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Data Analyst Co-op with Strong Python Coding Skills

2 months ago

Toronto, Ontario, Canada Royal Bank of Canada Full time
Job Summary

We are seeking a highly motivated and detail-oriented Data Analyst Co-op with strong Python coding skills 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
  • Education: 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.
  • Skills: Advanced programming skills in Python and R, especially packages like Pandas, Numpy, Plotly, Matplotlib, Seaborn, etc.
  • Experience: Experienced with data transformation and manipulation, diagnostic data analytics, relational database concepts, and data visualization tools.
  • Soft Skills: Strong problem-solving abilities with a keen attention to details and a passion for data-driven decision-making.
What's in it for you?
  • 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: Network and build lasting relationships with students from diverse backgrounds from across Canada.
  • Participate in Fun Events and Gamification Challenges: Participate in fun events and gamification challenges to help build your career toolkit while enjoying a work-life balance.