Analytics Lead, Full Stack (Strategic Revenue Insights)
Affirm · Remote US
About this role
## Analytics Lead, Full Stack (Strategic Revenue Insights) ### About Affirm Affirm is reinventing credit to make it more honest and friendly—giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest. ### About the Revenue Team The Revenue team drives Affirm’s top-line growth through strategic partnerships, pricing, and go-to-market execution. They acquire, retain, and expand merchant relationships across eCommerce, in-store, telesales, and the Affirm app—leading onboarding, relationship management, and performance optimization to help partners succeed. ### About the Role Join Affirm’s Revenue Analytics team. This team is responsible for comprehensive analyses, reporting, and data solutions that support and grow Revenue segments. The ideal candidate will have strong analytical/problem-solving skills, the ability to craft clear narratives for internal and external stakeholders, and experience building tools/solutions that scale data usage with Revenue. Strong interpersonal skills are essential to work proactively across the organization and with clients to drive recommendations forward. --- ## What You’ll Do ### Optimize decisions and execution with analyses (and communicate impact) - Partner with Client Success and Marketplace Teams as the data SME for respective Revenue segments and merchants (point-of-sale and Marketplace) - Create business cases, insights, and dashboards; run experiments to engage Affirm’s external merchant base and demonstrate value and product performance - Build internal analyses to assess Revenue performance, drive recommendations, and inform critical decisions ### Scale impact - Standardize common use cases - Provide analytics infrastructure - Automate analyses and dashboards to scale decisions and execution within Revenue and with top external merchants ### Own comprehensive analytics solutions - Define KPIs, performance benchmarks, and methodologies - Identify and work with unstructured and structured data sources (in-house and third-party) to enable solutions and actionable insights - Provide project and analytics guidance to a cross-functional team as the analytics point of contact - Propose, monitor, and contextualize experiment design/execution to optimize GTM efforts, quantify Affirm’s value to prospective merchants, and upsell enhanced offers to existing merchants --- ## What We Look For - 5+ years in an analytically-driven role (consulting, finance, analytics, etc.) - Strong working knowledge of SQL and data visualization tools (e.g., Sigma, Looker, Tableau) - Understanding or demonstrated aptitude to learn Python (plus) - Demonstrated aptitude leveraging AI tools for analytics (e.g., Cursor, Claude Code) - Exceptional problem-solving skills, including operating in ambiguity and building analytical frameworks - Ability to create structure in ambiguous situations (align stakeholders, choose the most impactful data) - Strong communication skills and ability to craft compelling narratives for business and technical stakeholders - Strong organization/execution; able to operate independently and drive multiple initiatives - Track record building cross-functional relationships with internal and external partners - Self-starter who can drive projects end-to-end (strategy through implementation) - Passion for disrupting retail and lending - Enough “laziness” to find faster ways to do least-favorite tasks - Humility and team-first mindset ### Nice to Have - K
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