Sr. Data Analyst - Nba Delivery Optimization

Retirement World

Toronto, Canada
Hybrid
Python software engineering experience
Sql and data warehouse expertise
Jupyter notebooks and python applications
Design & Deploy Python Solutions – Architect, build, and integrate Jupyter notes and various python applications into RBC ecosystems, ensuring scalability and alignment with business objectives

Job Summary

  • Design & Deploy Python Solutions – Architect, build, and integrate Jupyter notes and various python applications into RBC ecosystems, ensuring scalability and alignment with business objectives.
  • Optimize Data Workflows – Develop, manage, and optimize data pipelines and supporting infrastructure; refine UI components to improve client targeting accuracy and user experience.
  • Drive Innovation – Research emerging technologies and capabilities, recommend solutions that advance NBA functionality, and support deployment of infrastructure changes in production environments.

Matching Summary

Design & Deploy Python Solutions – Architect, build, and integrate Jupyter notes and various python applications into RBC ecosystems, ensuring scalability and alignment with business objectives.

Skills & Requirements

Must-have

  • Python software engineering experience
  • SQL and data warehouse expertise
  • Jupyter notebooks and Python applications
  • Optimize data pipelines and workflows
  • Establish Python coding standards

Nice-to-have

  • AI agent development and deployment
  • Software engineering best practices
  • User-centered design thinking
  • Alternative database technologies
  • Public cloud platform proficiency
  • CI/CD pipeline and DevOps experience

Key Requirements

  • 2+ years software engineering/development experience
  • 2+ years SQL expertise
  • Bachelor's degree in relevant field or equivalent experience
  • Agile environment collaboration skills

Work Rights

Not specified

Tailored Resume

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