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Analyst I, Full Stack - Job Opportunity at Affirm

Toronto, ON
Full-time
Entry-level
Posted: June 7, 2025
Remote
CAD 90,000-130,000 per year

Benefits

Comprehensive health coverage with 100% subsidized medical, dental, and vision for employees and dependents - positioning as a top-tier employer benefit that eliminates financial barriers to healthcare access
Flexible Spending Wallets providing generous stipends for technology, food, lifestyle needs, and family forming expenses - offering personalized financial support that adapts to individual life circumstances
Competitive vacation and holiday schedules designed for rest and recharge - recognizing work-life balance as essential for sustained performance
Employee Stock Purchase Plan (ESPP) enabling discounted share purchases - providing direct financial stake in company success and wealth-building opportunities
Remote-first work environment with flexibility options - supporting modern workforce preferences while maintaining operational effectiveness
Monthly stipends for health, wellness and tech spending - proactive investment in employee wellbeing and productivity tools

Key Responsibilities

Drive end-to-end analytics ownership from strategy definition to scalable solution implementation, directly impacting organizational decision-making through comprehensive performance metrics and actionable insights that influence product and business direction
Establish analytics community leadership through knowledge sharing initiatives, documentation standards, and cross-team collaboration that elevates organizational analytical capabilities and drives data-driven culture transformation
Champion operational excellence by identifying and implementing improved workflows and analytics solutions that enhance efficiency, reduce manual processes, and enable scalable analytical operations across the organization
Lead business metrics standardization efforts to improve discoverability, alignment, and clarity across teams, ensuring consistent measurement frameworks that support strategic decision-making and organizational transparency
Maintain code quality standards through peer review processes, ensuring adherence to best practices and guidelines that support maintainable, reliable analytical infrastructure and collaborative development culture

Requirements

Education

Bachelor's or Master's degree in a quantitatively rigorous subject area like statistics, math, finance, economics desired

Experience

1-3 years of experience in an analytically-driven role (analytics, consulting, finance, etc.); Preferably previous experience as an Analytics Engineer, Business Intelligence, or Data Analyst role that supported other analysts

Required Skills

Strong working knowledge of SQL (preferably Snowflake) Knowledge of analytics development tools such as Git, Looker, Sigma, DBT, and Statsig is a plus Practical and theoretical knowledge of A/B testing is a plus Strong interpersonal skills and ability to work cross-functionally and influence both technical and non-technical audiences Ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment Humility and team player - you go out of your way to help teammates Enough laziness to find a faster way to do your least favorite tasks
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Sauge AI Market Intelligence

Industry Trends

The fintech industry is experiencing unprecedented growth in alternative lending and Buy Now Pay Later (BNPL) services, with market size expected to reach $24 billion by 2026, driving massive demand for analytics professionals who can navigate complex financial data and consumer behavior patterns in real-time decision-making environments. Data-driven experimentation and A/B testing have become critical competitive advantages in financial services, with companies investing heavily in analytics infrastructure to optimize user acquisition, retention, and product development cycles in an increasingly saturated market. The shift toward embedded finance and API-first financial products is creating new analytical challenges around cross-platform data integration, requiring analytics professionals with full-stack capabilities to bridge traditional business intelligence with modern data engineering practices.

Salary Evaluation

The CAD 90,000-130,000 range is competitive for Toronto's entry-level analytics market, aligning with current fintech premium of 15-25% above traditional industries, with potential for rapid progression given Affirm's growth trajectory and equity compensation component.

Role Significance

Likely part of a 8-12 person Growth Analytics team with direct collaboration across Product, Marketing, Operations, and Foundations teams, requiring strong cross-functional communication and project management capabilities.
Entry-level position with significant growth potential, positioned as a foundational role within a strategic analytics organization that directly influences product development, marketing effectiveness, and operational efficiency across multiple business units.

Key Projects

Consumer behavior analysis and segmentation for credit risk assessment and product personalization Marketing campaign effectiveness measurement and attribution modeling across multiple channels and touchpoints Product feature impact analysis through controlled experimentation and statistical modeling Operational efficiency optimization through data pipeline development and automated reporting solutions

Success Factors

Developing deep understanding of consumer finance mechanics and regulatory requirements while building technical proficiency in modern analytics stack including cloud data warehouses, version control, and business intelligence platforms Establishing credibility through consistent delivery of actionable insights that drive measurable business outcomes, particularly in areas of user acquisition cost reduction, conversion rate optimization, and risk assessment accuracy Building strong relationships across technical and business stakeholders by translating complex analytical findings into clear strategic recommendations that influence executive decision-making and resource allocation

Market Demand

High demand driven by fintech expansion, regulatory compliance requirements, and the critical need for real-time financial analytics capabilities in consumer lending markets.

Important Skills

Critical Skills

SQL proficiency is fundamental for data extraction and analysis in complex financial databases, with Snowflake expertise particularly valuable given its adoption in modern data architectures and cloud-native analytics environments Cross-functional communication skills are essential for translating analytical insights into business strategy, particularly when working with non-technical stakeholders on sensitive financial decisions and regulatory compliance requirements Statistical thinking and experimental design capabilities are crucial for conducting reliable A/B tests and measuring causal impact in financial products where small improvements can generate significant revenue impact

Beneficial Skills

Modern analytics engineering tools like DBT and Git version control represent the future of collaborative analytics development, enabling more sophisticated and maintainable analytical workflows Business intelligence platforms like Looker and Sigma provide self-service analytics capabilities that democratize data access and reduce bottlenecks in decision-making processes Domain expertise in consumer finance, credit risk, and regulatory compliance would accelerate career development and increase strategic value within the organization

Unique Aspects

Full-stack analytics approach combining traditional business intelligence with modern data engineering practices, providing comprehensive skill development across the entire analytics value chain
Direct impact on consumer financial wellness through transparent lending practices, offering meaningful work that addresses predatory lending practices in consumer finance
Opportunity to work with real-time financial data at scale, developing expertise in high-stakes analytical environments where insights directly influence lending decisions and risk management

Career Growth

Typical progression to senior analyst level within 2-3 years given fintech industry growth rates and Affirm's expansion trajectory, with potential for management track or technical specialization based on performance and interests.

Potential Next Roles

Senior Data Analyst or Analytics Manager within 2-3 years, leading larger analytical initiatives and mentoring junior team members Specialized roles in Product Analytics, Marketing Analytics, or Risk Analytics based on interests and organizational needs Data Science or Machine Learning Engineer positions leveraging statistical modeling expertise and business domain knowledge

Company Overview

Affirm

Affirm has established itself as a leading player in the Buy Now Pay Later space, competing directly with Klarna, Afterpay, and traditional credit providers through transparent fee structures and merchant partnerships with major retailers including Peloton, Walmart, and Shopify.

Strong market position as a publicly-traded fintech company with significant venture backing and enterprise client base, demonstrating stability and growth potential in the evolving consumer credit landscape.
Expanding Canadian operations represent strategic international growth initiative, offering opportunities to shape regional market entry strategies and adapt analytics frameworks for different regulatory and consumer environments.
Remote-first culture emphasizing transparency, collaboration, and data-driven decision making, with strong emphasis on employee development and cross-functional partnership in a fast-paced fintech environment.
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