The table below provides summary statistics and contractor rates for jobs advertised in Esher requiring Data Modelling skills. It covers contract job vacancies from the 6 months leading up to 21 October 2025, with comparisons to the same periods in the previous two years.
Data Modelling falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring process or methodology skills in Esher.
Contract vacancies with a requirement for process or methodology skills
1
0
4
As % of all contract IT jobs advertised in Esher
100.00%
-
100.00%
Number of daily rates quoted
1
0
2
10th Percentile
-
-
£125
25th Percentile
-
-
£133
Median daily rate (50th Percentile)
£500
-
£145
Median % change year-on-year
-
-
-69.47%
75th Percentile
-
-
£158
90th Percentile
-
-
£165
Surrey median daily rate
£488
£450
£525
% change year-on-year
+8.33%
-14.29%
-
Number of hourly rates quoted
0
0
2
10th Percentile
-
-
-
25th Percentile
-
-
£14.42
Median hourly rate
-
-
£14.83
75th Percentile
-
-
£15.25
90th Percentile
-
-
-
Surrey median hourly rate
£55.00
£60.00
£61.63
% change year-on-year
-8.33%
-2.64%
+36.96%
Data Modelling Job Vacancy Trend in Esher
Historical trend showing the proportion of contract IT job postings citing Data Modelling relative to all contract IT jobs advertised in Esher.
Data Modelling Top 11 Co-Occurring Skills & Capabilities in Esher
For the 6 months to 21 October 2025, contractor job vacancies citing Data Modelling 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 contract job ads across the Esher region with a requirement for Data Modelling.
Data Modelling Co-Occurring Skills & Capabilities in Esher 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:
