As of 18 November 2025, there is not enough information available from job vacancies posted within the last 6 months to determine the median Data Analyst salary in Bournemouth.
For comparison with the information above, the following table provides summary statistics for all permanent IT job vacancies in Bournemouth. 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 Bournemouth with a recognized job title
115
206
127
% of permanent jobs with a recognized job title
96.64%
95.37%
96.95%
Number of salaries quoted
78
151
122
10th Percentile
£27,500
£35,000
£32,500
25th Percentile
£29,250
£41,250
£45,000
Median annual salary (50th Percentile)
£36,500
£54,439
£53,750
Median % change year-on-year
-32.95%
+1.28%
+13.16%
75th Percentile
£65,000
£60,000
£67,500
90th Percentile
£75,000
£80,000
£77,500
Dorset median annual salary
£40,000
£50,000
£55,000
% change year-on-year
-20.00%
-9.09%
+15.79%
Data Analyst Job Vacancy Trend in Bournemouth
Historical trend showing the proportion of permanent IT job postings featuring 'Data Analyst' in the job title relative to all permanent IT jobs advertised in Bournemouth.
Data Analyst Salary Trend in Bournemouth
Salary distribution trend for Data Analyst job vacancies in Bournemouth.
Data Analyst Skill Set Top 12 Co-Occurring Skills & Capabilities in Bournemouth
For the 6 months to 18 November 2025, Data Analyst job roles required the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Bournemouth region featuring Data Analyst in the job title.
Data Analyst Skill Set Co-Occurring Skills & Capabilities in Bournemouth by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category: