Jupyter (JupyterHub, JupyterLab) West Midlands> Birmingham
The following table provides summary statistics for permanent job vacancies advertised in Birmingham 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 2 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 2 May 2024
Same period 2023
Same period 2022
Rank
147
-
193
Rank change year-on-year
-
-
-
Permanent jobs citing Jupyter
1
0
1
As % of all permanent jobs advertised in Birmingham
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 Birmingham with a requirement for application platform skills.
Permanent vacancies with a requirement for application platform skills
336
234
382
As % of all permanent jobs advertised in Birmingham
12.32%
11.74%
12.21%
Number of salaries quoted
275
200
307
10th Percentile
£32,540
£28,532
£31,000
25th Percentile
£41,250
£38,966
£40,000
Median annual salary (50th Percentile)
£55,000
£55,000
£52,500
Median % change year-on-year
-
+4.76%
+5.00%
75th Percentile
£67,500
£69,375
£68,750
90th Percentile
£76,809
£85,000
£85,000
West Midlands median annual salary
£45,000
£47,500
£47,000
% change year-on-year
-5.26%
+1.06%
+4.44%
Jupyter Job Vacancy Trend in Birmingham
Job postings citing Jupyter as a proportion of all IT jobs advertised in Birmingham.
Jupyter Salary Trend in Birmingham
3-month moving average salary quoted in jobs citing Jupyter in Birmingham.
Jupyter Top 27 Co-occurring Skills and Capabilities in Birmingham
For the 6 months to 2 May 2024, job vacancies citing Jupyter also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Birmingham region with a requirement for Jupyter.
Jupyter Co-occurring Skills and Capabilities in Birmingham 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:
