Revenue analytics lead building dashboards, experiments, and data solutions for Affirm’s buy-now-pay-later platform. Partnering with merchants and internal teams to optimize growth decisions.
Responsibilities
Partner with Client Success and Marketplace Teams as the data subject-matter expert for Revenue segments and merchants
Create business cases, insights, dashboards, and experiments for Affirm’s external merchant base
Create internal analyses to assess Revenue performance, drive recommendations, and inform segment strategy and execution
Standardize common use cases and provide analytics infrastructure
Automate analyses and dashboards to scale decision-making within Revenue and with external merchants
Define KPIs, performance benchmarks, and methodologies
Identify and work with structured and unstructured in-house and third-party data sources
Provide project and analytics guidance to cross-functional teams as the analytics point of contact
Propose, monitor, and contextualize experiment design and execution to optimize go-to-market efforts, quantify Affirm’s value to prospective merchants, and support upselling
Requirements
5+ years of experience in an analytically-driven role (consulting, finance, analytics, etc.)
Strong working knowledge of SQL
Experience with data visualization tools (e.g. Sigma, Looker, Tableau)
Understanding or demonstrated aptitude to learn Python is a plus
Demonstrated aptitude in leveraging AI tools for analytics (Cursor, Claude Code, etc.)
Exceptional problem-solving skills and ability to operate in ambiguity
Ability to create structure in ambiguous situations and choose impactful data to drive decisions
Ability to communicate effectively and craft compelling narratives for business and technical stakeholders
Strong organization and execution skills; ability to operate independently and drive multiple strategic initiatives simultaneously
Track record of building successful cross-functional relationships internally and externally
Track record of driving projects end to end, from strategy to implementation
Passion for disrupting the retail and lending industry
Knowledge of FinTech or Payments industry is nice to have
Prior data analytics experience for marketplace platforms is nice to have
Benefits
Monthly stipends for health, wellness and tech spending
100% subsidized medical coverage, dental and vision for you and your dependents
Flexible Spending Wallets with stipends for Technology, Food, various Lifestyle needs, and family forming expenses
Competitive vacation and holiday schedules
Employee stock purchase plan enabling employees to buy shares of Affirm at a discount
Reasonable accommodations during the hiring process
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About the job Title: Data Analytical Specialist/Scientist - Senior Duration: till Dec 2026 with likely extension Location: Toronto Domain: Government Services S