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About the Role

As an Analytics Engineer, you will join a centralized team supporting departments like Operations, Marketing, Finance, and Risk. You will design data pipelines, build scalable models, and deliver insights using a modern data stack to drive smarter business decisions.

Responsibilities

• Design, build, and maintain scalable analytics data models and transformations in dbt Cloud and Snowflake.
• Develop reliable, reusable datasets and business-ready data products for reporting and decision-making.
• Improve the structure, quality, and maintainability of the analytics engineering ecosystem.
• Define and evolve the semantic layer, core metrics, and business logic.
• Lead efforts to document, standardize, and centralize key business definitions in a data dictionary.
• Partner with cross-functional stakeholders to translate business objectives into scalable data solutions.
• Build and maintain dashboards and reports to drive decision-making.
• Identify trends, patterns, and opportunities through analysis.
• Troubleshoot and optimize SQL queries and pipelines.
• Contribute to AI-powered analytics and data enrichment initiatives.

Requirements

• Bachelor’s degree in Computer Science, Finance, Economics, Analytics, Business, Math, Statistics, or a related field.
• 5+ years of hands-on analytical experience in a professional setting.
• Advanced SQL skills with experience querying and transforming large datasets in Snowflake or similar warehouses.
• Strong data visualization and storytelling skills using tools like Domo, Tableau, or Power BI.
• Experience with data transformation and modeling tools like dbt.
• Excellent problem-solving and critical-thinking skills.
• Strong communication skills for collaborating with technical and non-technical stakeholders.
• Proven ability to manage multiple priorities under tight timelines.
• Experience using generative AI tools.
• Ability to integrate or adopt AI tools in day-to-day tasks.

Skills

• SQL
• Snowflake
• dbt Cloud
• Domo
• Tableau
• Power BI
• Data Modeling
• Data Visualization
• Generative AI

Experience Level

• 5+ years

Education Level

• Bachelor’s degree

Salary/Compensations

• $65,000 – $85,000

Benefits

• Growth and internal promotion opportunities
• Competitive salary
• Health benefits
• Comprehensive vacation package
• Group health and dental benefits
• Group RRSP program
• Support for new parents
• Diverse and inclusive workplace

About the Company

• Fintech company facilitating access to credit for underserved consumers.
• Utilizes an AI-driven platform to evaluate creditworthiness.
• Recognized as one of North America’s fastest-growing companies and a Best Place to Work.

Equal Opportunity

• Propel welcomes applications from all groups, including Indigenous peoples, women, visible minorities, persons with disabilities, and gender and sexually diverse communities.
• Provides accommodations throughout the recruitment process upon request.