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Data Science and Analytics Professional

2 months ago

Calgary, Alberta, Canada RBC Full time
Job Summary

This is an exciting opportunity to work as a Data Student at RBC for 12 months. By applying to this job posting, you will be considered for multiple roles available across RBC Technology & Operations.

Key Responsibilities
  • Analyze, design, deliver, and implement analytic development projects, utilizing 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.
Requirements
  • 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 Qualifications
  • 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, time-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 We Offer

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.

  • 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 toolkit 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.