The table below provides summary statistics for permanent job vacancies advertised in Camberley requiring Analytics skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Analytics over the 6 months leading up to 2 August 2025, comparing them to the same period in the previous two years.
6 months to 2 Aug 2025
Same period 2024
Same period 2023
Rank
14
-
20
Rank change year-on-year
-
-
-3
Permanent jobs citing Analytics
3
0
2
As % of all permanent jobs advertised in Camberley
Analytics 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
44
70
87
As % of all permanent jobs advertised in Camberley
95.65%
83.33%
94.57%
Number of salaries quoted
29
41
59
10th Percentile
£28,000
-
£28,100
25th Percentile
£35,000
£33,000
£36,750
Median annual salary (50th Percentile)
£40,000
£44,000
£52,500
Median % change year-on-year
-9.09%
-16.19%
-12.50%
75th Percentile
£59,652
£60,000
£60,000
90th Percentile
£75,000
£82,500
£68,000
Surrey median annual salary
£48,500
£50,000
£57,500
% change year-on-year
-3.00%
-13.04%
+4.55%
Analytics Job Vacancy Trend in Camberley
Job postings citing Analytics as a proportion of all IT jobs advertised in Camberley.
Analytics Salary Trend in Camberley
3-month moving average salary quoted in jobs citing Analytics in Camberley.
Analytics Top 17 Co-occurring Skills and Capabilities in Camberley
For the 6 months to 2 August 2025, job vacancies citing Analytics 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 Analytics.
Analytics 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:
