Product Analytics Engineer

🇨🇦 Toronto, Ontario
CAD1K - CAD1K Annual
Posted 4 months ago
Expires June 9, 2026

ABOUT KOHO

We’re on a mission to make financial services better for every Canadian. That means no hidden fees, no predatory interest rates - just financial products designed to help our users spend smart, save more, and build real wealth. We’re a performance organization with a strong heart: we care deeply about outcomes, and everything ties back to our mission - to financially empower a generation of Canadians.

At KOHO, we’re not your average 9-5. We believe real impact comes from people who are trusted, empowered, and supported to do their best work - without sacrificing their lives to do it. We prioritize work-life integration, not just work-life balance. That means asynchronous collaboration, flexible hours, and a remote-first setup built around autonomy and high trust.

KOHO is entering its next chapter - leaner, smarter, more AI-integrated. We’re building for impact, not bureaucracy. If you thrive in environments that value clarity, ownership, and bold thinking, you’ll fit right in.

KOHO is looking for an Analytics Engineer, Product to build and scale robust product reporting pipelines that power complex product launches across our Payments, Credit, and Subscriptions domains. Embedded within the Product Analytics org, you'll partner closely with Product Analysts, Product Managers, and Engineering teams on multi-month builds, ensuring our data infrastructure keeps pace with ambitious product initiatives.

This is a new role bridging analytics engineering excellence with product analytics needs. You'll own the technical backbone that enables our product teams to make data-driven decisions at scale.

WHAT YOU'LL DO

- Lead complex product pipeline builds: Design and develop scalable data pipelines supporting cross-domain product launches in Payments, Credit, and Subscriptions, from scoping through delivery

- Collaborate cross-functionally: Partner with Product Analysts and Product Managers to define data requirements, while analysts continue owning pipe...

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