Job Summary Job Description What is the opportunity? Data Student
- Data Analyst
- Data Scientist
What will you do?
- Analyze, design, deliver, and implement analytic development projects, with the use of RBC's analytics tools
- Ensure that project activities are accomplished within approved time frames, scope, and budgets
- Apply data warehouse concepts and methodologies to various projects
- Utilize the latest technologies available, designing and building data solutions to meet business needs
- Be an active contributor to not only your individual team, but to the RBC development community
- Constantly seek out better ways to do things, new tools, new technologies, new processes
- Work on transformational projects delivering new value
- Work as part of an agile team responsible for end-to-end delivery of business needs
- Use business domain knowledge to independently lead the analytics process to identify valuable and innovative insights
- Promote analytics across the enterprise to enable RBC to become a data-driven organization
What do you need to succeed? Must-have
- Currently enrolled at a Canadian post-secondary institution with a focus on data science, computer science, mathematics, statistics, machine learning
- Leadership acumen and a passion to apply it in a dynamic business environment
- 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
- Experience or understanding of open-source software frameworks (Hadoop), data visualization tools (Tableau and Splunk), and databases (SQL and/or VBA)
- Programming skills in one or more languages (ex. Python, R)
- Ability to data extract, transform, and load processes with a variety of data types
- Ability to perform complex data analysis on large volumes of data and present findings to stakeholders
- Strong MS Office skills -- Word, Outlook, Excel and PowerPoint
Nice-to-have
- Proficient in building statistical and algorithmic models with complex and large datasets, including but not limited to: supervised statistical learning, clustering, natural language processing, recommendation systems, times-series analysis, experimental design (A/B testing), data visualization, deep learning
- Knowledge of design, development, and implementation utilizing current analytics technologies and architecture, as well as data warehouse concepts and methodologies
- Relational database concepts and design experience
- Ability to learn and absorb new concepts (in business and in systems) quickly and apply new knowledge
What's in it for you?
- 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 a work-life balance
- Leaders who support your development through coaching and learning opportunities
- Work in a dynamic, collaborative, progressive and highly performing team
- Ability to make a difference and lasting impact
- Enjoy a comfortable work environment with the option to dress casually
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 May 16 , 2025 . 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
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**Note:** Applications will be accepted until 11:59 PM on the day prior to the application deadline date above I **nclusion and Equal Opportunity Employment**
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