2026 Summer - GRM, Data Analyst Developer Intern (8 Months)

Job Description

Job Description What is the opportunity? Are you interested in the opportunity to work as a Data Analyst at RBC? By applying to this job posting, you will be considered for Data Analyst Role available at Operational Risk shared Services, where we leverage data-driven insights to solve complex business challenges. Our organization values creativity, collaboration, and continuous learning, and we are looking for a motivated university student to contribute to our data analysis efforts. What will you do? 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) , and/or Tableau 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 What do you need to succeed? Must-have 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, Matplotllib, 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 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 ex

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