As of 22 May 2025, there is not enough information available from job vacancies posted within the last 6 months to determine the median Data Consultant salary in Southampton.
6 months to 22 May 2025
Same period 2024
Same period 2023
Rank
35
-
-
Rank change year-on-year
-
-
-
Permanent jobs requiring a Data Consultant
4
0
0
As % of all permanent jobs advertised in Southampton
For comparison with the information above, the following table provides summary statistics for all permanent IT job vacancies in Southampton. 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 Southampton with a recognized job title
312
857
705
% of permanent jobs with a recognized job title
99.36%
97.39%
93.01%
Number of salaries quoted
230
722
556
10th Percentile
£27,000
£28,525
£27,500
25th Percentile
£40,000
£32,500
£37,500
Median annual salary (50th Percentile)
£52,500
£45,000
£50,000
Median % change year-on-year
+16.67%
-10.00%
-0.99%
75th Percentile
£62,500
£61,250
£70,000
90th Percentile
£70,125
£72,500
£80,000
Hampshire median annual salary
£53,000
£50,000
£52,500
% change year-on-year
+6.00%
-4.76%
-
Data Consultant Job Vacancy Trend in Southampton
Job postings that featured Data Consultant in the job title as a proportion of all IT jobs advertised in Southampton.
Data Consultant Salary Trend in Southampton
3-month moving average salary quoted in jobs citing Data Consultant in Southampton.
Data Consultant Skill Set Top 17 Co-occurring Skills and Capabilities in Southampton
For the 6 months to 22 May 2025, Data Consultant 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 Southampton region featuring Data Consultant in the job title.
Data Consultant Skill Set Co-occurring Skills and Capabilities in Southampton 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:
