The following table provides summary statistics for permanent job vacancies advertised in Crawley with a requirement for Amazon Redshift skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Amazon Redshift over the 6 months to 25 April 2024 with a comparison to the same period in the previous 2 years.
Amazon Redshift 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 Crawley with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
34
62
109
As % of all permanent jobs advertised in Crawley
17.62%
21.53%
33.13%
Number of salaries quoted
27
43
89
10th Percentile
£43,500
£52,500
£40,750
25th Percentile
£50,000
£61,250
£51,250
Median annual salary (50th Percentile)
£57,500
£65,000
£60,000
Median % change year-on-year
-11.54%
+8.33%
+9.09%
75th Percentile
£69,375
£68,125
£85,000
90th Percentile
£71,750
£82,500
£92,500
West Sussex median annual salary
£57,500
£57,500
£52,500
% change year-on-year
-
+9.52%
-4.55%
Amazon Redshift Job Vacancy Trend in Crawley
Job postings citing Amazon Redshift as a proportion of all IT jobs advertised in Crawley.
Amazon Redshift Salary Trend in Crawley
3-month moving average salary quoted in jobs citing Amazon Redshift in Crawley.
Amazon Redshift Salary Histogram in Crawley
Salary distribution for jobs citing Amazon Redshift in Crawley over the 6 months to 25 April 2024.
Amazon Redshift Top 30 Co-occurring Skills and Capabilities in Crawley
For the 6 months to 25 April 2024, job vacancies citing Amazon Redshift 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 Crawley region with a requirement for Amazon Redshift.
Amazon Redshift Co-occurring Skills and Capabilities in Crawley 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:
