Affirm
Mid
Turn Affirm's developer and analytics workflows into reliable, trusted signals
Affirm's Core Analytics team (within Risk & Analytics) is hiring an Analyst II to own end-to-end analytics workflows — from defining success metrics to building scalable data models — with a specific focus on developer experience and analytics-lifecycle tooling. The role wants 3-5 years in an analytically-driven role (analytics engineering, BI, or data analyst background), strong SQL (Snowflake preferred), familiarity with Git/DBT/Sigma, and the ability to drive cross-functional alignment around metrics quality, not just produce reports.
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What this interview tests
- End-to-end analytics ownership (metrics to data models)
- SQL/Snowflake data modeling
- Analytics tooling & workflow (Git, DBT, Sigma)
- Identifying and quantifying developer/analytics bottlenecks
- Data quality practices (testing, alerting, documentation)
- Cross-functional communication with technical and non-technical stakeholders
Common question themes
Walk through an analytics workflow you owned from metric definition to scalable data model
Describe finding a bottleneck in a developer or analytics workflow and quantifying its impact
How do you ensure analytics/data quality — testing, alerting, and documentation practices
Explain a SQL/dbt data modeling decision you made and why
Tell me about explaining a data or workflow issue to a non-technical stakeholder
How do you decide what to automate versus do manually in your analytics work