The table below provides summary statistics and salary benchmarking for jobs advertised in Twickenham requiring Data Analytics skills. It covers permanent job vacancies from the 6 months leading up to 20 October 2025, with comparisons to the same periods in the previous two years.
Data 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 Twickenham.
Permanent vacancies with a requirement for process or methodology skills
14
22
8
As % of all permanent jobs advertised in Twickenham
100.00%
100.00%
100.00%
Number of salaries quoted
3
6
3
10th Percentile
£30,100
£41,859
£34,314
25th Percentile
£42,250
£54,169
£38,910
Median annual salary (50th Percentile)
£65,000
£64,425
£48,687
Median % change year-on-year
+0.89%
+32.33%
+2.50%
75th Percentile
£67,500
£68,750
£50,803
90th Percentile
-
-
-
Richmond upon Thames median annual salary
£45,000
£61,350
£50,000
% change year-on-year
-26.65%
+22.70%
-4.76%
Data Analytics Job Vacancy Trend in Twickenham
Historical trend showing the proportion of permanent IT job postings citing Data Analytics relative to all permanent IT jobs advertised in Twickenham.
Data Analytics Salary Trend in Twickenham
Salary distribution trend for jobs in Twickenham citing Data Analytics.
Data Analytics Top 24 Co-Occurring Skills & Capabilities in Twickenham
For the 6 months to 20 October 2025, job vacancies citing Data Analytics 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 Twickenham region with a requirement for Data Analytics.
Data Analytics Co-Occurring Skills & Capabilities in Twickenham 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:
