RBC Senior Manager, Data Engineering & Analytics
Posted Updated
Summary
RBC is hiring a Senior Manager of Data Engineering & Analytics in Toronto who designs, builds, and maintains data solutions and pipelines (Teradata, AWS), documents reporting frameworks, automates visualization workflows, and supports ML development alongside data scientists. Core technologies include SQL, Python, Tableau, AWS, and Teradata.
Join RBC as the Senior Manager of Data Engineering and Analytics, based in Toronto. Your expertise will help shape data-driven decision-making and improve sales practices.
In this critical role, you’ll design, develop, and maintain data solutions that empower business teams to navigate risks and optimize client interactions. Your proficiency in data engineering and analytics, especially regarding cloud solutions, will be instrumental as you collaborate closely with business leaders to implement effective methodologies. Engaging communication skills will further allow you to convey complex data insights successfully.
Key Responsibilities: • Develop and document Culture & Conduct reporting frameworks • Build and manage data pipelines using Teradata and AWS • Collaborate across teams to clarify business objectives • Enhance automated workflows for visualization tasks • Support development of ML algorithms with data scientists
Requirements: • Minimum of 3 years in a financial services role • Advanced capabilities in SQL and Python • Strong background in data visualization with Tableau • Ability to analyze large volumes of complex data • Familiarity with AWS and big data technologies
Empower data-driven strategies and enhance decision-making processes at RBC as a key leader.
In this critical role, you’ll design, develop, and maintain data solutions that empower business teams to navigate risks and optimize client interactions. Your proficiency in data engineering and analytics, especially regarding cloud solutions, will be instrumental as you collaborate closely with business leaders to implement effective methodologies. Engaging communication skills will further allow you to convey complex data insights successfully.
Key Responsibilities: • Develop and document Culture & Conduct reporting frameworks • Build and manage data pipelines using Teradata and AWS • Collaborate across teams to clarify business objectives • Enhance automated workflows for visualization tasks • Support development of ML algorithms with data scientists
Requirements: • Minimum of 3 years in a financial services role • Advanced capabilities in SQL and Python • Strong background in data visualization with Tableau • Ability to analyze large volumes of complex data • Familiarity with AWS and big data technologies
Empower data-driven strategies and enhance decision-making processes at RBC as a key leader.