The following table provides summary statistics for permanent job vacancies advertised in Cambridge with a requirement for BigQuery skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited BigQuery over the 6 months to 29 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 29 Apr 2024
Same period 2023
Same period 2022
Rank
79
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing BigQuery
3
0
0
As % of all permanent jobs advertised in Cambridge
BigQuery is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Cambridge with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
114
120
274
As % of all permanent jobs advertised in Cambridge
11.50%
11.96%
16.88%
Number of salaries quoted
89
65
113
10th Percentile
£31,250
£36,250
£33,800
25th Percentile
£43,750
£42,500
£44,750
Median annual salary (50th Percentile)
£67,500
£50,000
£55,000
Median % change year-on-year
+35.00%
-9.09%
-8.33%
75th Percentile
£81,250
£72,500
£70,000
90th Percentile
£92,500
£92,500
£82,500
Cambridgeshire median annual salary
£57,500
£55,000
£50,000
% change year-on-year
+4.55%
+10.00%
-9.09%
BigQuery Job Vacancy Trend in Cambridge
Job postings citing BigQuery as a proportion of all IT jobs advertised in Cambridge.
BigQuery Salary Trend in Cambridge
3-month moving average salary quoted in jobs citing BigQuery in Cambridge.
BigQuery Top 16 Co-occurring Skills and Capabilities in Cambridge
For the 6 months to 29 April 2024, 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 Cambridge region with a requirement for BigQuery.
BigQuery Co-occurring Skills and Capabilities in Cambridge 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: