The following table provides summary statistics for permanent job vacancies advertised in Brentford with a requirement for Analytical Modelling skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Analytical Modelling over the 6 months to 8 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 8 May 2024
Same period 2023
Same period 2022
Rank
23
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Analytical Modelling
2
0
0
As % of all permanent jobs advertised in Brentford
Analytical Modelling 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 Brentford with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
61
19
116
As % of all permanent jobs advertised in Brentford
84.72%
54.29%
95.08%
Number of salaries quoted
16
2
30
10th Percentile
£51,375
£60,250
£41,050
25th Percentile
£60,063
£64,375
£52,500
Median annual salary (50th Percentile)
£72,500
£72,500
£72,500
Median % change year-on-year
-
-
+20.83%
75th Percentile
£83,125
£79,375
£82,500
90th Percentile
£93,500
£82,750
£90,000
Hounslow median annual salary
£50,000
£50,000
£60,000
% change year-on-year
-
-16.67%
+4.35%
Analytical Modelling Job Vacancy Trend in Brentford
Job postings citing Analytical Modelling as a proportion of all IT jobs advertised in Brentford.
Analytical Modelling Top 7 Co-occurring Skills and Capabilities in Brentford
For the 6 months to 8 May 2024, job vacancies citing Analytical Modelling 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 Brentford region with a requirement for Analytical Modelling.
Analytical Modelling Co-occurring Skills and Capabilities in Brentford 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:
