2027 Winter Student Opportunities RBC Borealis - AI Data Analyst - 8 Months

Job Description LOCATION: TORONTO What is the opportunity? Are you interested in working as a Data Analyst Co-op on the Innovation & Tech team in Technology & Operations at the Royal Bank of Canada? RBC`s AI Business Enablement team is responsible for identifying and shaping opportunities for artificial intelligence (machine learning and generative ai, specifically) to produce measurable business value across Business Units and Functions. We oversee a portfolio of opportunities ranging from near term to long term, partnering on delivery alongside domain experts, AI researchers, and machine learning software engineers. What will you do? 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 from consumer-grade tools (ChatGPT, Claude, Gemini, etc.) 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 that demonstrate measurable business impact Support phased rollout activities across business units and functions, including event support, post-go-live analysis, and creating repeatable measurement playbooks that standardize how the AI Business Enablement team tracks and reports value What do you need to succeed? Must-have Currently enrolled at 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 Nice-to-have Experience using or analyzing generative AI tools (Claude, Gemini, Copilot, etc.) for productivity or research Prior co-op or work experience in product analytics, user research, or data-driven decision-making Knowledge of Data + Engineering Skills, such as ML/AI Concepts and Statistical Analysis Transferrable Skills: Communication, Analytical Thinking, Curiosity What’s in it for you? 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. Network and build lasting relationships with students from diverse backgrounds from across Canada Participate in fun events and gamification challenges to help build your career tool kit while enjoying work-life balance Leaders who support your development through coaching and learning opportunities Work in a dynamic, collaborative, progressive and high-performing team Ability to make a difference and lasting impact Enjoy a comfortable work environment with the option to dress casually About RBC Borealis RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank. Inclusion and Equal Opportunity Employment At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities. We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process. Required Documents: Resume and Academic Transcripts (unofficial are acceptable) in one PDF document Please ensure you submit these two documents in one PDF document under the “resume” section. Do not submit them separately. We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is September 20, 2026. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review. EARLYTECHTALENT Job Skills Active Learning, Adaptability, Communication, Creativity, Interpersonal Relationships, Listening Effectively, Personal Development, Personal Initiative, Teamwork Additional Job Details Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Student/Coop (Fixed Term) Pay Type: Salaried Posted Date: 2026-08-17 Application Deadline: 2026-09-21 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

The Data Analyst will build and maintain adoption dashboards to track generative AI usage and deliver actionable insights to the product team. They will also conduct qualitative user research and support phased rollout activities across business units.

Candidates must be currently enrolled in a Canadian post-secondary institution with a focus on Data Analytics. Strong proficiency in Python, SQL, and data visualization tools is required, along with excellent communication skills.

• Coaching and learning opportunities • Work-life balance • Career development • Collaborative work environment

• Visualisation de donnéesSouhaitée
• SQLSouhaitée
• TableauSouhaitée
• PostgreSQLSouhaitée
• Analyse de donnéesSouhaitée
• Apprentissage automatiqueSouhaitée
• CommunicationSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Analysis
• Data Visualization
• Python
• SQL
• Microsoft SQL Server
• PostgreSQL
• Tableau
• PowerBI
• Generative AI
• Product Analytics
• User Research
• Statistical Analysis
• Communication
• Analytical Thinking
• Machine Learning
• Time Series Analysis And Forecasting
• ChatGPT
• Responsible AI
• Workplace Inclusivity
• Generative Artificial Intelligence
• Platform Design And Development
• AI Research
• Curiosity
• Go (Programming Language)
• Resilience
• Data-Driven Decision Making
• Microsoft Excel
• Research
• Active Learning
• Adaptability
• Artificial Intelligence
• Business Continuity Planning
• Dashboard
• Business Valuation
• Creativity
• Data Engineering
• Finance
• Financial Services
• Gamification
• Scalability
• Innovation
• Python (Programming Language)
• Microsoft Outlook
• Microsoft Office
• Microsoft SQL Servers
• Operations
• Microsoft PowerPoint
• Power BI
• Coaching
• Software Engineering

• Data & Analytics
• Technology
• Finance & Accounting
• Software
• Engineering
• Student Data Analyst
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists

Formation minimale

Baccalauréat

Expérience minimale

0+ ans

Postuler avant le

21 sept. 2026

Langue de l’offre

anglais

Heures de travail

38 heures par semaine