The following table provides summary statistics for permanent job vacancies advertised in Teddington with a requirement for Analytics skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Analytics over the 6 months to 26 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 26 Apr 2024
Same period 2023
Same period 2022
Rank
12
-
17
Rank change year-on-year
-
-
-14
Permanent jobs citing Analytics
4
0
1
As % of all permanent jobs advertised in Teddington
Analytics is in the Processes and Methodologies category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Teddington with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
36
15
47
As % of all permanent jobs advertised in Teddington
97.30%
88.24%
100.00%
Number of salaries quoted
3
13
11
10th Percentile
£37,050
-
-
25th Percentile
£44,250
£36,250
£31,250
Median annual salary (50th Percentile)
£56,500
£40,000
£37,500
Median % change year-on-year
+41.25%
+6.67%
-18.92%
75th Percentile
£57,625
£50,000
£74,000
90th Percentile
£58,300
£62,500
-
Richmond upon Thames median annual salary
£55,000
£48,687
£56,500
% change year-on-year
+12.97%
-13.83%
-1.74%
Analytics Job Vacancy Trend in Teddington
Job postings citing Analytics as a proportion of all IT jobs advertised in Teddington.
Analytics Salary Trend in Teddington
3-month moving average salary quoted in jobs citing Analytics in Teddington.
Analytics Top 12 Co-occurring Skills and Capabilities in Teddington
For the 6 months to 26 April 2024, 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 Teddington region with a requirement for Analytics.
Analytics Co-occurring Skills and Capabilities in Teddington 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:
