Salesforce
Wiltshire > Malmesbury
The table below provides summary statistics for permanent job vacancies advertised in Malmesbury requiring knowledge or experience of Salesforce products and/or services. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Salesforce over the 6 months leading up to 15 April 2026, comparing them to the same period in the previous two years.
The figures below represent the IT labour market in general and are not representative of salaries within Salesforce.
| 6 months to 15 Apr 2026 |
Same period 2025 | Same period 2024 | |
|---|---|---|---|
| Rank | 2 | - | 3 |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Salesforce | 5 | 0 | 1 |
| As % of all permanent jobs in Malmesbury | 31.25% | - | 14.29% |
| As % of the Vendors category | 100.00% | - | 100.00% |
| Number of salaries quoted | 0 | 0 | 0 |
| Median annual salary (50th Percentile) | - | - | - |
| Wiltshire median annual salary | £39,500 | £52,373 | £58,700 |
| % change year-on-year | -24.58% | -10.78% | +22.96% |
All Vendors
Malmesbury
Salesforce falls under the Vendor Products and Services category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring knowledge or experience of all vendor products and services in Malmesbury.
| Permanent vacancies with a requirement for knowledge or experience of vendor products and services | 5 | 0 | 1 |
| As % of all permanent jobs advertised in Malmesbury | 31.25% | - | 14.29% |
| Number of salaries quoted | 0 | 0 | 0 |
| Median annual salary (50th Percentile) | - | - | - |
| Wiltshire median annual salary | £42,500 | £40,000 | £49,000 |
| % change year-on-year | +6.25% | -18.37% | +2.08% |
Salesforce
Job Vacancy Trend in Malmesbury
Historical trend showing the proportion of permanent IT job postings citing Salesforce relative to all permanent IT jobs advertised in Malmesbury.
Salesforce
Co-Occurring Skills & Capabilities in Malmesbury 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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