Jupyter Jobs in Leeds

Jupyter (JupyterHub, JupyterLab)
West Yorkshire > Leeds

The following table provides summary statistics for permanent job vacancies advertised in Leeds 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 132 176 -
Rank change year-on-year +44 - -
Permanent jobs citing Jupyter 1 7 0
As % of all permanent jobs advertised in Leeds 0.044% 0.23% -
As % of the Application Platforms category 0.45% 2.42% -
Number of salaries quoted 0 6 0
Median annual salary (50th Percentile) - £60,000 -
West Yorkshire median annual salary - £60,000 -

All Application Platform Skills
Leeds

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 Leeds with a requirement for application platform skills.

Permanent vacancies with a requirement for application platform skills 223 289 433
As % of all permanent jobs advertised in Leeds 9.88% 9.53% 11.47%
Number of salaries quoted 143 166 290
10th Percentile £29,000 £30,875 £27,750
25th Percentile £34,500 £40,000 £37,875
Median annual salary (50th Percentile) £47,500 £50,000 £50,000
Median % change year-on-year -5.00% - -4.76%
75th Percentile £75,772 £66,250 £65,000
90th Percentile £85,000 £77,715 £77,500
West Yorkshire median annual salary £45,000 £50,000 £45,000
% change year-on-year -10.00% +11.11% -5.26%

Jupyter
Job Vacancy Trend in Leeds

Job postings citing Jupyter as a proportion of all IT jobs advertised in Leeds.

Job vacancy trend for Jupyter in Leeds

Jupyter
Salary Trend in Leeds

3-month moving average salary quoted in jobs citing Jupyter in Leeds.

Salary trend for Jupyter in Leeds

Jupyter
Co-occurring Skills and Capabilities in Leeds 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:

Applications
1 1 (100.00%) Microsoft Excel
Cloud Services
1 1 (100.00%) Power Platform
Database & Business Intelligence
1 1 (100.00%) Power BI
General
1 1 (100.00%) Banking
1 1 (100.00%) Finance
1 1 (100.00%) Inclusion and Diversity
1 1 (100.00%) Retail
Job Titles
1 1 (100.00%) Analyst
1 1 (100.00%) Market Analyst
1 1 (100.00%) Market Risk Analyst
1 1 (100.00%) Risk Analyst
1 1 (100.00%) Senior
1 1 (100.00%) Senior Analyst
1 1 (100.00%) Senior Risk Analyst
Miscellaneous
1 1 (100.00%) Market Risk
1 1 (100.00%) Renewable Energy
Processes & Methodologies
1 1 (100.00%) B2B
1 1 (100.00%) Backtesting
1 1 (100.00%) Data Analysis
1 1 (100.00%) Econometric Modelling
1 1 (100.00%) Problem-Solving
1 1 (100.00%) Quantitative Analysis
1 1 (100.00%) Statistics
1 1 (100.00%) Validation
Programming Languages
1 1 (100.00%) Python
1 1 (100.00%) SQL
1 1 (100.00%) VBA
Qualifications
1 1 (100.00%) Degree
1 1 (100.00%) Master's Degree
Vendors
1 1 (100.00%) Dataiku
1 1 (100.00%) Microsoft