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Affirm

Analytics Lead, Full Stack – Strategic Revenue Insights

Affirm

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.

Posted 9/2/2026full-timeRemote • 🇨🇦 CanadaSenior💰 CA$145,000 - CA$205,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis and visualization, with a strong focus on creating insights and dashboards to drive revenue performance. Proficient in SQL and experienced in leveraging AI tools for analytics, while effectively communicating complex narratives to diverse stakeholders.

Highest-signal resume keywords
5+ Years Experience In AnalyticsStrong SQL KnowledgeData Visualization Tools (Sigma, Looker, Tableau)AI Tools For Analytics (Cursor, Claude Code)Cross-Functional Relationship Building

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisRevenue Performance AssessmentKPI DefinitionExperiment DesignData Automation
Soft Skills
Problem-SolvingEffective CommunicationOrganizationExecutionRelationship Building
Tools & Technologies
SQLSigmaLookerTableauPython
Industry Keywords
FinTechPaymentsMarketplace PlatformsRetail IndustryAnalytics Infrastructure

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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