The table below provides summary statistics for permanent job vacancies advertised in Oxfordshire requiring BigQuery skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited BigQuery over the 6 months leading up to 22 May 2025, comparing them to the same period in the previous two years.
6 months to 22 May 2025
Same period 2024
Same period 2023
Rank
71
80
-
Rank change year-on-year
+9
-
-
Permanent jobs citing BigQuery
2
32
0
As % of all permanent jobs advertised in Oxfordshire
BigQuery falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Oxfordshire.
Permanent vacancies with a requirement for database or business intelligence skills
92
236
174
As % of all permanent jobs advertised in Oxfordshire
12.99%
13.90%
11.66%
Number of salaries quoted
73
188
99
10th Percentile
-
£36,250
£32,750
25th Percentile
£36,250
£41,000
£41,250
Median annual salary (50th Percentile)
£55,000
£52,500
£47,250
Median % change year-on-year
+4.76%
+11.11%
-24.40%
75th Percentile
£62,500
£62,500
£60,625
90th Percentile
£87,500
£63,250
£72,250
South East median annual salary
£57,500
£55,000
£57,500
% change year-on-year
+4.55%
-4.35%
+4.55%
BigQuery Job Vacancy Trend in Oxfordshire
Job postings citing BigQuery as a proportion of all IT jobs advertised in Oxfordshire.
BigQuery Salary Trend in Oxfordshire
3-month moving average salary quoted in jobs citing BigQuery in Oxfordshire.
BigQuery Top 18 Co-occurring Skills and Capabilities in Oxfordshire
For the 6 months to 22 May 2025, 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 permanent job ads across the Oxfordshire region with a requirement for BigQuery.
BigQuery Co-occurring Skills and Capabilities in Oxfordshire 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:
