BigQuery Contract Job Trends in Oxford

Google BigQuery
Oxfordshire > Oxford

The table below provides summary statistics and contractor rates for jobs advertised in Oxford citing BigQuery skills. It covers contract job vacancies from the 6 months leading up to 31 October 2026, with comparisons to the same periods in the previous two years.

6 months to
31 Oct 2026
Same period 2025 Same period 2024
Rank 21 - -
Rank change year-on-year - - -
Contract jobs citing BigQuery 2 0 0
As % of all contract jobs in Oxford 1.65% - -
As % of the Database & Business Intelligence category 22.22% - -
Number of daily rates quoted 2 0 0
10th Percentile £412 - -
25th Percentile £420 - -
Median daily rate (50th Percentile) £444 - -
75th Percentile £470 - -
90th Percentile £481 - -
Oxfordshire median daily rate £394 - -

All Database & BI Skills
Oxford

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 citing database or business intelligence skills in Oxford.

6 months to
31 Oct 2026
Same period 2025 Same period 2024
Contract vacancies citing database or business intelligence skills 9 11 12
As % of all contract jobs advertised in Oxford 7.44% 20.00% 21.82%
Number of daily rates quoted 9 7 10
10th Percentile £380 - £352
25th Percentile £406 £222 £425
Median daily rate (50th Percentile) £475 £225 £500
Median % change year-on-year +111.11% -55.00% +42.86%
75th Percentile £530 £294 £564
90th Percentile - £320 £575
Oxfordshire median daily rate £503 £350 £450
% change year-on-year +43.57% -22.22% -11.76%

BigQuery Job Vacancy Trend in Oxford

Historical trend showing the proportion of contract IT job postings citing BigQuery relative to all contract IT jobs advertised in Oxford.

BigQuery job vacancy trend in Oxford

BigQuery Co-Occurring Skills & Capabilities in Oxford by Category

The table below expands on the one above by listing co-occurrences one category at a time. It covers the same employment type, locality and period, with up to 20 co-occurrences in each category.

Database & Business Intelligence

RankSkillShareJob Ads
1MySQL100.0%2