Histogram in Brighton
Salary distribution for jobs citing Data Analytics in Brighton over the 6 months to 26 April 2024.
Data Analytics Top 20 Co-occurring Skills and Capabilities in Brighton
For the 6 months to 26 April 2024, job vacancies citing Data Analytics 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 Brighton region with a requirement for Data Analytics.
Data Analytics Co-occurring Skills and Capabilities in Brighton 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:
