Data Analyst (Intermediate/Senior), Credit

KOHO

6d•CA$85,000 - CA$130,000•Remote

About The Position

At KOHO, our Data Analysts work within a centralized data team, partnering closely with Product Managers, designers, and engineers to drive product decisions. You'll be joining a collaborative team that invests in mentorship, peer review, and shared learning. In this role, you'll be the product analyst for our Credit domain. You'll build the pipelines, dashboards, and analyses that shape how we grow our credit products and help users build credit responsibly. You'll partner closely with the Credit Risk team, product managers, and data science partners.

Requirements

Around 3 years of experience in a data or analytics role
Strong SQL and hands-on dbt experience — these are the foundation of this role
Familiar with Git workflows: branching, clear commits, constructive PR reviews
A clear communicator who adapts the message to the audience
Curious about the business behind the data, and interested in how your work connects to product decisions
You integrate AI tools into your daily workflow

Nice To Haves

Credit, lending, or consumer finance data experience
A/B testing and experimentation frameworks
Fintech or consumer product background
Redshift and dbt certifications

Responsibilities

Serve as the analytics partner for credit products: build the pipelines and dashboards that power decision making across the full product lifecycle, from feature launch and rollout monitoring through mature product analytics
Design and own dbt models with a focus on performance, scalability, and the nuances of credit data
Build dashboards that go beyond reporting to answer critical product and portfolio questions
Support experimentation across the credit portfolio
Partner with stakeholders to shape requirements, prioritize the highest impact work, and connect analysis back to business outcomes
Proactively identify trends and opportunities, thinking beyond the immediate request
Contribute to team culture: code reviews, peer feedback, and evolving our shared best practices