Data Modeler: Shape Data for Insight & Impact

Midland Transport; Dieppe; On-site; CAD 75,000 - 90,000; Full time

Job summary

A leading Canadian transportation company is seeking a Data Modeler to join their Transformation Team in Dieppe. This role focuses on designing and optimizing data models that drive insights across the business, utilizing tools like Power BI. The ideal candidate will have 3+ years of experience and a degree in a related field. The position offers a dynamic work environment with rich benefits including a flexible health plan and 3 weeks' vacation, contributing to the company's commitment to excellence in logistics.

Benefits

Dynamic work environment

Flexible health, drug, dental, and vision plan

3 weeks' paid vacation

Employee & Family Assistance Programs

Onsite fitness center

Growth and progression opportunities

Qualifications

• 3+ years of relevant experience in a data-related role.
• Proven experience in dimensional data modeling and data architecture.
• Experience in the Transportation Industry is considered an asset.

Responsibilities

• Design, develop, and optimize reusable data models across business domains.
• Transform data into actionable insights by leveraging Power BI.
• Coach and mentor analysts and data consumers in the analytics community.

Skills

Data-driven problem solving

SQL querying

Reporting solutions in Power BI

Strong communication skills

Teamwork

Continuous learning

Education

University degree in business/engineering/computer science

Tools

Power BI

Job description

A leading Canadian transportation company is seeking a Data Modeler to join their Transformation Team in Dieppe. This role focuses on designing and optimizing data models that drive insights across the business, utilizing tools like Power BI. The ideal candidate will have 3+ years of experience and a degree in a related field. The position offers a dynamic work environment with rich benefits including a flexible health plan and 3 weeks' vacation, contributing to the company's commitment to excellence in logistics.