The table below provides summary statistics and salary benchmarking for jobs advertised in London requiring Google Data Studio skills. It covers permanent job vacancies from the 6 months leading up to 6 November 2025, with comparisons to the same periods in the previous two years.
Google Data Studio falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring cloud computing skills in London.
Permanent vacancies with a requirement for cloud computing skills
5,397
7,769
9,154
As % of all permanent jobs advertised in London
44.34%
44.90%
47.56%
Number of salaries quoted
3,682
5,116
7,794
10th Percentile
£36,275
£45,000
£42,500
25th Percentile
£53,376
£60,000
£56,250
Median annual salary (50th Percentile)
£75,000
£77,500
£75,000
Median % change year-on-year
-3.23%
+3.33%
-
75th Percentile
£96,250
£100,000
£95,000
90th Percentile
£120,000
£122,500
£115,000
England median annual salary
£57,500
£65,000
£62,500
% change year-on-year
-11.54%
+4.00%
-3.10%
Google Data Studio Job Vacancy Trend in London
Historical trend showing the proportion of permanent IT job postings citing Google Data Studio relative to all permanent IT jobs advertised in London.
Google Data Studio Salary Trend in London
Salary distribution trend for jobs in London citing Google Data Studio.
Google Data Studio Top 26 Co-Occurring Skills & Capabilities in London
For the 6 months to 6 November 2025, job vacancies citing Google Data Studio also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the London region with a requirement for Google Data Studio.
Google Data Studio Co-Occurring Skills & Capabilities in London by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
