Analyst II, Full Stack (Core Analytics)

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. We’re looking for a driven, analytically-minded professional to join the Core Analytics team within the Risk & Analytics organization! Our team improves the developer experience across Affirm by building scalable data infrastructure, streamlining workflows, and fostering a culture of learning and documentation. This role sits at the intersection of data and engineering, while staying focused on turning developer workflows and system reliability into clear, actionable signals that accelerate delivery. The Risk & Analytics team makes crucial decisions that direct Affirm’s business strategy. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools and analytical frameworks. We take ownership of the entire analytical lifecycle, from initial question to final business decision, ensuring Affirm grows efficiently and intelligently. The ideal candidate will have strong technical and problem-solving skills, an eagerness to collaborate with different teams, curiosity to learn more every day, and patience to work through difficult problems. What you will do - Own end-to-end analytics workflows: define success metrics, generate insights and hypotheses, and build scalable data models - Identify and drive improvements across the developer and analytics lifecycle: uncover bottlenecks, quantify their impact, then partner with teams to drive alignment and deliver measurable impact. - Build and maintain high-quality analytics foundations: establish best practices for testing, alerting, documentation, and code review to ensure data is accurate, reliable, and trusted. - Support efforts to identify and organize key business metrics, helping improve discoverability, alignment, and clarity across teams. - Continuously seek out implementing improved operational workflows and more effective analytics solutions. - Elevate the analytics community at Affirm: contribute to shared tooling, reviewing colleagues pull requests, drive knowledge sharing, and increase cross-team collaboration. What we look for - Passion to redefine the lending and financial industry for the better - 3-5 years of experience in an analytically-driven role (analytics, consulting, finance, etc.); Preferably previous experience as an Analytics Engineer, Business Intelligence, or Data Analyst roles - Strong working knowledge of SQL (preferably Snowflake) - Knowledge of analytics development tools such as Git, Sigma, DBT, Snowflake, Claude Code and Cursor - Practical and theoretical knowledge of A/B testing is a plus - Strong interpersonal skills and ability to work cross-functionally and influence both technical and non-technical audiences - Ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment - Bachelor's or Master's degree in a quantitatively rigorous subject area like statistics, math, finance, economics desired - Enough laziness to find a faster way to do your least favorite tasks - Humility and team player - you go out of your way to help teammates Base Pay Grade - K Equity Grade - 6 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: $145,000 - $205,000 USA base pay range (all other U.S. states) per year: $128,000 - $188,000 #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: - Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents - Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses - Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge - ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It

3-5 years of experience in an analytically-driven role (analytics, consulting, finance, etc.); preferably previous experience as an Analytics Engineer, Business Intelligence, or Data Analyst roles. Strong working knowledge of SQL (preferably Snowflake). Knowledge of analytics development tools such as Git, Sigma, DBT, Snowflake, Claude Code and Cursor. Practical and theoretical knowledge of A/B testing is a plus. Bachelor's or Master's degree in a quantitatively rigorous subject area like statistics, math, finance, economics desired.

Own end-to-end analytics workflows: define success metrics, generate insights and hypotheses, and build scalable data models. Identify and drive improvements across the developer and analytics lifecycle: uncover bottlenecks, quantify their impact, then partner with teams to drive alignment and deliver measurable impact. Build and maintain high-quality analytics foundations: establish best practices for testing, alerting, documentation, and code review to ensure data is accurate, reliable, and trusted. Support efforts to identify and organize key business metrics, helping improve discoverability, alignment, and clarity across teams. Continuously seek out implementing improved operational workflows and more effective analytics solutions. Elevate the analytics community at Affirm: contribute to shared tooling, reviewing colleagues pull requests, drive knowledge sharing, and increase cross-team collaboration.