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Data Analyst Co-op

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.
  • 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, or statistics.
  • Advanced programming skills in Python and R, especially with packages like Pandas, Numpy, Plotly, Matplotlib, Seaborn, etc.
  • Experience with data transformation and manipulation.
  • Experience with diagnostic data analytics.
  • Experience or understanding of relational databases (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.
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.