Affirm · Toronto
Software EngineeringRemoteposted 5d ago
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any 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. 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.
About the Role
We’re looking for intelligent, driven professionals to join our Revenue Analytics team. This team is responsible for comprehensive analyses, reporting, and data solutions to support and grow our Revenue segments.
The ideal candidate will have strong analytical and problem solving skills, the ability to craft comprehensive narratives for both internal and external stakeholders, and produce tools and solutions to scale data usage with Revenue. In addition to analytical rigor, the ideal candidate has strong interpersonal skills to work proactively within the organization and with clients to drive forward recommendations.
What You’ll Do
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
Scale impact
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
Propose, monitor, and contextualize experiment design and execution to drive optimizations of Affirm’s GTM efforts, empirically quantify the value of Affirm to our prospective merchants, and upsell enhanced offers to existing merchants
What We Look For
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
Self-starter and a track record of successfully driving projects from end to end (from building strategy to implementation)
Passion and drive to disrupt both the retail and lending industry for the better
Enough laziness to find a faster way to do your least favorite tasks
Humility and a team player - you go out of your way to help teammates
Nice to Have
Knowledge of the FinTech or Payments industry
Prior experience performing data analytics for marketplace platforms
Demonstrated aptitude in AI tools for analytics (Cursor, Claude Code, etc.)
Pay Grade - M
Equity Grade - 8
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $185,000 - $245,000
USA base pay range (all other U.S. states) per year: $164,000 - $224,000
#LI-Remote
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
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