Sr. Data Analyst - Next Best Action - Delivery Optimization

Job Description

What is the opportunity?

We are seeking an experienced Senior Data Analyst & Python Developer to contribute and build upon the ecosystem with collaboration with our technology/business partners across the bank. This role offers the opportunity to collaborate across technology and business partners throughout the bank, exploring emerging technologies and contributing to high-impact projects and expand into different areas of interest or additional projects that align with your expertise.

This role works in the office 3 to 4 days a week.

• 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.
• Establish Technical Standards – Create and maintain Python coding standards and Jupyter notebook environments; optimize code across Python, SAS, and SQL to ensure performance and maintainability.
• Drive Innovation – Research emerging technologies and capabilities, recommend solutions that advance NBA functionality, and support deployment of infrastructure changes in production environments.
• Enable Independence & Collaboration – Work effectively both autonomously and within cross‑functional teams in an agile environment, leveraging advanced SQL and data analysis skills to support AI/automation workflows.

• 2+ years of hands‑on software engineering or development experience (Python, Java, Scala, or equivalent); demonstrated proficiency with Python, SQL, and data warehouse technologies.
• 2+ years of SQL expertise and relational database management (MySQL, Postgres, SQL Server, Snowflake, or equivalent).
• Advanced Problem‑Solving – Strong analytical skills with the ability to adapt quickly to emerging technologies and simplify complex workflows.
• Agile Collaboration – Ability to work independently and cross‑functionally in agile environments with strong communication skills.
• Technical Foundation – Bachelor's degree in Computer Science, Data Analytics, Software Engineering, Data Engineering, or equivalent professional experience.
• Continuous Learning Mindset – Demonstrated curiosity and commitment to professional development and supporting colleagues.
• Bachelor’s degree or master’s degree in computer science, data analytics, software engineering, data engineering, artificial Intelligence or equivalent experience in the field

• AI Agent Development & Deployment – Experience in design, build, and implement AI agents that automate routine processes, reduce manual effort, and drive measurable improvements in operational efficiency and cycle time.
• Software engineering best practices and user‑centered design thinking.
• Experience with alternative database technologies (No
  
  SQL, graph databases, vector databases).
• Proficiency with public cloud platforms (Azure, AWS, GCP, Open Shift) and multi‑cloud/hybrid environments.
• CI/CD pipeline and Dev Ops tools experience.
• Mobile or web development background.
• Financial services industry experience with knowledge of marketing, product management, sales, finance, and risk frameworks.

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• We are proud to offer a comprehensive compensation program which includes a competitive salary, bonuses, flexible benefits.
• Leaders who support your development through coaching and managing opportunities
• We promise you’ll work in an inclusive, collaborative, progressive, and high‑performing team.

AI Agents, Amazon Web Services (AWS), Business Intelligence Tools, Data Analysis, Data ETL, Data Insights, Data Pipelines, Git Hub, Jupyter Notebooks, Python (Programming Language), Structured Query Language…