2025 Summer - GRM, Data Analyst Intern (8 Months)

RBC

Dec 23, 2024

Applications are closed

Internship
Full-time
Placement Program
Data
IT & Cybersecurity
Toronto

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.
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, time-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

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), 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

FAQs

What is the duration of the internship?

The internship is for an 8-month term, starting in May 2025 and ending in December 2025.

What qualifications are required to apply for the Data Analyst intern position?

Candidates must be currently enrolled at a Canadian post-secondary institution with a focus on computer science, computer engineering, mathematics, or statistics, preferably in their third year or pursuing a master’s degree.

What programming skills are necessary for this internship?

Candidates should have advanced programming skills in Python and R, with proficiency in data analysis libraries such as Pandas, Numpy, Plotly, Matplotlib, and Seaborn.

Are there any specific tools or technologies that the Data Analyst intern will use?

Yes, the Data Analyst intern will utilize Python, data analysis libraries, and visualization tools like Tableau. Familiarity with SQL and the Hadoop ecosystem is also beneficial.

What type of projects will the intern be working on?

The intern will assist in data collection, preparation, analysis, visualization, and automation tasks, while working on impactful projects that support data-driven decision-making across the organization.

Is there any mentorship offered during the internship?

Yes, interns will work closely with experienced professionals who will provide guidance and support to help them grow in their roles.

What is the application deadline for this internship position?

The formal application deadline is January 19, 2025.

Can international students apply for this internship?

The job posting does not specify eligibility for international students; candidates must meet the requirement of being currently enrolled at a Canadian post-secondary institution.

Will the intern have the opportunity to work in a collaborative environment?

Yes, the intern will work closely with cross-functional teams to understand business requirements and deliver data-driven solutions.

Are there opportunities for professional growth during the internship?

Yes, interns will gain hands-on experience, participate in mentorship programs, and have the chance to network with other students, all of which can contribute to their professional growth.

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Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 88,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/community-social-impact.