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Analyst II, Full Stack
AffirmAnalyst II at Affirm supporting operations analytics through AI and data insights. Collaborating cross-functionally to forecast and optimize customer operations with quantitative methods.
Posted 5/14/2026full-timeRemote • California, Connecticut, New Jersey, New York, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $124,000 - $190,000 per yearWebsite
Tech Stack
Tools & technologiesBigQueryCloudPythonSQL
About the role
Key responsibilities & impact- Own planning and staffing for UK and new-geography launches and special teams. Develop and maintain the guardrail metrics.
- Build working familiarity with the underlying data, including demand signals, agent rosters (team, title, country), and agent activity (delivered hours, status), and license demand.
- Own demand forecasts for checkouts and app opens in CA and UK and new geographies.
- Report on forecast health for UK, CA, and other geos (accuracy and outlook).
- Advise Customer Operations real-time management (UK) on agent productivity.
- Curate AI knowledge for Customer Operations (UK) and UK Infrastructure forecasting.
- 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
What you’ll need- 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.
- Experience building optimization models using linear programming techniques (e.g., CPLEX, Gurobi) is a plus.
- 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.
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
forecastingplanningSQLPythonRmachine learningtime seriesregressionoptimization modelsstatistical forecasting
Soft Skills
communicationstakeholder managementproblem structuringinfluenceautomation mindsethumilityhonestyownershippersuasivenessindependence