Data Modelling
Wiltshire > Warminster
The table below provides summary statistics and salary benchmarking for jobs advertised in Warminster requiring Data Modelling skills. It covers permanent job vacancies from the 6 months leading up to 10 April 2026, with comparisons to the same periods in the previous two years.
| 6 months to 10 Apr 2026 |
Same period 2025 | Same period 2024 | |
|---|---|---|---|
| Rank | 4 | - | 2 |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Data Modelling | 2 | 0 | 7 |
| As % of all permanent jobs in Warminster | 11.76% | - | 63.64% |
| As % of the Processes & Methodologies category | 20.00% | - | 87.50% |
| Number of salaries quoted | 0 | 0 | 2 |
| Median annual salary (50th Percentile) | - | - | £43,500 |
| Wiltshire median annual salary | £43,953 | - | £30,000 |
| % change year-on-year | - | - | -43.95% |
All Process & Methodology Skills
Warminster
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 Warminster.
| Permanent vacancies with a requirement for process or methodology skills | 10 | 0 | 8 |
| As % of all permanent jobs advertised in Warminster | 58.82% | - | 72.73% |
| Number of salaries quoted | 1 | 0 | 2 |
| Median annual salary (50th Percentile) | £80,000 | - | £43,500 |
| Median % change year-on-year | - | - | -8.42% |
| Wiltshire median annual salary | £52,500 | £50,000 | £49,500 |
| % change year-on-year | +5.00% | +1.01% | -1.00% |
Data Modelling
Job Vacancy Trend in Warminster
Historical trend showing the proportion of permanent IT job postings citing Data Modelling relative to all permanent IT jobs advertised in Warminster.
Data Modelling
Salary Trend in Warminster
Salary distribution trend for jobs in Warminster citing Data Modelling.
Data Modelling
Co-Occurring Skills & Capabilities in Warminster 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:
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