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[Remote] Analyst II, Full Stack (Customer Servicing Analytics)

Remote · Sri Lanka Full-time

Note: The job is a remote job and is open to candidates in USA. 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 Analyst II in Full Stack (Customer Servicing Analytics) will leverage data to shape servicing strategies and apply AI in the analytics workflow to drive business impact. This role involves building forecasting models, collaborating with stakeholders, and providing insights to improve productivity and efficiency.

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

Skills

  • 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

Benefits

  • Equity rewards
  • Monthly stipends for health, wellness and tech spending
  • Benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
  • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
  • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
  • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

Company Overview

  • Affirm is a financial technology services company that offers installment loans to consumers at the point of sale. It was founded in 2012, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.affirm.com.
  • Company H1B Sponsorship

  • Affirm has a track record of offering H1B sponsorships, with 20 in 2026, 104 in 2025, 96 in 2024, 133 in 2023, 179 in 2022, 132 in 2021, 57 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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