JOIN OUR TEAM 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 (Current 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.

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📌 Analytics Engineer (NEW GRAD) (Ontario)
🏢 Metro Supply Chain
📍 Ontario