Manager Data Analytics Engineer Jobs in Toronto, ON

About Us:

Propel (TSX: PRL) is the fintech company building a new world of financial opportunity by facilitating access to credit for consumers underserved by traditional financial institutions. Through its AI-driven platform, Propel evaluates customers in a more comprehensive way than traditional credit scores can. Our revolutionary fintech platform has already helped consumers access over one million loans and lines of credit and over one billion dollars in credit.

To build a new world of opportunity we bring together the brightest talent to help us build opportunities. We are entrepreneurs and believe in measuring success through results and growing within; talent and hard work never goes unnoticed. At Propel, we are here to change the way employees, customers and shareholders succeed together.

We are a team of passionate entrepreneurs, who foster curiosity and growth in our employees. Our culture is why we have been so successful and why our employees choose Propel to build their careers. It is also why we are one of North America’s fastest growing companies and a Best Place to Work.

Join us as we change the way employees, customers and shareholders succeed together.

About You:

You thrive in a vibrant, entrepreneurial organization where your ideas are valued. You are motivated by goals, a self-starter, and enjoy wearing multiple hats in a fast-growing fintech environment.

As an Analytics Engineer, reporting to the Director, Business Analytics Engineering, you’ll be part of a centralized BAE team that supports all departments including Operations, Marketing, Compliance, Finance, and Risk. You’ll collaborate closely with stakeholders to understand their data needs, design efficient and reliable data pipelines, and deliver dashboards and insights that power smarter decisions. This is not your typical reporting role — you’ll be helping shape how Propel leverages modern data stack tools like Snowflake, dbt Cloud, Glean, and Domo to build scalable, intelligent solutions including next-generation Snowflake AI-driven analytics. 

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 that support reporting, analysis, experimentation, and operational decision-making. 

• Improve the structure, quality, and maintainability of Propel’s analytics engineering ecosystem, with a focus on consistency, performance, and trust. 

• Help define and evolve Propel’s semantic layer, core metrics, and business logic so teams are aligned on how performance is measured. 

• Lead efforts to document, standardize, and centralize key business definitions within a governed data dictionary. 

• Partner with cross-functional stakeholders (Product, Operations, Marketing, Finance, Risk, Compliance) to understand business objectives and translate them into scalable data solutions. 

• Build and maintain dashboards and reports that clearly answer key business questions and drive decision-making. 

• Identify trends, patterns, and opportunities through creative analysis and critical thinking. 

• Troubleshoot and optimize SQL queries and pipelines for efficiency and reliability. 

• Contribute to the development of AI-powered analytics and data enrichment initiatives within Snowflake. 

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 or business setting, ideally within fintech or a fast-paced data-driven organization.
• Advanced SQL skills with proven experience querying and transforming large datasets in Snowflakeor similar data warehouses. 
• Strong data visualization and storytelling skills using tools like Domo, Tableau, or Power BI.
• Experience with data transformation and modeling (e.g., dbt).
• Excellent problem-solving and critical-thinking skills — you don’t just answer questions, you help people ask better ones.
• Strong communication skills — able to collaborate effectively with technical and non-technical stakeholders.
• Proven ability to manage multiple priorities and deliver high-quality work under tight timelines.
• Experience using generative AI tools (e.g., ChatGPT, Claude, Copilot) is an asset
• Ability to integrate or adopt AI tools in day-to-day tasks

Benefits to Joining Propel

• Growth and opportunity – we pride ourselves on promoting from within
• Incredible company culture
• Competitive salary and health benefits
• Comprehensive vacation package
• Group health and dental benefits
• Group RRSP program
• Support for new parents
• Diverse and inclusive workplace

Salary Range

$65,000 – $85,000

Final compensation is determined by market conditions, location, and the candidate’s experience, skills, and education. This role may also be eligible for performance-based incentive programs and total compensation may include variable incentives, such as bonuses and commissions.

This posting is for an existing vacancy within our organization.

Our Culture

Propel brings together the brightest talent to build opportunities. We are entrepreneurs who measure success through results and growth from within; talent and hard work never go unnoticed. Our team fosters curiosity and growth, making Propel one of North America’s fastest-growing companies and a Best Place to Work.

Commitment to Diversity & Inclusion

Propel welcomes and encourages applications from all groups, including Indigenous peoples, women, visible minorities, persons with disabilities, people from gender and sexually diverse communities, and those with intersectional identities. Should you require accommodation throughout any stage of the recruitment and selection process, please specify your requirements when submitting your application and we will work with you to meet your needs.

AI Disclosure

We use AI to assist in reviewing applications and assessing candidates. These tools support our recruitment team, however, all hiring decisions are made by our trained hiring managers and recruitment professionals, not AI.