Analytics Engineer

Role Overview

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.

What You Will Do

The Analytics Engineer creates scalable data models, supports BI teams, and works directly with business stakeholders to turn raw data into decisions.

Why It Might Be a Fit

The Analytics Engineer will work in an environment where safety is our first priority, with opportunities to build a career with a growing company, and enjoy benefits such as medical, dental, and vision coverage, life and disability insurance, and a Retirement Savings Program with a company match.

Requirements

• 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

Benefits

• Medical, dental, and vision coverage
• 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

Tagged as: Data Analysis, Looker, Power BI, Python, Snowflake