Data Analyst (Intermediate/Senior) - Credit

Jobgether • Canada

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Data Analyst role supporting the Credit domain, responsible for building data solutions, uncovering insights, and helping teams make informed product decisions. Approximately 3 years of experience in a data analytics or related role. Strong SQL skills and hands-on experience with dbt.

Key Highlights

Build data solutions and uncover insights to support product decisions

Design, develop, and maintain dbt models with a focus on scalability and performance

Analyze data to answer key product and business questions

Key Responsibilities

Own analytics initiatives for credit products, supporting the full product lifecycle

Design, develop, and maintain dbt models with a focus on scalability and performance

Analyze data to answer key product and business questions

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Technical Skills Required

SQL dbt Git

Benefits & Perks

Competitive salary range of $85,000 - $130,000 CAD per year

Fully remote work environment with flexibility and autonomy

Opportunity to contribute to impactful financial products designed to improve users' financial wellbeing

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Nice to Have

Experience integrating AI tools into daily workflows

Experience with credit, lending, consumer finance, or fintech data

Familiarity with A/B testing, experimentation frameworks, Redshift, or dbt certifications

Job Description

This role offers the opportunity to use data and analytics to shape the future of consumer financial products and help drive smarter product decisions.You will work closely with cross-functional teams including product managers, engineers, designers, risk specialists, and data scientists to transform complex data into actionable insights.Your work will directly influence how credit products are developed, optimized, and scaled while supporting responsible financial growth for users.You will own key analytics initiatives, from building reliable data models and dashboards to supporting experimentation and identifying new opportunities.

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