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Data Model Jobs in New Brunswick (NOW HIRING)

J.D. Irving

Data Modeler

Saint John, NB

Document and update data model specifications, ensuring accessibility and transparency. * Apply data modeling best practices, including normalization, denormalization, and data partitioning.

J.D. Irving

Data Modeler

Saint John, NB · On-site

Document and update data model specifications, ensuring accessibility and transparency. * Apply data modeling best practices, including normalization, denormalization, and data partitioning.

Cooke Aquaculture Inc.

Data Engineer

Saint John, NB · On-site

... models. The Role As a Data Engineer, you will design, develop, and optimize data pipelines and transformations that support analytics, operational reporting, and enterprise data integration. You will ...

Cooke Aquaculture Inc.

Data Engineer

Saint John, NB · On-site

... models. The Role As a Data Engineer, you will design, develop, and optimize data pipelines and transformations that support analytics, operational reporting, and enterprise data integration. You will ...

J.D. Irving

Data Analyst

Dieppe, NB · On-site

This role offers the opportunity to work directly with leaders across the organization, solving real business challenges through analytics, predictive modeling, and data visualization. Why Join Us?

J.D. Irving

Data Analyst

Dieppe, NB

This role offers the opportunity to work directly with leaders across the organization, solving real business challenges through analytics, predictive modeling, and data visualization. Why Join Us?

Cadence Design Systems Inc.

Design, develop, and optimise EDA database infrastructure software, including data-model enhancements, API definitions, and class implementations. * Investigate and resolve customer-reported defects ...

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Data Model information

What is the difference between Data Model vs Data Analyst?

AspectData ModelData Analyst
Primary RoleDesigns and structures data for databases and systemsAnalyzes data to generate insights and reports
Skills & CertificationsDatabase design, data modeling, SQL, certifications like CDMPData analysis, statistics, Excel, SQL, certifications like CAP or Microsoft Data Analyst
Work EnvironmentWorks with database systems, data warehouses, IT teamsWorks with business teams, reports, dashboards, data visualization tools
Industry UsageUsed in database design, data architecture, software developmentUsed in business intelligence, reporting, data-driven decision making

While Data Modelers focus on designing the structure of data systems, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills, but their primary objectives differ: one builds the foundation, the other analyzes the data.

What do data models do?

Data models are used by data modelers to define how data is structured, stored, and related within a database or information system. They help ensure data consistency, facilitate efficient data retrieval, and support the design of databases using tools like ER diagrams or UML. Data modelers often work with database management systems and require knowledge of data normalization and modeling techniques.
Data Model jobs near you
Infographic showing various Data Model job openings in New Brunswick as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Modeler

Saint John, NB

J.D. Irving
Retail • 10K+ employees
Learn more about J.D. Irvingexternal

Full-time

Posted 27 days ago

Job description

As our Data Modeler, you'll be instrumental in creating and maintaining models that empower our business operations and analytics. Your data models will ensure accurate, reliable, and scalable data access, enabling self-service reporting and trusted metrics across various business units. 

This key position will collaborate closely with stakeholders, translating their data needs into effective business models and help support driving data-driven decision-making throughout the organization.

  • Bachelor's degree in Computer Science, Information Systems, or a related field, with a focus on data modeling and database design.
  • 3-5 years of experience in data modeling, with a proven track record of creating effective and scalable data models.
  • Proficiency in data modeling techniques and tools, including ERD, UML, and advanced data modeling software.
  • Strong understanding of relational databases and SQL, with the ability to write complex queries and optimize database performance.
  • Experience with big data technologies and distributed systems is highly advantageous.
  • Excellent analytical and problem-solving skills, with a track record of delivering innovative data solutions.
  • Exceptional communication skills, enabling you to explain complex data concepts to both technical and non-technical audiences.
  • Attention to detail and a commitment to data accuracy and quality are essential.
  • Experience with data governance frameworks and practices is desirable, ensuring data integrity and compliance.
  • A willingness to learn and adapt to new technologies and industry trends, staying at the forefront of data modeling advancements.
  • Design and govern enterprise semantic data models, ensuring a unified and reliable data foundation for analytics.
  • Create scalable data models to facilitate self-service reporting and trusted metrics across business units.
  • Collaborate with stakeholders to understand their data requirements and translate them into efficient data models.
  • Maintain data integrity and consistency across diverse data sources and systems.
  • Document and update data model specifications, ensuring accessibility and transparency.
  • Apply data modeling best practices, including normalization, denormalization, and data partitioning.
  • Optimize data storage and retrieval processes in collaboration with data engineers and analysts.
  • Conduct regular data model reviews, identifying areas for improvement and enhancement.
  • Stay abreast of industry trends and emerging technologies in data modeling and analytics.
  • Provide support and guidance to other teams on data-related queries, ensuring a smooth and efficient data environment.

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