The following table provides summary statistics for permanent job vacancies advertised in Liverpool with a requirement for Big Data skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Big Data over the 6 months to 26 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 26 Apr 2024
Same period 2023
Same period 2022
Rank
86
55
88
Rank change year-on-year
-31
+33
-34
Permanent jobs citing Big Data
3
42
7
As % of all permanent jobs advertised in Liverpool
Big Data is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Liverpool with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
221
166
206
As % of all permanent jobs advertised in Liverpool
20.73%
17.64%
21.44%
Number of salaries quoted
148
83
116
10th Percentile
£31,250
£29,850
£31,250
25th Percentile
£36,250
£37,828
£37,500
Median annual salary (50th Percentile)
£52,500
£52,500
£45,020
Median % change year-on-year
-
+16.61%
+12.55%
75th Percentile
£77,500
£70,000
£65,000
90th Percentile
£90,000
£71,250
£74,375
Merseyside median annual salary
£48,500
£50,000
£49,000
% change year-on-year
-3.00%
+2.04%
+22.50%
Big Data Job Vacancy Trend in Liverpool
Job postings citing Big Data as a proportion of all IT jobs advertised in Liverpool.
Big Data Salary Trend in Liverpool
3-month moving average salary quoted in jobs citing Big Data in Liverpool.
Big Data Top 10 Co-occurring Skills and Capabilities in Liverpool
For the 6 months to 26 April 2024, job vacancies citing Big Data 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 Liverpool region with a requirement for Big Data.
Big Data 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:
