The following table provides summary statistics for permanent job vacancies advertised in Kidlington with a requirement for Data Modelling skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Data Modelling over the 6 months to 9 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 9 May 2024
Same period 2023
Same period 2022
Rank
8
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Data Modelling
7
0
0
As % of all permanent jobs advertised in Kidlington
Data 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 Kidlington with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
35
0
15
As % of all permanent jobs advertised in Kidlington
71.43%
-
100.00%
Number of salaries quoted
32
0
2
10th Percentile
£38,000
-
£49,375
25th Percentile
£42,500
-
£52,188
Median annual salary (50th Percentile)
£45,000
-
£58,750
Median % change year-on-year
-
-
+31.65%
75th Percentile
£63,125
-
£64,688
90th Percentile
£68,975
-
£67,125
Oxfordshire median annual salary
£50,000
£52,500
£55,000
% change year-on-year
-4.76%
-4.55%
+10.45%
Data Modelling Job Vacancy Trend in Kidlington
Job postings citing Data Modelling as a proportion of all IT jobs advertised in Kidlington.
Data Modelling Salary Trend in Kidlington
3-month moving average salary quoted in jobs citing Data Modelling in Kidlington.
Data Modelling Top 18 Co-occurring Skills and Capabilities in Kidlington
For the 6 months to 9 May 2024, 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 Kidlington region with a requirement for Data Modelling.
Data Modelling Co-occurring Skills and Capabilities in Kidlington 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:
