Analytics Engineer
Metro Supply ChainSUMMARY
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 Eng
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ineer 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