Closed listing
Analytics Engineer
- Mississauga, ON, Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Closing date
- Experience
- 3- 5 years of experience
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
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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 2026 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 acts as a full‑stack data professional, owning the end‑to‑end flow of data - from ingestion and transformation to modeling, analysis, and insight delivery. This role blends the strengths of a Data Analyst and a Data Engineer, ensuring the business has clean, reliable, analytics‑ready data and the ability to unlock insights quickly and independently.
The Analytics Engineer creates scalable data models, supports BI teams, and works directly with business stakeholders to turn raw data into decisions. (existing role)
Responsibilities
Full‑Stack Data Work (End‑to‑End Ownership): Own the full data lifecycle from raw ingestion to final insight:
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 2026 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 acts as a full‑stack data professional, owning the end‑to‑end flow of data - from ingestion and transformation to modeling, analysis, and insight delivery. This role blends the strengths of a Data Analyst and a Data Engineer, ensuring the business has clean, reliable, analytics‑ready data and the ability to unlock insights quickly and independently.
The Analytics Engineer creates scalable data models, supports BI teams, and works directly with business stakeholders to turn raw data into decisions. (existing role)
Responsibilities
Full‑Stack Data Work (End‑to‑End Ownership): Own the full data lifecycle from raw ingestion to final insight:
- Extract, clean, transform, and validate datasets across systems
- Build robust, reusable data pipelines (ELT/ETL) with modern tools
- Create analytics‑ready datasets for BI and business teams
- Support cloud data infrastructure (Azure, Snowflake)
- Build and maintain scalable data models used by reporting and analytics teams
- Define business‑friendly metrics, dimensions, and standardized logic
- Document data lineage and transformation logic for transparency and governance
- Analyze data to identify trends, diagnose performance issues, and support decision‑making
- Use Python/SQL to automate recurring analytical tasks
- Support predictive or prescriptive analytics when needed (e.g., forecasting, trend detection)
- Proactively spot data quality gaps and recommend improvements
- Build, maintain, and optimize Power BI dashboards and reports
- Translate complex data into clear visuals and business‑ready narratives
- Act as a partner to business stakeholders across Supply Chain, Operations, and Finance
- Work with Data Engineers to ensure reliability, performance, and scalability
- Work with Analysts and business teams to define requirements and close knowledge gaps
- Communicate findings to technical and non‑technical audiences
- Participate in agile ceremonies, sprint reviews, and data governance activities
- 3- 5 years of experience
- University/College degree in Data Science, Analytics, Software Engineering, Computer Science, Math, or related field
- Certifications in Power BI, SQL, Azure, Snowflake, or Python are an asset
- Experience in SQL for data extraction and transformation
- Familiarity with Python or R for scripting, automation, and exploratory analysis
- Experience with BI tools (Power BI, Tableau, Looker)
- Understanding of ETL/ELT concepts, cloud data platforms, and data modeling
- Strong communication skills and an analytical mindset
- 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
More about this job
Responsibilities
Own the end-to-end data lifecycle, building and maintaining reliable pipelines, scalable data models, and analytics-ready datasets. Analyze data, develop Power BI dashboards, and collaborate with technical teams and business stakeholders to deliver actionable insights.
Requirements
Requires 3–5 years of experience and a university or college degree in data science, analytics, software engineering, computer science, mathematics, or a related field. Candidates should have SQL experience, familiarity with Python or R and BI tools, and an understanding of ETL/ELT, cloud data platforms, and data modeling; relevant certifications are an asset.
Skills
- SQL
- Python
- Data Ingestion
- ETL/ELT
- Data Pipelines
- Data Modeling
- Data Transformation
- Data Quality
- Power BI
- Data Visualization
- Cloud Data Platforms
- Azure
- Snowflake
- Analytics
- Stakeholder Communication
- Agile
Benefits
- Medical, Dental, and Vision Coverage
- Life and Disability Insurance
- Wellness Programs
- Retirement Savings Program With Company Match
- Company Team Wear Allowance
- Employee Appreciation Day
- Company-Sponsored Social Events
- Community Volunteering
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Logistics
- Transportation
Keywords
- Analytics Engineering
- Data Engineering
- Data Analysis
- SQL
- Python
- R
- Power BI
- Tableau
- Looker
- Azure
- Snowflake
- ETL
- ELT
- Data Pipelines
- Data Ingestion
- Data Transformation
- Data Modeling
- Semantic Layer
- Data Governance
- Data Lineage
- Data Quality
- Business Intelligence
- Predictive Analytics
- Prescriptive Analytics
- Forecasting
- Data Visualization
- Cloud Data Platforms
- Agile
- Supply Chain
- Stakeholder Collaboration