.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 hard-working, driven data analyst to join our Revenue Analytics team. Revenue Analytics serves as the analytics backbone of the Revenue organization at Affirm. We follow a data-driven approach that combines elements of both strategy and analytics to drive decisions around both GTM strategy and revenue management with the goal of simultaneously scaling and strengthening Affirm's commercial offerings. What You'll Do Develop use cases for data sources, dashboards, metrics and automation processes for sales/client success, revenue leadership, and other revenue analysts. Identify growth opportunities and drive strategy for existing portfolio of merchant accounts through data analysis and insights. Collaborate with Business Systems and Data Engineering teams to define data infrastructure specific to Revenue, maintain a solid understanding of our evolving data warehouse, and build data models in dbt and Looker. Work with enablement teams to develop data products (self-serve dashboards, BI tools, reports), scale usage, and shape training content to improve adoption. Develop processes and foundations to scale the impact of analytics within Revenue. What We Look For 3+ years work experience in a business intelligence or a data analyst role. Strong working knowledge of SQL, Python, data modeling, and data visualization. A passion for finding insights in data and motivating change based on those insights. Hands-on experience with BI tools (Looker/Tableau), Databricks, and cloud data warehouse/lake technologies (Snowflake, s3). Experience with dbt preferred. Familiarity with Salesforce and supporting revenue generating areas of the business. Ability to identify user needs and translate them into robust, scalable data products. Ability to start with an ambiguous problem, deconstruct it into tangible steps, and work towards an impactful solution. Ability to communicate findings and recommendations clearly to both technical and non-technical audiences. Experience working with multi-functional teams and collaborating with business engineering partners in data management and analytics initiatives. Compensation & Benefits We offer a competitive package, with some highlights listed below. However, the given figures are not guaranteed compensation ranges; rather, they are unbinding, approximate indications of what the salary may be for your awareness. The actual salary may be less than the lower range or greater than the upper range, depending on skills and experience. No employee is guaranteed salary at the amount of the lower range. Flexible Spending Wallets for tech, food and lifestyle. Generous time off policies. Away Days - wellness days to take off work and recharge. Learning & Development programs. Parental leave. Robust health benefits