The table below provides summary statistics and salary benchmarking for jobs advertised in Camberley requiring Data Analysis skills. It covers vacancies from the 6 months leading up to 10 September 2025, with comparisons to the same periods in the previous two years.
6 months to 10 Sep 2025
Same period 2024
Same period 2023
Rank
13
19
-
Rank change year-on-year
+6
-
-
Permanent jobs citing Data Analysis
1
1
0
As % of all permanent jobs advertised in Camberley
Data Analysis falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Camberley.
Permanent vacancies with a requirement for process or methodology skills
39
70
61
As % of all permanent jobs advertised in Camberley
95.12%
85.37%
96.83%
Number of salaries quoted
25
40
38
10th Percentile
£29,600
£35,000
£35,000
25th Percentile
£35,000
£40,000
£40,000
Median annual salary (50th Percentile)
£40,000
£45,000
£50,500
Median % change year-on-year
-11.11%
-10.89%
-14.04%
75th Percentile
£65,000
£60,000
£66,875
90th Percentile
£75,000
£82,500
£70,000
Surrey median annual salary
£46,000
£51,000
£57,500
% change year-on-year
-9.80%
-11.30%
+4.55%
Data Analysis Job Vacancy Trend in Camberley
Job postings citing Data Analysis as a proportion of all IT jobs advertised in Camberley.
Data Analysis Salary Trend in Camberley
Salary distribution trend for jobs in Camberley citing Data Analysis.
Data Analysis Top 17 Co-occurring Skills and Capabilities in Camberley
For the 6 months to 10 September 2025, job vacancies citing Data Analysis 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 Camberley region with a requirement for Data Analysis.
Data Analysis Co-occurring Skills and Capabilities in Camberley 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:
