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Added 1 hour ago
Digital Architect
Government of Alberta
AB
A university degree in a related field (e.g., Computer Science, Information Technology, Computer Engineering), supplemented by four (4) years of progressively responsible, related…
Added 1 hour ago
Application & Integration Technical Analyst
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Saint John, NB
Full-time
Under the direction of the designated IT Manager, the Application and Integration Technical Analyst is a technical lead responsible for system architecture, data strategy, and integration…
Added 2 hours ago
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Added 2 hours ago
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Added 2 hours ago
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eDiscovery Case Manager
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Community college diploma in Information Technology or a related field.
Added 2 hours ago
FPA Analyst
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Added 3 hours ago
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Added 3 hours ago
Analytics Engineer
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Mississauga, ON
Full-time
…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…
Added 3 hours ago
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Metro Supply Chain

Analytics Engineer

Mississauga, ON, Canada

Job type: Full-time
Apply by: Oct 31, 2026
Experience: 3- 5 years of experience
Posting language: English
Posted: Oct 1, 2026

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Original job description

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 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)

Data Modeling & Semantic Layer Development

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

Advanced Analytics & Insight Generation

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

BI Enablement & Visualization

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

Cross‑Functional Collaboration

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

Experience And Education

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

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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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

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

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