Staff Analytics Analyst, Full Stack (Revenue) @Affirm

Overview

Affirm is seeking an experienced analytics engineer to join its Revenue Analytics team, responsible for data products and reporting systems that support the Revenue organization.

Key Responsibilities

• Lead high-impact data product initiatives for Revenue, overseeing all phases from problem definition to rollout and adoption.
• Enhance AI initiatives within the Revenue data ecosystem by identifying high-value use cases and integrating AI into analytics workflows.
• Design and build robust data products that support revenue operations, reporting, and analyst self-service.
• Set the technical direction for Revenue’s data layer, including models, metrics, and governance.
• Identify opportunities to improve Revenue Analytics through data architecture, tooling, and governance.
• Provide mentorship and technical leadership to analysts and partners across the organization.

Requirements

• 7+ years of experience in analytics engineering, business intelligence, or a related role.
• Expertise in SQL, dbt, data modeling, and modern analytics engineering practices.
• Proficient with BI tools (Sigma, Looker, Tableau) and cloud data warehouses (Snowflake, Databricks).
• Understanding of AI foundations and experience applying AI tools in analytics workflows.
• Ability to independently lead complex projects and influence both technical and non-technical stakeholders.
• Familiarity with Salesforce and experience supporting revenue or sales operations teams.

Benefits

• 100% health coverage for employees and their dependents.
• Monthly stipends for tech setup and health/wellness options.
• Flexible time off and generous holiday calendars.
• Employee stock purchase plan (ESPP) allowing stock purchase at a discount.

Location

Remote within the United States.

How to Apply

Interested candidates can apply directly through the company's application portal.