RBC is a leading bank in Canada, offering a range of financial services. They are seeking Data Students to work in various roles within their Technology & Operations division, focusing on analytics and data solutions.
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
Qualification
Required
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
Preferred
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
Benefits
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
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
