Analyst II, Full Stack (Core Analytics)
$128,000–$205,000 year
On-site · US
Job Summary
Analyst II, Full Stack (Core Analytics) at Affirm is a data-and-engineering–driven analytics role within the Risk & Analytics team. You will own end-to-end analytics workflows by defining success metrics, generating insights, and building scalable data models. You’ll identify and drive improvements across the developer and analytics lifecycle, build and maintain high-quality analytics foundations (testing, alerting, documentation, code review) to ensure data accuracy and reliability, and help organize key business metrics for cross-team clarity. The role emphasizes collaboration across teams, contributing to shared tooling, reviewing PRs, and advancing knowledge sharing to accelerate delivery. Core skills include SQL (Snowflake), analytics tools (Git, Sigma, DBT, Snowflake), and a quantitative background (statistics/math/finance/economics) with a comfort in fast-paced, ambiguous environments. This is a remote-friendly position with potential occasional office collaboration and a compensation package that includes base pay and equity.
Required Qualifications
- 1-3 years of experience in an analytically-driven role (analytics, consulting, finance, etc.)
- Strong working knowledge of SQL (preferably Snowflake)
- Knowledge of analytics development tools such as Git, Sigma, DBT, Snowflake, Claude Code and Cursor
- Bachelor's or Master's degree in a quantitatively rigorous subject area like statistics, math, finance, economics desired
Desired Qualifications
- Experience in analytics, BI, data analytics, or finance roles
- Strong SQL skills ( Snowflake preferred )
- Experience with analytics development tools (Git, Sigma, DBT, Snowflake)
- Knowledge of A/B testing (plus)
- Strong cross-functional collaboration and communication skills
- Bachelor's or Master's degree in statistics, math, finance, economics or related quantitative field
- Ability to work in a fast-paced, ambiguous environment
- Humility and teamwork oriented
- Interest in redefining lending/fintech analytics and risk
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