Analyst II, Full Stack

### Company Overview 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. ### Role Overview The Operations Analytics team uses data to shape servicing strategy across contact channels, customer segmentation, capacity planning, forecasting, and repayment operations. We are looking for an intelligent, driven professional to join our team as an Analyst II, Full Stack. ### Responsibilities - **Scope Planning**: Own planning and staffing for UK and new-geography launches and special teams. Develop and maintain the guardrail metrics. - **Foundations**: Build working familiarity with the underlying data, including demand signals, agent rosters, and agent activity. - **Infrastructure Forecasts**: Own demand forecasts for checkouts and app opens in CA and UK and new geographies. - **Insights**: Report on forecast health for UK, CA, and other geos. Advise Customer Operations real-time management on agent productivity. - **Model Building**: Build and maintain forecasting models using time series, regression, and machine learning to support contact forecasting and budgeting. - **Stakeholder Collaboration**: Partner with stakeholders to frame planning and forecasting problems and support high-quality decisions. - **Productivity Improvements**: Surface productivity and efficiency improvements using budget and financial performance data. ### Qualifications - Bachelor's, Master's, or PhD in a quantitative field (e.g., statistics, industrial engineering, operations research) and 5+ years solving forecasting, planning, or related quantitative problems. - Strong proficiency in SQL and Python or R, and hands-on experience with a modern cloud-native data platform (e.g., Databricks, Snowflake, BigQuery, or equivalent). - Hands-on experience using AI/LLM tooling across the analytics workflow. ### What We Look For - Ability to operate independently in ambiguous environments. - Strong architectural decision-making and stakeholder alignment skills. - A passion for embedding AI/ML in core decisions.