Job Title

About KOHO Were 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. Were 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, were 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. Were building for impact, not bureaucracy. If you thrive in environments that value clarity, ownership, and bold thinking, youll 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 Youll 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 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 Who You Are 3+ years of experience in analytics engineering, data engineering, or similar data roles Advanced DBT expertise: Comfortable with various materializations, such as incremental, table, view, etc. 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/orDBT 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 Nice to Have Experience in fintech or consumer product environments Background working embedded within product or analytics teams Experience with Payments, Credit, or Subscription product domains Description de poste en franais KOHO est la recherche dun(e) ingnieur(e) analytique, Produit, pour concevoir et faire voluer des pipelines de reporting produit robustes qui soutiennent des lancements de produits complexes dans nos domaines Paiements, Crdit et Abonnements. Intgr(e) lquipe danalytique produit, vous collaborerez troitement avec les analystes produit, les gestionnaires de produit et les quipes dingnierie sur des projets schelonnant sur plusieurs mois, afin de vous assurer que notre infrastructure de donnes suit le rythme de nos initiatives produit ambitieuses. Il sagit dun nouveau rle qui fait le pont entre lexcellence en ingnierie analytique et les besoins en analytique produit. Vous serez responsable de lossature technique qui permet nos quipes produit de prendre des dcisions bases sur les donnes, grande chelle. Ce que vous ferez Piloter des pipelines produit complexes : Concevoir et dvelopper des pipelines de donnes volutifs soutenant des lancements de produits multi-domaines en Paiements, Crdit et Abonnements, de la dfinition des besoins jusqu la livraison. Collaborer de faon interfonctionnelle : Travailler en partenariat avec les analystes produit et les gestionnaires de produit pour dfinir les exigences en donnes, tout en codtenant les pipelines avec les analystes. Construire linfrastructure de reporting produit : Crer des marts et des modles fiables et performants qui alimentent les tableaux de bord produit et lanalytique en libre-service. Concevoir des modles de donnes volutifs : Appliquer des cadres de modlisation (one big table, tables dentits, Kimball) adapts aux cas dusage de lanalytique produit. Optimiser et surveiller : Assurer la sant des pipelines, optimiser la performance des requtes et implanter des mcanismes de surveillance de la qualit des donnes. Outiller lquipe : Documenter les solutions, tablir les meilleures pratiques et contribuer faire monter en comptence les analystes produit en dveloppement de pipelines. Intgrer des donnes inter-domaines : Travailler au-del des frontires des domaines pour unifier les donnes produit dans des structures de reporting cohrentes. Profil recherch 3+ ans dexprience en ingnierie analytique, en ingnierie des donnes ou dans des rles similaires axs sur les donnes. Expertise avance en DBT : laise avec les diffrentes matrialisations (incremental, table, view, etc.) et familier(re) avec les snapshots, variables, macros et Jinja. Solides comptences en SQL, avec un accent sur loptimisation et la performance des requtes. Exprience avec une stack de donnes moderne : DBT Core et/ou DBT Cloud, Git; un atout si exprience avec Redshift. Esprit collaboratif : Vous aimez travailler avec des analystes, des PM et des ingnieur(e)s pour traduire les besoins daffaires en solutions techniques. Excellente communication : Capacit dadapter votre message selon laudience et de relier le travail technique aux rsultats produit. Proactif(ive) dans la rsolution de problmes : Vous identifiez des occasions damlioration et prenez des initiatives sans attendre quon vous le demande. Curieux(se) de lIA : Exprience ou fort intrt pour lutilisation doutils dIA afin damliorer les flux de travail de dveloppement. Atouts Exprience en fintech ou dans des environnements de produits grand public. Exprience au sein dquipes produit ou danalytique intgres. Exprience avec des domaines de produits en Paiements, Crdit ou Abonnements. KOHO is for builders. If youre energized by challenge, motivated by mission, and want to be part of a team that punches above its weight - we want to hear from you. The KOHO culture is one of collaboration, creativity, and diverse perspectives. We are committed to building and fostering an inclusive, accessible environment for everyone. If you have any questions, concerns, or requests regarding accessibility needs, please contact and the People and Culture team will be happy to help. AI Disclosure: KOHO uses artificial intelligence (AI) in certain aspects of its recruitment process to screen, assess, or select applicants. For any questions or concerns, please contact us at . Note: this posting is for an existing vacancy that we are seeking to fill. #LI-Remote #J-18808-Ljbffr