Analyst Ii, Full Stack (customer Servicing Analytics)

Affirm Affirm · Fintech · United States · Remote · Consumer Analytics

This role focuses on building and maintaining forecasting models using time series, regression, and machine learning for operational planning within a fintech company. The analyst will apply AI/LLM tools across the analytics workflow, from data exploration to stakeholder communication, and contribute to shaping the team's AI usage. Key responsibilities include demand forecasting, headcount planning, and surfacing efficiency improvements, requiring strong analytical skills, SQL, Python/R, and cloud data platform experience.

What you'd actually do

  1. Build and maintain forecasting models, using time series, regression, and machine learning, to support contact forecasting, headcount and license planning, and budgeting.
  2. Partner with stakeholders to frame planning and forecasting problems, develop supporting metrics and diagnostics, and support high-quality decisions.
  3. Surface productivity and efficiency improvements using budget and financial performance data.
  4. Present recommendations to leadership, drive timely decisions, and communicate clearly with cross-functional partners.
  5. 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.

Skills

Required

  • 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.
  • 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.

Nice to have

  • Experience building optimization models using linear programming techniques (e.g., CPLEX, Gurobi) is a plus.

What the JD emphasized

  • Operating independently in ambiguous environments is essential.
  • Proven ability to independently structure ambiguous problems and select the appropriate analytical approach without predefined direction.

Other signals

  • AI is integral to the analytics workflow on this team.
  • The analyst applies AI from data exploration through model validation to stakeholder communication, and helps shape how the team uses it.
  • 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.