Data Analyst

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Sezzle

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

💳 Fintech

👥 B2C

🛍️ eCommerce

Fintech • B2C • eCommerce

Sezzle is a financial technology company that offers a "buy now, pay later" service, allowing consumers to purchase products and pay for them in four interest-free installments over six weeks. The Sezzle app provides users with a flexible financing alternative to traditional credit cards, enabling instant approval decisions without impacting credit scores. Sezzle partners with various top brands, including Amazon, Walmart, and Target, to offer in-app and in-store payment options. The company's mission is to empower consumers financially by providing more financial freedom and control. It is available as a mobile app, with millions of downloads and high user ratings, and works towards accessibility and inclusion on its platform.

📋 Description

• Partner with stakeholders across Product, Engineering, Finance, Sales, Marketing, Support, Legal, and People Operations to identify opportunities and improve operational efficiency • Understand business priorities and analytics needs • Create sophisticated analyses and reporting that support strategic initiatives and data-informed decision-making • Visualize and communicate analytics results so stakeholders can interpret and act on them • Help stakeholders identify new opportunities through data analysis • Create, monitor, review, and analyze reports and dashboards • Fix reporting and dashboard issues and conduct root cause analyses • Use AI tools, LLMs, copilots, and workflow automation platforms to improve analytical productivity and build scalable solutions

🎯 Requirements

• Degree in statistics, math, actuarial science, economics, data science, computer science, or a related quantitative discipline • Master’s degree or 3+ years of professional experience working with data, including complex dataset creation, reporting, profiling, or machine learning • Expert SQL skills for data extraction and actionable dataset creation • Experience with Python for data processing and analytics • Ability to complete analyses with minimal guidance • Experience with Redash, Tableau, Looker, or Power BI • Ability to make impactful decisions in a fast-paced, sometimes ambiguous environment and pivot quickly to new priorities • Excellent problem-solving skills • Strong business judgment and communication skills • Fluent in English • Preferred: graduate degree in a quantitative discipline • Preferred: experience optimizing operational and financial performance • Preferred: experience in payments, financial services, banking, fintech, or BNPL

🏖️ Benefits

• Remote work arrangement • Fast-paced, high-growth work environment • Opportunity to work with modern AI tools, including LLMs, copilots, and workflow automation platforms • Exposure to Python, Redshift, PostgreSQL, dbt, AWS, G Suite, Mac, Claude, and ChatGPT • Interview process includes a coding assessment, case study, and behavioral interview