Senior Data Analyst

Role overview

Responsibilities

• Govern, maintain, and continuously improve the knowledge base.
• Prepare and optimize knowledge assets for intelligent search engines and AI solutions.
• Use SQL to analyze and validate information quality, accuracy, consistency, and reliability.
• Collaborate across business, data, AI, and technology teams to improve knowledge quality and resolve issues.
• Oversee content review, archiving, and maintenance throughout its lifecycle.
• Support knowledge management practices and measure knowledge repository performance.

Prerequisites

• A bachelor's degree in a relevant field or equivalent education and experience is required.
• Experience in knowledge management, records management, data, analytics, or information architecture is required.
• Strong SQL proficiency and the ability to analyze, validate, and interpret data are required.
• The candidate must be able to diagnose and resolve data, information system, or AI solution issues.
• Understanding of taxonomy, metadata, data quality, and information governance is required.
• Knowledge of generative AI technologies and large language models is required.
• Financial services, banking products, or brokerage operations knowledge is an asset.
• English and French are listed as required languages.

Work arrangement

• Attendance is hybrid.

Benefits

• Benefits include health and wellness programs, group insurance, a pension plan, employee share ownership, and employee and family assistance.
• Other offerings include preferential banking services, community initiatives, telemedicine, and a virtual sleep clinic.