4 of 4 Shiny Jobs

will produce compelling analysis and visualisation of data to provide actionable insights to colleagues across the department using tools such as AWS QuickSight, R Shiny and Streamlit and programming languages such as SQL, R and Python. They will communicate with technical and non-technical audiences with the ability ...

Office applications (Access, Excel, Outlook, PowerPoint, and Word), SQL utilization software (e.g., SSMS), statistical tools (e.g., Python, R, SAS, SPSS), data visualization tools (e.g., Shiny, Tableau), the Oracle PeopleSoft ERP system, qualitative assessment tools (e.g., SurveyMonkey, Microsoft Forms) and/or related data structures and reporting tools; Experience teaching ...

needs into scalable product solutions Designing and building Python-based applications and analytics products Creating user-facing tools using technologies such as Streamlit, R Shiny, Dash or similar Delivering reporting and visualisation solutions where appropriate Presenting solutions and recommendations to technical and non-technical audiences Driving product adoption through … delivery Excellent stakeholder management and requirements gathering skills Ability to translate business problems into technology solutions Strong communication and consulting skills Desirable Streamlit, R Shiny, Dash or similar frameworks Power BI or other visualisation tools Product ownership or product management experience Analytics engineering experience SQL knowledge Experience within consulting ...

control Azure DevOps or equivalent repository, pipeline, and work management platforms Data visualisation and analytics product development Experience with analytical application frameworks such as: Shiny for Python Streamlit Dash Reporting and analytical tooling including Quarto or similar CI/CD pipelines and deployment practices Docker … based deployment Terraform or Infrastructure as Code (IaC) tooling Code review, testing, debugging, and software quality best practices Nice to Have Experience with: R Shiny Tidyverse Scientific or quantitative computing environments Experience building reusable frameworks, libraries, and analytical platforms Consulting or professional services background Experience supporting and scaling analytical ...