The following table provides summary statistics for permanent job vacancies advertised in Bracknell 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 17 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 17 Apr 2024
Same period 2023
Same period 2022
Rank
60
-
53
Rank change year-on-year
-
-
-
Permanent jobs citing BigQuery
1
0
1
As % of all permanent jobs advertised in Bracknell
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 Bracknell with a requirement for database or business intelligence skills.
Permanent vacancies with a requirement for database or business intelligence skills
142
92
83
As % of all permanent jobs advertised in Bracknell
28.12%
27.79%
24.56%
Number of salaries quoted
141
66
57
10th Percentile
£38,750
£46,250
£37,500
25th Percentile
£51,250
£52,500
£47,500
Median annual salary (50th Percentile)
£75,000
£90,000
£55,000
Median % change year-on-year
-16.67%
+63.64%
+10.00%
75th Percentile
£95,000
£95,000
£67,500
90th Percentile
£112,500
£115,000
£73,750
Berkshire median annual salary
£65,000
£65,000
£60,000
% change year-on-year
-
+8.33%
+9.09%
BigQuery Job Vacancy Trend in Bracknell
Job postings citing BigQuery as a proportion of all IT jobs advertised in Bracknell.
BigQuery Salary Trend in Bracknell
3-month moving average salary quoted in jobs citing BigQuery in Bracknell.
BigQuery Top 15 Co-occurring Skills and Capabilities in Bracknell
For the 6 months to 17 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 Bracknell region with a requirement for BigQuery.
BigQuery Co-occurring Skills and Capabilities in Bracknell 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: