Product Data Intern

Sezzle is seeking a talented and motivated Product Data Intern to join its fast-growing team. This is an excellent opportunity to gain hands-on experience and develop analytical skills in a dynamic, fast-paced environment.

The selected candidate will work closely with product team leaders and support data initiatives across various departments. The role will involve defining key metrics and performance objectives, writing SQL queries, contributing Python code, and generating charts and dashboards that help teams make data-driven decisions.

Key Responsibilities

Data Analysis & Business Support

Support business teams by helping them understand their data needs and analytics priorities.

Assist in creating analyses and reports that provide insights to support business growth strategies.

Help stakeholders identify new opportunities by analyzing key business data.

Reporting & Dashboards

Assist with creating, monitoring, and reviewing reports and dashboards.

Help visualize and present analytics results in a clear and actionable format.

Support teams in using data insights to make informed business decisions.

SQL & Python

Write SQL queries to extract and work with data.

Create actionable datasets for analysis.

Contribute Python code for data processing and analytics.

Work with data to identify trends, opportunities, and useful business insights.

Skills Required

Candidates applying for this position should possess the following skills:

Core Analytics: Strong understanding of SQL, data extraction, data analysis, and creating actionable datasets.

Programming: Familiarity with Python for data processing and analytics.

Problem Solving: Strong analytical and problem-solving skills with excellent attention to detail.

Communication: Excellent communication skills and fluency in English.

Technology: Eagerness to learn and adapt to new technologies quickly.

AI Tools: Demonstrated experience working with Claude or equivalent large language model tools is required. Candidates should be comfortable using AI to improve productivity, research, and communication.

Preferred Qualifications

• Experience with data visualization tools such as Redash, Tableau, Looker, or Power BI.

• Experience working with data, including complex dataset creation, reporting, data profiling, and machine learning.

• Exposure to product analytics or business intelligence environments.

Eligibility Criteria

Candidates applying for this position should be currently pursuing a degree in a quantitative discipline such as statistics, mathematics, data science, computer science, business, or economics.

Candidates should have a solid understanding of SQL and familiarity with Python.

Strong problem-solving skills, attention to detail, communication skills, and fluency in English are required.

Demonstrated experience with Claude or an equivalent large language model tool is also required.

Working Hours & Days

The provided job posting does not specify working hours or working days.

Salary

The salary for the Product Data Intern position is $800 USD gross per month.

Number of Openings

Not specified in the provided job posting.

Start Date

Not specified in the provided job posting.

About Sezzle

Sezzle is a fintech company focused on financially empowering the next generation through interest-free installment plans and technology-driven shopping experiences.

The company aims to make shopping more accessible while helping merchants increase conversions and order values. Sezzle combines technology, payments, data, and retail to create a seamless shopping journey for consumers and merchants.

Why Join Sezzle?

Work in a fast-growing fintech environment while gaining practical experience in product data and analytics.

Develop hands-on skills in SQL, Python, data visualization, reporting, and business analytics.

Work closely with product team leaders and support data initiatives across multiple departments.

Gain exposure to technologies including Python, Redshift, PostgreSQL, dbt, AWS, and data visualization platforms.

Develop experience using AI and large language model tools to improve productivity, research, and communication.

Who Can Apply?

This role is suitable for students currently pursuing degrees in:

• Statistics

• Mathematics

• Data Science

• Computer Science

• Business

• Economics

• Other quantitative disciplines

Candidates interested in data analytics, product analytics, business intelligence, and fintech are encouraged to apply.

Selection Process

• Application Submission

• Wonderlic Test — 30–40 minutes

• Coding Assessment — approximately 1.5 hours

• Recruiter Interview — approximately 30 minutes

• Verbal Case Study Interview

• Verbal Behavioral Interview

• Final Selection

Advancement through each stage is not guaranteed.

Education Qualification

Currently pursuing a degree in a quantitative discipline such as Statistics, Mathematics, Data Science, Computer Science, Business, or Economics.

Important Documents

The provided job posting does not specify any required documents beyond the application requirements.

How to Apply

Review the job requirements and eligibility criteria carefully.

Submit your application for the Product Data Intern position through Sezzle’s recruitment process.

Complete the required assessment stages, including the Wonderlic test and coding assessment, if selected to proceed.

Be prepared for recruiter, case study, and behavioral interviews as part of the selection process.

Frequently Asked Questions

Is this an internship opportunity?
Yes, Sezzle is hiring for a Product Data Intern position.

Where is this position based?
The job posting lists Peru as the location.

What is the salary package?
The compensation is $800 USD gross per month.

What educational qualification is required?
Candidates should be currently pursuing a degree in a quantitative discipline such as statistics, mathematics, data science, computer science, business, or economics.

Is SQL required?
Yes. Candidates should have a solid understanding of SQL for extracting and working with data.

Is Python required?
Familiarity with Python for data processing and analytics is required.

Is experience with AI tools required?
Yes. Demonstrated experience working with Claude or an equivalent large language model tool is required.

Is previous professional experience required?
The posting does not specify prior professional experience as a requirement. The position is an internship opportunity.

What is the interview process?
The process includes a Wonderlic test, coding assessment, recruiter interview, verbal case study interview, and verbal behavioral interview.

What technologies will I work with?
The technology stack includes Python, Redshift, PostgreSQL, dbt, AWS, G Suite, and Mac. Data visualization tools such as Redash, Tableau, Looker, or Power BI may also be relevant.