Analyst II, Full Stack

Emploi pas sur LinkedIn

🕒 il y a 24 jours

🏄 California, Connecticut, +3 états de plus – Distant

🏄 California – Remote 🦌 Connecticut – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $124 000 - $190 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

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Affirm

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2012

💳 Fintech

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity en 2021-01

Fintech • B2C • eCommerce

Affirm est une entreprise de technologie financière qui propose un service "Achetez maintenant, payez plus tard", permettant aux consommateurs d'effectuer des achats et de les payer au fil du temps avec des plans de paiement flexibles. Affirm élimine les frais cachés et les intérêts composés, offrant des conditions claires pour ses utilisateurs. L'entreprise propose également la Carte Affirm, une carte de débit permettant aux utilisateurs de demander un paiement échelonné pour les achats plus importants ou de payer en une fois pour les plus petits. Affirm s'associe à divers détaillants dans plusieurs catégories, notamment l'électronique, les vêtements et le voyage, offrant aux clients la commodité de payer en plusieurs fois lors du passage en caisse, tant en ligne que dans les magasins physiques. Les services d'Affirm sont intégrés à Apple Pay, permettant aux clients de régler leurs achats de manière transparente depuis leur iPhone ou iPad.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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