Analyst II, Full Stack (Revenue Analytics)
Core
Build scalable data products, reporting infrastructure, and semantic layers to power day-to-day decision-making and enable reliable AI for Affirm's Revenue organization.
Role type
Senior Analytics Engineer (Revenue Analytics)
Builds
Data models, dashboards, metrics, automation processes, and semantic/metadata layers for the Revenue field team and external merchants.
Domain
Fintech / Revenue Analytics / Data Engineering
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
SQL, dbt, Python, data modeling, data visualization, semantic layer design, data governance, AI integration in analytics workflows
Preferred skills
Salesforce, commercial business support, ambiguous problem deconstruction
Technologies
dbt, Python, SQL, Sigma, Looker, Tableau, Databricks, Snowflake, GitHub
Responsibilities
Develop dbt data models, dashboards, metrics, and automation processes; build critical reporting data models for external merchant reporting; build semantic and metadata layers for AI systems; partner with stakeholders to translate requirements into data products; contribute to version control, code review, and documentation best practices; develop processes to scale analytics impact.
Seniority
Mid-Senior, hands-on IC
