Analytics Engineer

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.

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

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

Nice to have

Experience in fintech or banking environments; Experience with highly-regulated domains; Experience with Redshift; Foundations in AI-assisted development are a plus

Benefits

Flexible hours; Asynchronous collaboration; Remote-first setup; Work-life integration; Autonomy; High trust