The table below provides summary statistics for permanent job vacancies advertised in Thame 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 23 November 2025, 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.
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 Thame.
Permanent vacancies with a requirement for knowledge or experience of vendor products and services
1
3
3
As % of all permanent jobs advertised in Thame
10.00%
20.00%
60.00%
Number of salaries quoted
1
3
3
10th Percentile
-
-
£41,500
25th Percentile
£24,625
£71,250
£41,875
Median annual salary (50th Percentile)
£24,750
£77,500
£45,000
Median % change year-on-year
-68.06%
+72.22%
+20.00%
75th Percentile
£24,875
£83,750
£53,750
90th Percentile
-
-
£57,500
Oxfordshire median annual salary
£41,500
£47,500
£50,000
% change year-on-year
-12.63%
-5.00%
+5.26%
Salesforce Job Vacancy Trend in Thame
Historical trend showing the proportion of permanent IT job postings citing Salesforce relative to all permanent IT jobs advertised in Thame.
Salesforce Salary Trend in Thame
Salary distribution trend for jobs in Thame citing Salesforce.
Salesforce Top 8 Co-Occurring Skills & Capabilities in Thame
For the 6 months to 23 November 2025, job vacancies citing Salesforce 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 permanent job ads across the Thame region with a requirement for Salesforce.
Salesforce Co-Occurring Skills & Capabilities in Thame 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:
