Analytics Lead (Full Stack)
- Ottawa, Canada
- Lead/Staff
- 5+ years
- Bachelor's degree
- Posted
Skills
Required
- SQL
- Python
Preferred
- end-to-end analytics
Join Affirm's Growth Analytics International team as an Analytics Lead (Full Stack). In this role, you will establish the operational analytics framework for new international markets, drive business growth and profitability, and mentor junior analysts. You will work cross-functionally with various teams and have a significant impact on the company's expansion and success.
Establish and evolve the operational analytics framework for new international markets, ensuring scalable measurement, reporting, and decision-making capabilities.
Responsibilities
- Take ownership of the end-to-end analytics process: define success metrics, generate insights and hypotheses, track performance, and create intuitive dashboards and reports.
- Translate analytical findings into clear and compelling narratives and business cases for leadership to inform decision-making.
Requirements
- The ideal candidate will possess strong analytical and problem-solving abilities, a collaborative mindset, an eagerness to learn, and the patience to tackle complex challenges
- This role requires someone who can combine analytical rigor with business acumen to influence decisions and drive measurable outcomes
- Strong interpersonal and communication skills, with the ability to influence both technical and non-technical audiences
- Demonstrated ability to balance growth objectives with profitability and develop data-driven growth strategies
- 5+ years of proven success in a cross-functional analytical role
- Strong understanding of the consumer lending and credit industry, including lending economics, portfolio performance, and credit metrics. Experience supporting international lending markets, particularly Europe and/or APAC, is highly desirable
Practical and theoretical knowledge of A/B testing
- Demonstrated curiosity and a growth mindset, with hands-on experience using AI-powered tools such as Cursor, Claude, or similar assistants to accelerate analysis, automate workflows, enhance problem-solving, and advocate for AI adoption across analytical workflows
- Experience with SQL and performing statistical analysis using Python
- Willingness to go out of your way to help teammates, with humility and a team-first mindset
- Experience simultaneously balancing multiple workstreams and prioritizing an analytics roadmap
- Bachelor's or Master's degree in a quantitatively rigorous subject area such as statistics, mathematics, finance, or economics
- Comfortable partnering across multiple cross-functional teams, particularly Product, Risk, Commercial, Finance, and Operations
- Passion to redefine the lending and financial industry for the better
- Ability to think creatively and critically while thriving in a fast-paced, dynamic, and often ambiguous work environment
Preferred
- Previous experience mentoring and guiding junior analysts
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