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 curious, driven professional to join our Revenue Analytics team. This builds and owns the data products, reporting infrastructure, semantic foundations, and analytical systems that power Affirm’s Revenue organization.
As a Analyst at Revenue Analytics, you’ll build scalable data products that power day-to-day decision-making - owning end-to-end work across data modeling, metric definitions, dashboards, automation, and enablement.
You’ll also help strengthen our semantic layer and data governance, laying the foundation for reliable AI. The idóneo candidate combines strong technical and analytical skills with the ability to turn ambiguous business questions into durable, well-tested data infrastructure.
What you'll do
Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts
Build and maintain critical reporting data models that power external merchant reporting
Build the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitions
Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products
Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows)
Develop processes, governance, and foundations to scale the impact of analytics within Revenue.
What we look for
3+ years of work experience in an analytics engineering or business intelligence role
Strong working knowledge of SQL, dbt, Python, data modeling, and data visualization
Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake)
Understanding of the data foundations required for reliable AI, inclu
📌 Analyst II, Full Stack (España)
🏢 Affirm
📍 España