2025 Winter - GRM, Data Analyst Intern (8 Months)
Job Summary
We are seeking a highly motivated, strong passion towards data, 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. This is an excellent opportunity to gain hands-on experience in data analysis, and real-world problem-solving skills.
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.
Position Overview:
We are seeking a highly motivated, strong passion towards data, 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. This is an excellent opportunity to gain hands-on experience in data analysis, and real-world problem-solving skills.
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) 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?
- 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
- 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 tool kit 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
Please note: This posting is for a 8-months Winter 2025 Student placement with a start date of January 2025, and end date of August 2025. In order to be eligible for this 8-months Student position, you must either:
- Be returning back to school after the work term end-date of August 2025 ; or
- If you are not returning back to school (i.e. are graduating in August 2025), you must require the full 8-months work term as a mandatory component to in order to graduate successfully.
Please ensure that you meet these eligibility requirements before applying - candidates who apply but are found to be ineligible are not able to be considered.
We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is September 29, 2025. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.
RBC is committed to supporting flexible work arrangements when and where available. The successful candidate for this role will be required to be located within Ontario for the duration of the work term. Details regarding the specific virtual, hybrid, and in-office arrangements for this Integrated Learning/ Co-op position are to be discussed with the Hiring Manager.
ET25
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