Analytics Engineer

KOHO

6d•CA$110,000 - CA$135,000•Remote

About The Position

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. 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. 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.

Requirements

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.
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
Experience with Redshift.

Responsibilities

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