Analytics Engineer

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 performa nce, 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.