The following table provides summary statistics for contract job vacancies advertised in Somerset with a requirement for BigQuery skills. Included is a benchmarking guide to the contractor rates offered in vacancies that have cited BigQuery over the 6 months to 3 June 2024 with a comparison to the same period in the previous 2 years.
BigQuery 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 Somerset with a requirement for database or business intelligence skills.
Contract vacancies with a requirement for database or business intelligence skills
28
27
45
As % of all contract IT jobs advertised in Somerset
12.73%
14.67%
22.61%
Number of daily rates quoted
20
20
38
10th Percentile
£200
£421
£339
25th Percentile
£349
£444
£410
Median daily rate (50th Percentile)
£450
£475
£450
Median % change year-on-year
-5.26%
+5.56%
-8.91%
75th Percentile
£543
£738
£517
90th Percentile
£600
£746
£525
South West median daily rate
£500
£500
£500
% change year-on-year
-
-
+5.26%
Number of hourly rates quoted
8
2
0
Median hourly rate
£40.00
£42.40
-
Median % change year-on-year
-5.65%
-
-
South West median hourly rate
£40.00
£66.00
£63.60
% change year-on-year
-39.39%
+3.77%
+48.36%
BigQuery Job Vacancy Trend in Somerset
Job postings citing BigQuery as a proportion of all IT jobs advertised in Somerset.
BigQuery Contractor Daily Rate Trend in Somerset
3-month moving average daily rate quoted in jobs citing BigQuery in Somerset.
BigQuery Top 12 Co-occurring Skills and Capabilities in Somerset
For the 6 months to 3 June 2024, contractor job vacancies citing BigQuery 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 Somerset region with a requirement for BigQuery.
BigQuery Co-occurring Skills and Capabilities in Somerset 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:
