Data Analyst I

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🕒 March 18

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Parker

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

💳 Fintech

🛍️ eCommerce

🏦 Banking

Fintech • eCommerce • Banking

Parker is a financial technology company that provides innovative banking services tailored specifically for eCommerce brands. With features like high yield savings accounts, flexible credit terms, and real-time financial analytics, Parker enables businesses to grow faster and more profitably. The Parker Card offers rolling credit terms and unique transaction categorization to simplify financial management for online retailers, setting a new standard in eCommerce finance.

📋 Description

• 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

🎯 Requirements

• 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)

🏖️ Benefits

• 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