AI Data Analyst Co-op – GenAI Insights & Dashboards (Toronto)

ODAIA

Toronto

On-site

CAD 28,000 - 33,000

Full time

9 days ago

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Job summary

RBC Borealis is seeking a Data Analyst Co-op to join the AI Business Enablement team in Toronto. You will build dashboards, translate usage data into actionable insights, and help shape enterprise GenAI adoption strategies.

The role emphasizes data analysis, storytelling with data, and collaboration with product and analytics teams. Ideal candidates are enrolled in a Canadian program and proficient in Python, SQL, and BI tools.

Qualifications

Currently enrolled in a Canadian post-secondary institution with a focus on Data Analytics.
Excellent interpersonal and highly developed communication skills (verbal and written).
Creative and analytical thinker who is self-driven and capable of working in a fast-paced environment.
Strong MS Office skills – Word, Outlook, Excel and PowerPoint.
Knowledge of Programming and Scripting Languages, such as Python and SQL.
Knowledge of Data + Engineering Skills, such as Data Analysis and Data Visualization.
Knowledge of Database Technologies, such as Microsoft SQL Server and PostgreSQL.
Knowledge of other specific tools, such as Tableau and PowerBI.

Responsibilities

Build and maintain adoption dashboards tracking RBC’s generative AI solution usage across Business Units and Functions, measuring feature adoption, time-to-value, usage patterns, and adoption curve progression.
Deliver weekly insights readouts to the AI Business Enablement team and Product team, translating usage data into actionable "so what?" recommendations that surface opportunities for greater business value.
Monitor and synthesize external GenAI trends to contextualize RBC's internal adoption patterns, identify emerging use cases, and surface implications for enterprise GenAI strategy.
Conduct qualitative user research by engaging with communities of RBC’s generative AI solution users to capture success stories, identify adoption barriers, and document high-value use cases.
Support phased rollout activities across business units and functions, including event support, post-go-live analysis, and creating repeatable measurement playbooks.