**Job Summary**
**Job Title:** Data Student
**Location:** RBC Waterpark Place, 88 Queens Quay W, Toronto, Canada
**Employment Type:** Student/Co-op (Fixed Term)
**Work Hours/Week:** 37.5
**Pay Type:** Salaried
**Application Deadline:** January 17, 2025

**What is the Opportunity?**
RBC is seeking a Data Student for a 12-month co-op term. By applying, you will be considered for multiple roles across RBC Technology & Operations, including positions like Data Analyst and Data Scientist. Please apply only if you are eligible to complete a full 12-month co-op term.

**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, scope, 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 better ways to improve processes, tools, technologies.
- Work on transformational projects delivering new value.
- Collaborate as part of an agile team responsible for end-to-end delivery of business needs.
- Leverage business domain knowledge to lead the analytics process independent of others and identify innovative insights.
- Promote analytics across the enterprise to support RBC's data-driven initiatives.

**What Do You Need to Succeed?**
**Must-have:**
- Currently enrolled in a Canadian post-secondary institution with a focus on data science, computer science, mathematics, statistics, or machine learning.
- Leadership skills and a passion for applying them in a business environment.
- Excellent interpersonal and communication skills.
- Creative and analytical thinker who can work in a fast-paced environment.
- Experience or understanding of open-source software frameworks (e.g., Hadoop), data visualization tools (e.g., Tableau, Splunk), and databases (e.g., SQL, VBA).
- Programming skills in languages such as Python or R.
- Ability to extract, transform, and load data with various data types.
- Proficient in performing complex data analysis on large data volumes and presenting findings.

**Nice-to-have:**
- Experience building statistical and algorithmic models with large datasets (e.g., supervised statistical learning, clustering, natural language processing).
- Knowledge of analytics technologies and data warehouse concepts.
- Experience with relational database design.
- Ability to learn quickly and apply new concepts effectively.

**What's in It for You?**
- Thrive on challenges and progressive thinking.
- Network with diverse students across Canada.
- Participate in events and challenges to build your career toolkit.
- Receive support from leaders through coaching and development opportunities.
- Work in a dynamic, collaborative team environment.
- Enjoy a casual dress environment.

**How to Apply:**
We encourage you to apply as soon as possible. Applications will be accepted until 11:59 PM on the day prior to the application deadline. If selected for further steps in the hiring process, someone from our team will reach out with instructions. For updates on your application status, please log into your RBC profile.

**Inclusion and Equal Opportunity Employment**
RBC embraces diversity and inclusion to foster innovation and growth. We are committed to creating equitable workplaces and providing accessible candidate experiences.

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