Analytics Lead, Full Stack (Strategic Revenue Insights)

Job description

About this role

The Revenue team drives Affirm’s top-line growth through strategic partnerships, pricing, and go-to-market execution. We acquire, retain, and expand merchant relationships across eCommerce, in-store, telesales, and the Affirm app. The team leads onboarding, relationship management, and performance optimization to help partners succeed. We deliver value-added solutions, drive adoption, and support long-term business growth by connecting merchants and consumers through Affirm’s products. We’re looking for intelligent, driven professionals to join our Revenue Analytics team.

Responsibilities

• Optimize decisions and execution with analyses, and communicate to internal and external partners
• Be a strategic partner with our Client Success and Marketplace Teams as the data SME for respective Revenue segments and merchants for their point-of-sale and Marketplace business
• Create business cases, insights, and dashboards as well as handle experiments to engage Affirm’s external merchant base; demonstrating Affirm’s value proposition and product performance
• Create internal analyses to assess Revenue performance, drive recommendations, and inform critical decisions; using insights to serve segment strategy and execution
• Standardize common use cases, provide the analytics infrastructure, and automate analyses and dashboards to scale decisions and execution within Revenue and with top external merchants
• Own comprehensive analytics solution
• Define KPIs, performance benchmarks, and methodologies, including identifying and working with unstructured and structured data sources (in-house and third-party) to enable solutions and generate actionable insights
• Provide project and analytics guidance to a cross-functional team, acting as the analytics point of contact

Qualifications and requirements

• 5+ years of experience in an analytically-driven role (consulting, finance, analytics, etc.)
• Strong working knowledge of SQL, data visualization tools (e.g. Sigma, Looker, Tableau). Understanding or a demonstrated aptitude to learn Python is a plus
• Demonstrated aptitude in leveraging AI tools for analytics (Cursor, Claude Code, etc.)
• Exceptional problem-solving skills, including ability to operate in ambiguity and establishing analytical frameworks to apply to business problems
• Ability to create structure in ambiguous situations, such as aligning stakeholders, or choosing the most impactful data to drive decisions
• Ability to communicate effectively, and craft compelling narratives to influence business and technical stakeholders across all levels of the organization, internally and externally
• Strong organization and execution skills, including ability to operate independently and drive multiple strategic initiatives simultaneously to drive business goals
• Prior track record in building successful cross-functional relationships with partners internally and externally