Analyst II, Full Stack (Customer Servicing Analytics)

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. The Operations Analytics team seeks a skilled analyst to drive impactful decisions through data analysis, forecasting, and AI integration in customer servicing strategies.

Responsibilities:

• Build and maintain forecasting models, using time series, regression, and machine learning, to support contact forecasting, headcount and license planning, and budgeting
• Partner with stakeholders to frame planning and forecasting problems, develop supporting metrics and diagnostics, and support high-quality decisions
• Surface productivity and efficiency improvements using budget and financial performance data
• Present recommendations to leadership, drive timely decisions, and communicate clearly with cross-functional partners
• Partner with operational planning and other analytics teams to understand the business context for headcount and workforce scheduling, and get the data needed for accurate forecasts
• Stay current on the business and our changing technical environment

Requirements:

• 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: writing, validating, and iterating on AI-generated SQL and Python, and integrating AI outputs into analyses that stakeholders trust
• Strong experience developing and validating statistical forecasting models, with disciplined approaches to performance measurement, backtesting, and robust error tracking
• Proven ability to independently structure ambiguous problems and select the appropriate analytical approach without predefined direction
• Clear, persuasive communicator with strong stakeholder management skills and the ability to influence senior leaders across technical and non-technical audiences
• Strong bias toward automation: treat repetitive manual work as avoidable drudgery and build durable, automated systems, delegating to machines what they can do more reliably and efficiently than humans
• High standards of humility, honesty, and ownership: you take responsibility for outcomes, invest in your own growth, and actively develop others
• Experience building optimization models using linear programming techniques (e.g., CPLEX, Gurobi) is a plus