The table below provides summary statistics for permanent job vacancies with an option to work from home (WFH) and a requirement for Google Data Studio skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Google Data Studio over the 6 months to 26 April 2024 with a comparison to the same period in the previous 2 years.
Google Data Studio is in the Cloud Services category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies with a WFH option and a requirement for cloud computing skills.
Permanent vacancies with a requirement for cloud computing skills
14,672
20,612
35,093
As % of all permanent jobs with a WFH option
43.38%
47.66%
52.59%
Number of salaries quoted
12,024
15,093
21,847
10th Percentile
£35,000
£37,791
£37,000
25th Percentile
£45,000
£48,750
£46,250
Median annual salary (50th Percentile)
£60,000
£65,000
£63,500
Median % change year-on-year
-7.69%
+2.36%
+10.43%
75th Percentile
£78,750
£85,000
£82,500
90th Percentile
£97,500
£102,500
£96,250
UK median annual salary
£57,500
£65,000
£62,500
% change year-on-year
-11.54%
+4.00%
+8.70%
Google Data Studio Trend for Jobs with a WFH Option
Job vacancies with a work from home option citing Google Data Studio as a proportion of all IT jobs advertised.
Google Data Studio Salary Trend for Jobs with a WFH Option
3-month moving average salary quoted in job vacancies with a work from home option citing Google Data Studio.
Google Data Studio Top 17 Co-occurring Skills and Capabilities in Job Vacancies with WFH Options
For the 6 months to 26 April 2024, Google Data Studio job roles required the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent jobs with remote work options and a requirement for Google Data Studio.
Google Data Studio Co-occurring Skills and Capabilities with WFH Options 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:
