Data Modeler: Shape Scalable Analytics & Trusted Metrics

J.D. Irving, Limited; New Brunswick; On-site; CAD 70,000 - 110,000; Full time

Job summary

J.D. Irving, Limited is seeking a Data Modeler to design and maintain enterprise data models that power analytics across business units. You will collaborate with stakeholders to translate data needs into scalable models, ensure data quality, and contribute to data governance initiatives.

This role focuses on performance, normalization, and providing self-service reporting capabilities across the organization.

Qualifications

• Bachelor's degree in CS/IS with focus on data modeling.
• 3–5 years in data modeling; scalable data models.
• Proficiency with ERD, UML and modeling tools.
• Strong SQL and relational database optimization skills.
• Big data technologies and distributed systems are advantageous.
• Excellent communication and analytical problem-solving.

Responsibilities

• Design and govern enterprise semantic data models for analytics.
• Create scalable data models to support self-service reporting.
• Collaborate with stakeholders to translate data needs into models.
• Maintain data integrity across diverse sources and systems.
• Document data model specifications for accessibility and transparency.
• Apply data modeling best practices, including normalization and partitioning.
• Optimize storage and retrieval in collaboration with data engineers.
• Review data models regularly and identify enhancements.
• Stay current with industry trends in data modeling.
• Provide guidance on data-related queries across teams.

Skills

Analytical thinking

Problem solving

Communication skills

Attention to detail

Willingness to learn

Data governance understanding

Education

Bachelor's degree in Computer Science / Information Systems

Tools

ERD

UML

Advanced data modeling software

Job description

J.D. Irving, Limited is seeking a Data Modeler to design and maintain enterprise data models that power analytics across business units. You will collaborate with stakeholders to translate data needs into scalable models, ensure data quality, and contribute to data governance initiatives.

This role focuses on performance, normalization, and providing self-service reporting capabilities across the organization.