As of 25 April 2024, there is not enough information available from job vacancies posted within the last 6 months to determine the median Data Consultant salary in Liverpool.
6 months to 25 Apr 2024
Same period 2023
Same period 2022
Rank
86
92
90
Rank change year-on-year
+6
-2
-
Permanent jobs requiring a Data Consultant
2
2
1
As % of all permanent jobs advertised in Liverpool
The following table is for comparison with the above and includes summary statistics for all permanent IT job vacancies advertised in Liverpool. 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 Liverpool with a recognized job title
1,024
791
911
% of permanent jobs with a recognized job title
95.88%
83.88%
95.19%
Number of salaries quoted
687
407
587
10th Percentile
£25,750
£28,206
£25,000
25th Percentile
£33,621
£37,019
£34,000
Median annual salary (50th Percentile)
£45,000
£47,500
£47,500
Median % change year-on-year
-5.26%
-
+11.76%
75th Percentile
£58,750
£61,250
£64,499
90th Percentile
£77,500
£71,250
£75,000
Merseyside median annual salary
£41,367
£45,000
£45,041
% change year-on-year
-8.07%
-0.09%
+5.98%
Data Consultant Job Vacancy Trend in Liverpool
Job postings that featured Data Consultant in the job title as a proportion of all IT jobs advertised in Liverpool.
Data Consultant Salary Trend in Liverpool
3-month moving average salary quoted in jobs citing Data Consultant in Liverpool.
Data Consultant Skill Set Top 16 Co-occurring Skills and Capabilities in Liverpool
For the 6 months to 25 April 2024, 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 Liverpool region featuring Data Consultant in the job title.
Data Consultant Skill Set Co-occurring Skills and Capabilities in Liverpool 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:
