Product Data Intern

🔥 13 hours ago

🇵🇪 Peru – Remote

💵 $800 / month

⏰ Full Time

⚪️ Entry-level

✅ Product Manager

🚫👨‍🎓 No degree required

👻 Ghost score 21%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 1 day.
• Jobs at this company usually fill in 49 days.
• 242 open roles for a team of 278.

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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

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

🎯 Requirements

• Currently pursuing a degree in a quantitative discipline such as statistics, math, data science, or computer science, business, economy. • Solid understanding of SQL to extract, work with data and create 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. • Experience with data visualization tools such as Redash, Tableau, Looker or Power BI. • Experience working with data, which can include: complex dataset creation, reporting, profiling, and machine learning. • Wonderlic test, coding assessment, verbal case study interview, and verbal behavioral interview are part of the interview process.

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