Jupyter (JupyterHub, JupyterLab)
North Wales > Wrexham
The following table provides summary statistics for permanent job vacancies advertised in Wrexham with a requirement for Jupyter skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Jupyter over the 6 months to 29 April 2024 with a comparison to the same period in the previous 2 years.
| 6 months to 29 Apr 2024 |
Same period 2023 | Same period 2022 | |
|---|---|---|---|
| Rank | 5 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Jupyter | 3 | 0 | 0 |
| As % of all permanent jobs advertised in Wrexham | 13.64% | - | - |
| As % of the Application Platforms category | 60.00% | - | - |
| Number of salaries quoted | 3 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £26,250 | - | - |
| Median annual salary (50th Percentile) | £27,500 | - | - |
| 75th Percentile | £28,750 | - | - |
| 90th Percentile | - | - | - |
| North Wales median annual salary | £27,500 | - | - |
All Application Platform Skills
Wrexham
Jupyter is in the Application Platforms category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Wrexham with a requirement for application platform skills.
| Permanent vacancies with a requirement for application platform skills | 5 | 1 | 7 |
| As % of all permanent jobs advertised in Wrexham | 22.73% | 0.77% | 14.00% |
| Number of salaries quoted | 3 | 1 | 7 |
| 10th Percentile | - | - | £42,000 |
| 25th Percentile | £26,250 | £36,250 | £42,500 |
| Median annual salary (50th Percentile) | £27,500 | £37,500 | £55,000 |
| Median % change year-on-year | -26.67% | -31.82% | - |
| 75th Percentile | £28,750 | £38,750 | £57,500 |
| 90th Percentile | - | - | £60,000 |
| North Wales median annual salary | £34,000 | £41,250 | £43,750 |
| % change year-on-year | -17.58% | -5.71% | +59.09% |
Jupyter
Co-occurring Skills and Capabilities in Wrexham 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: