**Job Summary**

**Job Title:** Data Student (8-Month Co-op)
**Location:** RBC Waterpark Place, 88 Queens Quay W, Toronto, Canada
**Employment Type:** Full-time (Fixed Term)
**Work Hours:** 37.5 hours/week
**Pay Type:** Salaried
**Posted Date:** December 13, 2024
**Application Deadline:** January 18, 2025

**What is the opportunity?**
Join RBC as a Data Student for an 8-month co-op opportunity. You will be considered for multiple roles within RBC Technology & Operations, including Data Analyst and Data Scientist. Please apply only if you are eligible to complete a full 8-month co-op term with your school.

**What will you do?**
- Analyze, design, deliver, and implement analytic development projects using RBC’s analytics tools.
- Ensure project activities are accomplished within approved time frames, scopes, and budgets.
- Apply data warehouse concepts and methodologies to various projects.
- Utilize the latest technologies to design and build data solutions that meet business needs.
- Contribute actively to your team and the RBC development community.
- Seek out better processes, tools, and technologies.
- Work on transformational projects that deliver new value.
- Collaborate as part of an agile team responsible for end-to-end delivery of business needs.
- Independently lead the analytics process to identify valuable insights.
- Promote analytics across the enterprise to enhance RBC’s data-driven initiatives.

**What do you need to succeed?**
**Must-have:**
- Enrollment at a Canadian post-secondary institution focusing on data science, computer science, mathematics, statistics, or machine learning.
- Leadership acumen with a passion for applying it in a dynamic business environment.
- Excellent interpersonal and communication skills (verbal and written).
- Creative and analytical thinker capable of working in a fast-paced environment.
- Experience or understanding of open-source software frameworks (Hadoop), data visualization tools (Tableau, Splunk), and databases (SQL, VBA).
- Programming skills in one or more languages (e.g., Python, R).
- Ability to extract, transform, and load data, as well as perform complex data analysis on large datasets.
- Strong MS Office skills (Word, Outlook, Excel, PowerPoint).

**Nice-to-have:**
- Proficiency in building statistical and algorithmic models with large datasets, including supervised learning, clustering, and A/B testing.
- Knowledge of current analytics technologies and data warehouse concepts.
- Relational database concepts and design experience.
- Ability to quickly learn and apply new concepts.

**What’s in it for you?**
- Network with diverse students from across Canada.
- Participate in engaging events and challenges to build your career toolkit.
- Benefit from leaders who support your development through coaching and learning opportunities.
- Work in a collaborative and dynamic team environment.
- Enjoy a comfortable work atmosphere with the option to dress casually.

**Inclusion and Equal Opportunity Employment**
RBC embraces diversity and inclusion for innovation and growth. We are committed to building inclusive teams and providing an equitable workplace. We support diverse talent, clients, and communities and strive to deliver an accessible candidate experience. If you require accommodations during the recruitment process, please let us know.

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