The following table provides summary statistics for contract job vacancies advertised in Bournemouth with a requirement for Big Data skills. Included is a benchmarking guide to the contractor rates offered in vacancies that have cited Big Data over the 6 months to 24 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 24 Apr 2024
Same period 2023
Same period 2022
Rank
18
19
-
Rank change year-on-year
+1
-
-
Contract jobs citing Big Data
1
1
0
As % of all contract jobs advertised in Bournemouth
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 contract job vacancies advertised in Bournemouth with a requirement for database or business intelligence skills.
Contract vacancies with a requirement for database or business intelligence skills
27
5
12
As % of all contract IT jobs advertised in Bournemouth
30.68%
5.49%
13.79%
Number of daily rates quoted
21
5
4
10th Percentile
£400
£635
£219
25th Percentile
£419
£650
£255
Median daily rate (50th Percentile)
£800
£675
£338
Median % change year-on-year
+18.52%
+100.00%
-32.50%
75th Percentile
£825
£700
£400
90th Percentile
-
-
£423
Dorset median daily rate
£663
£570
£475
% change year-on-year
+16.23%
+20.00%
-5.00%
Big Data Job Vacancy Trend in Bournemouth
Job postings citing Big Data as a proportion of all IT jobs advertised in Bournemouth.
Big Data Contractor Daily Rate Trend in Bournemouth
3-month moving average daily rate quoted in jobs citing Big Data in Bournemouth.
Big Data Top 21 Co-occurring Skills and Capabilities in Bournemouth
For the 6 months to 24 April 2024, contractor 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 contract job ads across the Bournemouth region with a requirement for Big Data.
Big Data Co-occurring Skills and Capabilities in Bournemouth 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:
