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Metro Supply Chain is a strategic supply chain solutions partner to some of the world's fastest growing and most reputable organizations. For 50 years, it has excelled at tailoring integrated, data driven solutions, fueled by advanced systems and technology, that fulfill complex and challenging distribution needs. Managing 22.5 million square feet operating out of more than 190 sites across North America and Europe with a team of 9,000, it is one of Canada's largest privately owned supply chain solutions companies. Metro Supply Chain is a 2025 winner of the Canada's Best Managed Companies program, recognized for its strategic expertise, culture of innovation and commitment to its people and local communities.
Summary
The Analytics Engineer (New Grad) supports Metro Supply Chain's next phase of analytics modernization by combining data engineering, BI delivery, and software-development fundamentals. The role is designed for a recent Software Engineering, Computer Science, Data Science, or Analytics graduate with strong coding skills and the ability to help build governed Fabric AI applications.
Working with Analytics, BI, Data Engineering, and business stakeholders, this role helps create reusable data products, semantic models, automation assets, and early Fabric AI / Copilot-enabled experiences that improve self-service, delivery productivity, and customer-facing analytics.
Responsibilities
Data Preparation & Analytics Engineering
- Extract, clean, transform, and validate datasets across operational, financial, and customer systems
- Build reusable ELT/ETL pipelines and analytics-ready datasets using SQL, Python, and modern cloud data tools
- Support cloud data infrastructure and governed data products across Azure, Snowflake, Microsoft Fabric, and related platforms
- Document data lineage, transformation logic, and data-quality controls to support transparent, reliable analytics
Semantic Models, BI & Reporting
- Build and maintain scalable semantic models, reusable measures, dimensions, and standardized business logic
- Develop, maintain, and optimize Power BI dashboards, reports, and app-ready analytics experiences
- Translate complex data into clear visuals, narratives, and business-ready insights for technical and non-technical audiences
Fabric AI Applications & NLP Analytics
- Support the design and build of Fabric AI application prototypes, including governed natural-language experiences over approved semantic models and data products
- Help develop Fabric Data Agent / Copilot-enabled proof-of-concepts such as order lookup, inventory insight, KPI explanation, and SLA exception narration
- Create reusable components, sample prompts, validation checks, and source-path documentation for AI-assisted analytics experiences
Software Engineering & Automation
- Use Python, SQL, notebooks, APIs, Git/source control, and scripting practices to automate repetitive analytics and engineering tasks
- Assist with testing, release notes, quality gates, and deployment readiness for BI, Fabric, and AI-enabled solutions
- Apply secure-by-design practices, including approved workspaces, access controls, RLS/CLS validation, and human review before production release
Cross-Functional Collaboration
- Work with Data Engineers to ensure reliability, performance, scalability, and maintainability of data assets
- Work with BI Analysts and business teams to clarify requirements, prototype solutions, and close knowledge gaps
- Participate in agile ceremonies, sprint reviews, documentation, and data-governance activities
Experience And Education
- Recent graduate or 1-2 years of related experience through internship, co-op, academic, project, or early-career work
- University/College degree in Software Engineering, Computer Science, Data Science, Analytics, Math, Engineering, or a related field
- Strong coding foundation in Python and SQL; experience with notebooks, APIs, Git/source control, or application development is an asset
- Familiarity with Power BI, semantic models, DAX, Azure, Snowflake, Microsoft Fabric, or cloud data platforms is an asset
- Understanding of ETL/ELT, data modelling, data quality, testing, and documentation practices
- Curiosity about AI-assisted analytics, Copilot/Fabric capabilities, and governed self-service analytics experiences
- Strong communication skills, analytical mindset, attention to detail, and willingness to learn Metro's business processes and data landscape
Why Join Us
- Work in an environment where safety is our first priority
- The opportunity to build a career with a growing company
- Medical, dental, and vision coverage for you and your family
- Life and disability insurance
- Wellness programs to support your family’s well-being
- A Retirement Savings Program with a company match
- Company team wear allowance
- Employee Appreciation Day
- Company sponsored social events
- Community volunteering
We are an equal opportunity employer committed to building and fostering a diverse workplace where people feel included and valued. We encourage applications from all qualified individuals. Should you require accommodation for a special ability or need during the recruitment process, please reach out to a member of our Human Resources Team.