Data Analyst

About Sezzle

Sezzle is on a mission to empower the next generation financially by revolutionizing the shopping experience beyond traditional payments. The company integrates advanced technology with interest-free installment options to make shopping smarter and more accessible. Sezzle aims not only to transform payment solutions but also to redefine how consumers discover, engage with, and purchase products, thereby driving merchant sales through increased conversion rates and higher order values. Sezzle fosters an innovative and dynamic team culture focused on creating unique shopping journeys rather than just transactions.

Role Overview

Sezzle is seeking a Data Analyst to contribute to achieving business goals through analytics. This role offers the chance to operate in a rapidly growing, dynamic environment while collaborating with various departments including Product, Engineering, Finance, Sales, Marketing, Support, Legal, and People Operations. The key functions include identifying data-driven opportunities, measuring performance metrics, and enhancing operational efficiency.

Key Responsibilities

• Engage with business teams to grasp priorities and analytics requirements.
• Develop complex analyses and reports that support strategic initiatives and foster data-driven decision-making.
• Translate analytical findings into clear visualizations and narratives to help stakeholders understand and act on insights.
• Assist teams in uncovering new business opportunities through data analysis.
• Maintain and evaluate dashboards and reports, proactively troubleshooting and performing root cause investigations.
• Leverage modern AI technologies such as large language models, copilots, and automation platforms to boost analytical productivity and build scalable solutions.

Required Qualifications

• A degree in statistics, mathematics, actuarial science, economics, data science, computer science, or a closely related quantitative field.
• Master’s degree or at least 3 years of professional experience involving complex dataset creation, reporting, data profiling, or machine learning.
• Advanced proficiency in SQL for data extraction and actionable dataset creation.
• Experience using Python for data analytics and processing.
• Capability to independently perform thorough analyses with minimal oversight.
• Familiarity with data visualization platforms such as Redash, Tableau, Looker, or Power BI.
• Ability to make impactful decisions in a fast-paced and occasionally ambiguous setting, swiftly adapting to new priorities.
• Outstanding problem-solving aptitude.
• Strong business judgment and communication skills.
• Fluent English language skills.

Preferred Skills

• Advanced degree in a quantitative discipline.
• Experience enhancing operational and financial performance.
• Industry experience in payments, financial services, banking, fintech, or BNPL (Buy Now, Pay Later) sectors.

Technical Environment

• Python
• Amazon Redshift, PostgreSQL
• Data Build Tool (dbt)
• AWS, Google Suite, Mac operating systems
• AI coding assistants including Claude and ChatGPT

Hiring Process

• Submit an application.
• Complete a Wonderlic assessment (30-40 minutes).
• Take a coding test (approximately 1.5 hours).
• Interview with recruiters (30 minutes).
• Participate in a verbal case study interview focusing on problem-solving approaches.
• Engage in a behavioral interview discussing past problem-solving experiences.
• Final job offer.

Candidate Profile

• Maintains exceptionally high standards, constantly raising the bar and ensuring problems are thoroughly resolved.
• Innovative thinker willing to challenge conventions and develop novel solutions.
• Acts quickly with calculated risk-taking in mind, recognizing that many decisions are reversible.
• Builds trust through attentive listening, candid communication, and respectful interactions.

Compensation

The monthly gross salary is between $2,800 and $6,800 USD, depending on experience and interview performance.