Data Analyst

Location : Hybrid – Quebec City or Remote (Canada)

Can-Ex Technologies is transforming how sewer and underground infrastructure inspections are conducted. Through a combination of cutting‑edge hardware and powerful SaaS, we help municipalities, engineering firms, and contractors collect and manage high‑quality inspection data—faster and smarter than ever before.

We’re building our Data Team at the moment, and we’re looking for a founding Data Analyst to help us interpret, visualize, and activate a rapidly growing dataset. This is a unique opportunity to partner directly with a Data Engineer and architect the data experience of our future.

As a Data Analyst, you’ll transform complex, high‑volume data into actionable insights. You’ll work with unlabeled video data, evolving ML outputs, and user behavior signals. Your job? Help teams across the company—and our customers—get value from the data flowing through our platform.

Whether it’s building in‑app analytics, strategic dashboards, or surfacing new ML training opportunities, you’ll be key to turning raw data into a strategic asset.

You’ll work in tight collaboration with our Data Engineer (your counterpart), our product & engineering teams, and the GM. Together, you’ll turn raw data into a strategic asset across our platform.

This role is ideal for someone who’s analytical, curious, and passionate about turning data into clarity that drives real decisions.

What You’ll Do

• 📊 Design and deliver business and customer dashboards (internal + external)
• 🧠 Help structure and label data to support ML, analytics, and decision‑making
• 🔄 Collaborate with a Data Engineer to define a powerful, usable data foundation
• 🧮 Write robust queries using BigQuery and support downstream use cases
• 🔎 Interpret data from inspection tools, hardware sensors, and user behavior
• 📣 Translate complex datasets into clear narratives for technical and non‑technical audiences
• 🎯 Influence strategic product and business decisions with insights you surface

Who You Are

Requirements

Familiarity with computer vision datasets and applications

Why Join Us?

Ready to Apply?

If you’re a driven and curious professional who wants to make an impact while growing fast, we want to hear from you!

🚀 Let’s build something great together! 🚀

#J-18808-Ljbffr