2027 Winter - CLAO, Data Analyst Intern (4 months)
RBCAbout the role
Job Description
What is the opportunity? Are you interested in working as a Data Analyst Intern on the Chief Legal and Administrative Officer (CLAO) Shared Services Team in the CLAO Group at the Royal Bank of Canada? RBC’s Chief Legal and Administrative Group (CLAO Group) is a critical function within the organization. This group integrates legal, compliance, enterprise strategy, strategic execution of enterprise initiatives, as well as procurement and supplier management, and corporate real estate. In addition, CLAO oversees enterprise controls and data governance to ensure the organization operates ethically, efficiently, and in alignment with regulatory requirements. Our team is looking for a Data Analyst Intern who is constantly thinking outside the box, ready to dive deep into the smallest details, is passionate about new technologies, data analysis and visualizations! What will you do? Analyze, design, deliver, and implement analytic development projects, with the use of RBC’s analytics tools Assists and participates in data validation and cleaning to ensure the quality and integrity of data. Analyzes and extracts key data and information to meet the organization's information system needs and requirements. Ensure that project activities are accomplished within approved time frames, scope, and budgets Confirm that projects adhere to development standards and guidelines What do you need to succeed? Must-have
You are an ideal candidate if you have
Currently enrolled at a Canadian post-secondary institution with a focus on computer science, mathematics, statistics, commerce, or business analysis Leadership acumen and a passion to apply it in a dynamic business environment Excellent interpersonal and highly developed communication skills (verbal and written) Creative and analytical thinker who is self-driven and capable of working in a fast paced environment Strong MS Office skills – Word, Outlook, Excel and PowerPoint Experience or understanding of data visualiz
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