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Data Analyst Co-op: Unlocking Business Insights with Python

2 months ago

Toronto, Ontario, Canada Royal Bank of Canada Full time
About the Role

We are seeking a highly motivated and detail-oriented Data Analyst Co-op to join our team for an 8-month term. As a Data Analyst, you will work closely with our data team to support data-driven decision-making across the organization.

Key Responsibilities
  • Data Collection and Preparation: Assist in gathering, cleaning, profiling, and transforming data from various sources to ensure data integrity and readiness for analysis.
  • Data Analysis and Visualization: Utilize Python and data analysis libraries (Pandas, Numpy, and many more) to analyze large datasets and generate meaningful insights. Familiar with some Python visualization packages like plotly, matplotlib.
  • Automation and Scripting: Develop and maintain Python scripts to automate data processing tasks, streamline workflows, and improve efficiency.
  • Data Quality: Support data quality checks and validation processes to ensure the accuracy and reliability of data used in analysis.
  • Collaboration: Work closely with cross-functional teams to understand business requirements and deliver data-driven solutions and align with department goals.
Requirements
  • Currently enrolled at a Canadian post-secondary institution with a focus on computer science, computer engineering, mathematics, statistics. Preferably in third year or master's degree study.
  • Advanced Programming skills in Python and R, especially Packages like, Pandas, Numpy, Plotly, Matplotlib, Seaborn, etc.
  • Experienced with Data Transformation and Manipulation
  • Experienced with diagnostic data analytics
  • Experience or understanding of Relational Database (and SQL), Hadoop ecosystem, and data visualization tools.
  • Ability to perform complex data analysis.
  • Strong problem-solving abilities with a keen attention to details and a passion for data-driven decision making.
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?

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. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • Mentorship and Development: Work closely with experienced professionals who will provide guidance and support to help you grow in your role
  • Real-World Experience: Gain hands-on experience in data analysis, data transformation, while working on impactful projects
  • Dynamic work environment: Be part of a fast-paced and innovative team that values creativity and collaboration
  • 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
  • Ability to make a difference and lasting impact
  • Enjoy a comfortable work environment with the option to dress casually