Analyst II, Full Stack

Vaga não está no LinkedIn

🕒 Maio 14

🏄 California, Connecticut, +3 estados a mais – Remoto

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

💵 $124.000 - $190.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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Affirm

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2012

💳 Fintech

👥 B2C

🛍️ Comércio Eletrônico

💰 Post-IPO Equity em 2021-01

Fintech • B2C • eCommerce

A Affirm é uma empresa de tecnologia financeira que oferece um serviço de Buy Now, Pay Later (BNPL), permitindo que os consumidores façam compras e paguem ao longo do tempo com planos de pagamento flexíveis. A Affirm elimina taxas ocultas e juros compostos, fornecendo termos e condições claros aos seus usuários. A empresa também oferece o Affirm Card, um cartão de débito que permite solicitar o pagamento ao longo do tempo para compras de maior valor ou pagar à vista as menores. A Affirm faz parcerias com diversos varejistas em várias categorias, incluindo eletrônicos, vestuário e viagens, proporcionando aos clientes a conveniência de pagar ao longo do tempo no checkout, tanto online quanto em lojas físicas. Os serviços da Affirm são integrados ao Apple Pay, permitindo que os clientes efetuem pagamentos de forma fluida diretamente do iPhone ou iPad.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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