The table below provides summary statistics and contractor rates for jobs advertised in Gloucestershire requiring BigQuery skills. It covers contract job vacancies from the 6 months leading up to 4 November 2025, with comparisons to the same periods in the previous two years.
BigQuery falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring database or business intelligence skills in Gloucestershire.
Contract vacancies with a requirement for database or business intelligence skills
43
87
51
As % of all contract IT jobs advertised in Gloucestershire
12.22%
21.64%
11.16%
Number of daily rates quoted
37
57
34
10th Percentile
£420
£476
£413
25th Percentile
£525
£533
£469
Median daily rate (50th Percentile)
£600
£638
£600
Median % change year-on-year
-5.91%
+6.28%
-
75th Percentile
£675
£700
£696
90th Percentile
£750
£1,075
£735
South West median daily rate
£525
£525
£550
% change year-on-year
-
-4.55%
-
Number of hourly rates quoted
1
3
12
10th Percentile
-
-
£27.78
25th Percentile
-
-
£60.63
Median hourly rate
£36.00
£30.00
£78.00
Median % change year-on-year
+20.00%
-61.54%
-
75th Percentile
-
-
-
90th Percentile
-
-
£82.05
South West median hourly rate
£65.00
£23.56
£55.00
% change year-on-year
+175.86%
-57.16%
-3.27%
BigQuery Job Vacancy Trend in Gloucestershire
Historical trend showing the proportion of contract IT job postings citing BigQuery relative to all contract IT jobs advertised in Gloucestershire.
BigQuery Top 13 Co-Occurring Skills & Capabilities in Gloucestershire
For the 6 months to 4 November 2025, contractor job vacancies citing BigQuery also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all contract job ads across the Gloucestershire region with a requirement for BigQuery.
BigQuery Co-Occurring Skills & Capabilities in Gloucestershire by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
