The following table provides summary statistics for contract job vacancies advertised in Crawley with a requirement for Amazon Redshift skills. Included is a benchmarking guide to the contractor rates offered in vacancies that have cited Amazon Redshift over the 6 months to 4 May 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 contract job vacancies advertised in Crawley with a requirement for database or business intelligence skills.
Contract vacancies with a requirement for database or business intelligence skills
15
2
13
As % of all contract IT jobs advertised in Crawley
23.44%
1.60%
13.00%
Number of daily rates quoted
9
2
9
10th Percentile
£142
£466
£343
25th Percentile
£143
£489
£394
Median daily rate (50th Percentile)
£575
£530
£500
Median % change year-on-year
+8.49%
+6.00%
+36.05%
75th Percentile
£588
£574
£588
90th Percentile
-
£599
£631
West Sussex median daily rate
£389
£525
£530
% change year-on-year
-26.00%
-0.94%
+22.90%
Number of hourly rates quoted
0
0
1
Median hourly rate
-
-
£70.00
West Sussex median hourly rate
£19.38
£22.16
£53.50
% change year-on-year
-12.57%
-58.58%
+260.76%
Amazon Redshift Job Vacancy Trend in Crawley
Job postings citing Amazon Redshift as a proportion of all IT jobs advertised in Crawley.
Amazon Redshift Contractor Daily Rate Trend in Crawley
3-month moving average daily rate quoted in jobs citing Amazon Redshift in Crawley.
Amazon Redshift Top 15 Co-occurring Skills and Capabilities in Crawley
For the 6 months to 4 May 2024, contractor 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 contract 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:
