The opportunity
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.
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 they're looking for
- + 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, including: semantic layers, metadata, evals, metric definitions, documentation, and data quality
