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indeed

Senior Employee Data & AI Automation Analyst

National Bank of Canada
Montréal, CAN
Full-time
Senior
Hybrid
Discovered 5 days ago
Data analyticsBusiness intelligenceReportingApplication developmentProcess transformationAutomation

Full Job Posting

Role overview

Senior analyst on National Bank of Canada’s Employee Experience and Performance team, supporting improved access to and use of HR data.

The role combines secure, scalable automation with data analysis to generate insights and value.

The analyst joins an HR Analytics and Systems team of approximately 30 colleagues and reports to the Senior Director, Analytics.

Responsibilities

  • Advance data-sharing and self-service practices as a citizen developer.
  • Create, test, and deploy automated solutions that simplify employee work and optimize analytical processes.
  • Use technology and AI responsibly to generate business value.
  • Design, develop, and enhance reports, dashboards, analyses, and analytical solutions.
  • Help stakeholders define needs, interpret data, and identify appropriate solutions.

Prerequisites

  • Relevant education or training and 3–5 years of experience in data analytics, business intelligence, and reporting.
  • Experience in a human resources-related field is preferred.
  • Knowledge of SAP SuccessFactors Reporting Center or a comparable tool is preferred.
  • Demonstrated experience in application development, process transformation, and designing high-impact automated solutions.
  • Proficiency in Excel, Power BI, and Power Platform, plus experience with Microsoft 365 Copilot or another integrated generative AI tool.
  • Ability to manage recurring activities and transformation initiatives simultaneously.
  • English and French are listed as additional required languages.

Workplace and schedule

  • The role has a hybrid work model and flexible schedule.

Benefits and development

  • Benefits include health and wellness options, group insurance, a pension plan, employee share ownership, assistance programs, preferential banking services, community initiatives, and telemedicine.
  • Development resources include the Data Academy, language training, the Harvard Learning Center, coaching, and mentoring.

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