About this role
Develop and
productionize an already-prototyped, web-based visualization capability
supporting Volume Forecasting. The application will consume data directly from
CDLF and support three core use cases:
· Forecast
Validation: Generate predefined reports and visualizations for near-real-time
validation of Forecast Horizon submissions. Visualizations must align with the
existing planning “Book” standards.
· Visualization
Configuration: Enable users to configure predefined visualizations, save
selections, and retrieve/share configurations. Support up to approximately 100
visualization selections.
PowerPoint Generation: Generate and export up to
approximately 75 predefined and formatted PowerPoint slides based on selected
visualizations. Visualization content will be static, while applicable slide
elements such as titles remain editable.
· Functional requirement and Design Documents
· Unit Tested code
Test Scripts / Test report
Develop and productionize an
already-prototyped, web-based visualization capability supporting Volume
Forecasting. The application will consume data directly from Data Lake and
support three core use cases:
Strong
hands-on Python, HTML and web application development experience.
• Proven
experience using Claude Code efficiently for modular application development.
• Experience
building data-driven visualization applications.
• Experience
integrating applications with enterprise data platforms, databases and APIs.
• Ability to
take an existing working prototype and rapidly develop it toward an
enterprise-ready solution.
• Experience
with automated reporting and PowerPoint generation preferred.
• Strong
understanding of modular development, source control, testing and deployment
practices.
• Agile mindset
with ability to work within a compressed 4–6 week delivery timeline.
• Partner with
and take direction from the existing Commercial Finance BTS team.
Support applicable SDLC activities, testing and
documentation
Mandatory Technical
Skills (Must-Have) : Claude, Python, HTML
Preferred Technical
Skills (Nice-to-Have): AWS Data
Services, Pyspark, Any other web application dev related technologies
Tools / Technologies: Claude, Python, HTML
Industry Experience: Life Science Market Access exposure is advantage
Soft Skills: Communication,
Stakeholder Management, Critical Thinking and Analytical Mindset