Data Analyst I

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🕒 Março 18

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Parker

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2020

💳 Fintech

🛍️ Comércio Eletrônico

🏦 Bancário

Fintech • eCommerce • Banking

A Parker é uma empresa de tecnologia financeira que oferece serviços bancários inovadores, especialmente desenvolvidos para marcas de eCommerce. Com recursos como contas de poupança com alto rendimento, termos de crédito flexíveis e análises financeiras em tempo real, a Parker capacita os negócios a crescer de forma mais rápida e rentável. O Cartão Parker oferece condições de crédito recorrentes e categorização exclusiva de transações para simplificar o gerenciamento financeiro de varejistas online, estabelecendo um novo padrão em finanças para eCommerce.

Descrição

• Design, build and own core analytical metrics and dashboards used by leadership and operating teams • Analyze transaction, customer, and credit data to drive decisions across credit risk, • fraud & AML, portfolio performance, unit economics, and growth • Build automations and data pipelines using SQL and Python (or similar) • Partner closely with Risk, Product, Growth, Finance, and Compliance leaders on high-impact initiatives • Turn messy, ambiguous questions into clean data, clear metrics and actionable insights • Perform and own business-critical compliance reporting activities for the Risk team

🎯 Requisitos

• Excellent command of SQL (you can reason about performance, not just write queries) • Strong ability to write Python or similar for data workflows and automation • Strong mental model of data modeling, tables, schemas, and joins • Demonstrated ability to break down ambiguous problems, decide what should be measured, and build clean, reliable outputs • AI-first approach to create practical applications using Gen AI and LLMs • High ownership mindset: we want you to write your specs and not wait for them • Strong business judgment and curiosity about how companies actually operate • High standards for clarity, correctness, and simplicity • No prior fintech or credit experience is required, but you must show the ability and desire to learn complex domains quickly. • 1–3 years of experience in analytics, data, or technical roles (Nice To Have) • Experience in fintech, payments, lending, or financial services (Nice To Have) • Prior work in credit, fraud, risk, or financial analytics (Nice To Have) • Experience using statistical or data science libraries (Nice To Have) • Experience with LLMs or AI-assisted analytics / automation workflows (Nice To Have)

🏖️ Benefícios

• Competitive salary • Equity (ESOP) in a fast-growing fintech company • A role with real ownership and real consequences • Direct exposure to credit strategy, risk management, capital allocation, and business and growth strategy • The chance to build analytics the right way from early stages • Work on applied AI / LLM-driven analytics and automation • A steep growth curve and increasing scope over time