Product Analytics Engineer

About KOHO

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

We are 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. We prioritize work‑life integration over balance, with 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.

Analytics Engineer, Product – build and scale robust product reporting pipelines that power complex product launches across Payments, Credit, and Subscriptions.

• 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 pipelines alongside you.
• Build product reporting infrastructure: create reliable, performant marts and models that power product dashboards and self‑service analytics.
• Design scalable data models: apply modeling frameworks (one big table, entity tables, Kimball) tailored to product analytics use cases.
• Optimize and monitor: maintain pipeline health, optimize query performance, and implement data quality monitoring.
• Enable the team: document solutions, establish best practices, and help upskill Product Analysts on pipeline development.
• Integrate cross‑functional data: work across domain boundaries to unify product data into cohesive reporting structures.

• 3+ years of experience in analytics engineering, data engineering, or similar data roles.
• Advanced DBT expertise: comfortable with various materializations, and familiar with snapshots, variables, macros, and Jinja.
• Strong SQL skills with a focus on query optimization and performance.
• Experience with modern data stack: DBT Core and/or DBT Cloud, Git. A plus if experience with Redshift.
• Collaborative mindset: you thrive working alongside analysts, PMs, and engineers to translate business requirements into technical solutions.
• Strong communicator: you adapt communication to different audiences and connect technical work to product outcomes.
• Proactive problem‑solver: you identify opportunities for improvement and take initiative without waiting to be asked.
• AI‑curious: experience or strong interest in leveraging AI tools for development workflows.

• Experience in fintech or consumer product environments.
• Background working embedded within product or analytics teams.
• Experience with Payments, Credit, or Subscription product domains.

KOHO est à la recherche d’un(e) ingénieur(e) analytique, Produit, pour concevoir et faire évoluer des pipelines de reporting produit robustes qui soutiennent des lancements de produits complexes dans nos domaines Paiements, Crédit et Abonnements. Intégré(e) à l’équipe d’analytique produit, vous collaborerez étroitement avec les analystes produit, les gestionnaires de produit et les équipes d’ingénierie sur des projets s’échelonnant sur plusieurs mois, afin de vous assurer que notre infrastructure de données suit le rythme de nos initiatives produit ambitieuses.

Ce rôle fait le pont entre l’excellence en ingénierie analytique et les besoins en analytique produit, et vous serez responsable de l’ossature technique qui permet à nos équipes produit de prendre des décisions basées sur les données à grande échelle.

• Piloter des pipelines produit complexes : concevoir et développer des pipelines de données évolutifs soutenant des lancements de produits multi‑domaines en Paiements, Crédit et Abonnements, de la définition des besoins jusqu’à la livraison.
• Collaborer de…