Product Data Intern

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Sezzle

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

💳 Fintech

🛍️ eCommerce

👥 B2C

💰 $225M Post-IPO Debt - Sezzle on 2024-05

Fintech • eCommerce • B2C

Sezzle is a fintech company that provides buy-now-pay-later (BNPL) payment solutions. It enables consumers to split online purchases into interest-free installment payments and offers merchants a checkout option and integrations to increase conversion and average order value. Sezzle operates primarily in North America and serves both consumers and e-commerce merchants.

📋 Description

• Support business teams by helping them understand their data needs and analytics priorities. • Assist in creating analyses and reports to provide insights that help with growth strategies. • Help stakeholders identify new opportunities by analyzing key data. • Assist with creating, monitoring, and reviewing reports and dashboards. • Help visualize and present analytics results so others can understand and act on them. • Define key metrics and performance objectives with product team leaders. • Support data initiatives across various departments. • Write SQL queries, contribute Python code, and generate charts and dashboards for data-driven decision-making.

🎯 Requirements

• Currently pursuing a degree in a quantitative discipline such as statistics, math, data science, computer science, business, or economy. • Solid understanding of SQL for extracting and working with data and creating actionable data sets. • Familiarity with Python for data processing and analytics. • Eagerness to learn and adapt to new technologies quickly. • Strong problem-solving skills and attention to detail. • Excellent communication skills and fluency in English. • Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication. • Preferred: experience with data visualization tools such as Redash, Tableau, Looker, or Power BI. • Preferred: experience with data, including complex dataset creation, reporting, profiling, and machine learning. • Working knowledge or exposure to Python, Redshift, PostgreSQL, dbt, AWS, G Suite, and Mac.

🏖️ Benefits

• No specific benefits or perks are stated; the posting provides a general culture description.