Data Analyst I

What You’ll Do

• 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

Required Skills and Qualifications

• 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.

Nice To Have

• 1–3 years of experience in analytics, data, or technical roles
• Experience in fintech, payments, lending, or financial services
• Prior work in credit, fraud, risk, or financial analytics
• Experience using statistical or data science libraries
• Experience with LLMs or AI-assisted analytics / automation workflows

What You’ll Get

• 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

Who Will Thrive Here

• Care deeply about doing things correctly, not just quickly
• Like messy problems and vague questions
• Want to build systems, not just answer one-off questions…