Data Analyst (Intermediate/Senior) - Credit

About the Role

This opportunity is for a Data Analyst (Intermediate to Senior level) specializing in Credit, located in Canada. The role enables leveraging data and analytics to influence the development and enhancement of consumer credit products, driving more informed and effective product decisions. You will collaborate closely with diverse teams such as product management, engineering, design, risk, and data science to interpret complex datasets and translate them into strategic insights. Your contributions will help evolve credit offerings responsibly while fostering sustainable financial growth for end users. You will take ownership of major analytics projects, including constructing robust data models, developing insightful dashboards, supporting experimental strategies, and uncovering new growth possibilities.

This position functions within a remote-friendly, autonomous work culture that emphasizes mentorship and continuous skill advancement.

Key Responsibilities

• Lead analytics initiatives throughout the credit product lifecycle — from new feature launches and monitoring rollouts to assessing long-term product performance.
• Create, maintain, and optimize dbt data models, prioritizing scalability, efficiency, and alignment with credit-related data needs.
• Develop dashboards and reporting systems that offer actionable insights into product effectiveness and portfolio status.
• Conduct data analyses that address critical business and product queries beyond routine reporting.
• Support experimentation frameworks and contribute to data-informed decision-making across credit portfolios.
• Work with stakeholders to define requirements, select priority projects, and tie analytical efforts directly to business objectives.
• Continuously discover trends, opportunities, and improvement areas through proactive data exploration and analysis.
• Enhance team processes by offering code reviews, peer feedback, documentation, and refining analytic standards.

Qualifications and Experience

• About three years of experience in data analytics or related functions.
• Proficient in SQL and practical experience working with dbt are essential.
• Demonstrated ability to design data models, set up analytical workflows, and build reporting systems.
• Experience working within Git version control environments, including strategies for branches, comprehensive commits, and constructive pull request management.
• Strong communication skills to clearly present complex analytical findings tailored to varied audiences.
• Keen interest in understanding business context behind data and influencing product choices through analytics.
• Experience incorporating AI-powered tools into daily workflows to boost productivity and efficiency.
• Background with credit, lending, consumer finance, or fintech data is highly valued.
• Knowledge of A/B testing, experimentation methods, Redshift, or possessing dbt certifications is advantageous.

Compensation and Benefits

• A competitive salary range between 85,000 and 130,000 Canadian Dollars annually.
• A transparent salary setup based on market benchmarks, technical expertise, professional background, and equality internally.
• Fully remote role providing flexibility, autonomy, and work-life integration through adaptable schedules and asynchronous work patterns.
• The chance to impact meaningful financial products designed to enhance users' financial well-being.
• Engaged team environment centered on mentorship, peer learning, and joint success.
• Access to ongoing professional development and growth opportunities.
• An inclusive, supportive culture that welcomes diverse viewpoints.

Additional Information

This role is for a partner company responsible for managing the recruitment process including application review, interviews, and assessments. The hiring decisions are made internally by the partner.

Applications are evaluated fairly by an AI-driven process that identifies top-qualified candidates based on required skills and experience, with final selection conducted by humans.

Data privacy is respected throughout the application process, and candidates may exercise their rights about personal data processing under applicable data protection laws.