Analytics Engineer

About this role

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.

ABOUT THE ROLE

KOHO is looking for an Analytics Engineer to build and scale the reporting pipelines and data models that power decision-making across the company. Working alongside fellow Analytics Engineers and Data Analysts, you'll partner with teams across the business - from Finance and Operations to Product, Tech, and beyond - to turn business needs into reliable, well-modelled data.

You'll own the technical backbone that makes data trustworthy and accessible, ensuring our data infrastructure keeps pace with an ambitious and fast-moving organization.

WHAT YOU'LL DO

- Build and scale data pipelines: Design and develop scalable data pipelines, from scoping through delivery

- Collaborate cross-functionally: Partner with stakeholders across the business to define data requirements and translate them into technical solutions

- Build reliable reporting infrastructure: Create performant, well-tested data models that power internal reporting, self-serve analytics, and decision-making

- Design scalable data models: Apply modelling frameworks (one big table, entity tables, event streams, Kimball) tailored to the use case

- 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 fellow Analytics Engineers and Analysts

- Integrate cross-functional data: Work across domain boundaries to unify data into cohesive, reusable reporting structures

WHO YOU ARE

- 3+ years of experience in analytics engineering, data engineering, or similar data roles

- DBT expertise: Comfortable with complex DBT projects and various materializations (incremental, table, view, etc.), snapshots, variables, macros, and Jinja

- SQL skills: Query optimization and performance tuning

- Modern data stack: DBT Core and/or DBT Cloud, Git. A plus if experience with Redshift.

- Collaborative: You work well alongside analysts, PMs, and engineers to translate business requirements into technical solutions

- Clear communicator: You adapt communication to different audiences and connect technical work to business outcomes

- Takes initiative: You identify opportunities for improvement and act without waiting to be asked

- AI-curious: Experience or interest in leveraging AI tools for development workflows. Foundations in AI-assisted development are a plus.

NICE TO HAVES

- Experience in fintech or banking environments

- Experience with highly-regulated domains

Don't meet every requirement listed above? Apply anyway if you meet most of them. We'd rather hear from you than have you rule yourself out.

The budgeted salary range for this role is $110,000 - $135,000 CAD / year.

At KOHO, we are dedicated to providing pay transparency to all candidates. Compensation at KOHO is determined through various factors including but not limited to: comparable salary market data within Canada, technical skill assessment, a holistic view of previous work history, and internal pay equity with other KOHO team members.

DESCRIPTION DE POSTE EN FRANÇAIS

À PROPOS DU POSTE

KOHO est à la recherche d’un·e ingénieur·e en analytique de données pour concevoir et faire évoluer les pipelines de production de rapports et les modèles de données qui soutiennent la prise de décision dans l’ensemble de l’entreprise. En collaboration avec les autres membres de l’équipe d’ingénierie analytique et les analystes de données, vous travaillerez avec différentes équipes - des Finances et des Opérations jusqu’aux équipes Produit, Technologie et autres - afin de transformer les besoins d’affaires en données fiables et bien modélisées.

Vous serez responsable des fondations techniques qui rendent les données fiables et accessibles, tout en veillant à ce que notre infrastructure de données évolue au rythme d’une organisation ambitieuse et en pleine croissance.

CE QUE VOUS FEREZ

- Concevoir et faire évoluer des pipelines de données : Concevoir et développer des pipelines de données évolutifs, de la définition de la portée jusqu’à la livraison.

- Collaborer avec différentes équipes : Travailler avec les parties prenantes de l’ensemble de l’entreprise afin de définir les exigences en matière de données et de les traduire en solutions techniques.

- Créer une infrastructure de production de rapports fiable : Concevoir des modèles de données performants et rigoureusement testés qui soutiennent la production de rapports internes, l’analytique libre-service et la prise de décision.

- Concevoir des modèles de données évolutifs : Appliquer des cadres de modélisation adaptés aux différents cas d’utilisation, notamment les tables uniques consolidées (« one big table »), les tables d’entités, les flux d’événements et la méthode Kimball.

- Optimiser et surveiller : Maintenir la fiabilité des pipelines, optimiser la performance des requêtes et mettre en place des mécanismes de suivi

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