Product Data Intern

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Logo of Sezzle

Sezzle

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

• 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. • Work closely with product team leaders to define key metrics and performance objectives. • Write SQL queries, contribute Python code, and generate charts and dashboards for data-driven decisions.

🎯 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 datasets. • 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, or machine learning. • Technology exposure includes Redshift, PostgreSQL, dbt, AWS, G Suite, and Mac.

🏖️ Benefits

• The posting does not specify additional benefits or perks.

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