Business-to-Business (B2B)
Richmond upon Thames > Teddington
The table below provides summary statistics and salary benchmarking for jobs advertised in Teddington requiring B2B skills. It covers permanent job vacancies from the 6 months leading up to 9 June 2026, with comparisons to the same periods in the previous two years.
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6 months to 9 Jun 2026 |
Same period 2025 | Same period 2024 |
|---|---|---|---|
| Rank | 1 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing B2B | 2 | 0 | 0 |
| As % of all permanent jobs in Teddington | 50.00% | - | - |
| As % of the Processes & Methodologies category | 50.00% | - | - |
| Number of salaries quoted | 0 | 0 | 0 |
| Median annual salary (50th Percentile) | - | - | - |
| Richmond upon Thames median annual salary | £95,000 | - | - |
All Process & Methodology Skills
Teddington
B2B 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 Teddington.
| Permanent vacancies with a requirement for process or methodology skills | 4 | 12 | 31 |
| As % of all permanent jobs advertised in Teddington | 100.00% | 100.00% | 96.88% |
| Number of salaries quoted | 1 | 0 | 3 |
| 10th Percentile | - | - | £53,250 |
| 25th Percentile | - | - | £54,375 |
| Median annual salary (50th Percentile) | £37,600 | - | £56,500 |
| Median % change year-on-year | - | - | +41.25% |
| 75th Percentile | - | - | £58,125 |
| 90th Percentile | - | - | £58,500 |
| Richmond upon Thames median annual salary | £60,000 | £47,000 | £55,000 |
| % change year-on-year | +27.66% | -14.55% | +12.97% |
B2B
Job Vacancy Trend in Teddington
Historical trend showing the proportion of permanent IT job postings citing B2B relative to all permanent IT jobs advertised in Teddington.
B2B
Salary Trend in Teddington
Salary distribution trend for jobs in Teddington citing B2B.
B2B
Co-Occurring Skills & Capabilities in Teddington 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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