Data Analytics Engineer preparing enterprise data to be AI-ready at Canadian Bank Note Company. Designing semantic layers and enabling advanced analytics, self-service BI, and AI-powered decision-making.
Responsibilities
Partner with business stakeholders to translate domain knowledge into structured analytical and semantic representations.
Design, develop, and maintain enterprise semantic models.
Collaborate with data engineers to shape silver and gold datasets.
Build AI-ready data products by enriching datasets with business definitions and hierarchies.
Develop and optimize Power BI semantic models.
Create and manage standardized KPIs and calculations using DAX.
Document business logic, data definitions, and metric context.
Implement data governance controls.
Publish trusted semantic models and datasets.
Monitor and optimize model performance.
Requirements
Legally eligible to work in Canada.
Fluent in English (speak, read, write).
Able to obtain (in a timely manner) and maintain Government of Canada Secret (Level II) security clearance.
Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
Understanding of semantic modeling concepts including metrics, hierarchies, and dimensional modeling.
Understanding of data governance principles and secure data access patterns.
8+ years of relevant professional experience.
3+ years of professional experience in analytics, business intelligence, or data modeling roles.
3+ years of hands-on experience with Power BI semantic modeling, DAX, and dataset design.
3+ years of experience working with SQL-based analytical datasets.
Ability to translate business concepts into structured analytical and semantic representations.
Benefits
health, medical and life insurance benefits
defined contribution pension plan with company matching
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