The table below provides summary statistics for permanent job vacancies advertised in Chichester requiring Data Modelling skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Data Modelling over the 6 months leading up to 24 June 2025, comparing them to the same period in the previous two years.
6 months to 24 Jun 2025
Same period 2024
Same period 2023
Rank
8
-
12
Rank change year-on-year
-
-
0
Permanent jobs citing Data Modelling
2
0
2
As % of all permanent jobs advertised in Chichester
Data Modelling 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 Chichester.
Permanent vacancies with a requirement for process or methodology skills
17
59
33
As % of all permanent jobs advertised in Chichester
94.44%
96.72%
89.19%
Number of salaries quoted
14
58
31
10th Percentile
£50,000
£34,886
-
25th Percentile
£55,000
£37,500
£33,750
Median annual salary (50th Percentile)
£60,000
£42,500
£42,500
Median % change year-on-year
+41.18%
-
-20.56%
75th Percentile
-
£73,750
£51,250
90th Percentile
-
-
£55,000
West Sussex median annual salary
£51,000
£55,000
£55,000
% change year-on-year
-7.27%
-
-
Data Modelling Job Vacancy Trend in Chichester
Job postings citing Data Modelling as a proportion of all IT jobs advertised in Chichester.
Data Modelling Salary Trend in Chichester
3-month moving average salary quoted in jobs citing Data Modelling in Chichester.
Data Modelling Top 13 Co-occurring Skills and Capabilities in Chichester
For the 6 months to 24 June 2025, job vacancies citing Data 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 Chichester region with a requirement for Data Modelling.
Data Modelling Co-occurring Skills and Capabilities in Chichester 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:
