Data Analyst (Talent Pool)

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

Talent Pool Heads Up

This application is specifically for a talent pool rather than a traditional job vacancy. A talent pool is a proactive approach to recruitment, where we gather a diverse group of qualified candidates who may not be applying for a specific role at this moment but are recognized for their potential and skills. By participating in the talent pool, you are allowing us to consider you for future openings that align with your expertise and career interests. This initiative enables us to build a pipeline of talented individuals while fostering relationships with candidates who may fit various roles within our organization as they become available. We value your interest and look forward to the possibility of working together in the future.

Compensation

Sezzle is a remote U.S.-based company listed on NASDAQ. Our salary ranges are as follows:

• $2,000 - $6,600 USD gross per month (Based on experience and performance during the process)
  
  

About the Role:

We are seeking a talented and motivated Finance Data Analyst who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

In collaboration with business team leaders, you'll contribute to the formulation of monitoring metrics and performance objectives. Your responsibilities will include writing SQL queries, generating charts, and developing dashboards. While your primary work will be with the Finance team, there may be instances where you support initiatives across various departments such as Engineering, Product, Sales, Marketing, Support, Legal, or People Operations.

Key Responsibilities Include:

• Work closely with finance team to understand their analytics and reporting needs
• Create sophisticated analyses and reporting to provide insights at scale
• Visualize and articulate analytics results to make it easy for stakeholders to interpret and take actions
• Help stakeholders identify new opportunities through data analysis
• Create, monitor, review, and analyze reports and dashboards, take initiative to fix issues that arise and conduct root cause analyses
  
  

Minimum Requirements:

• Degree in statistics, math, actuarial science, economics, data science, computer science or related quantitative discipline
• 2+ years of professional experience working with data, which can include: complex dataset creation, reporting, profiling, and machine learning
• Expert in using SQL to extract data and create actionable data sets
• Expert in using Python for data processing and analytics
• Ability to complete analyses with minimal guidance
• Experience with data visualization tools such as Redash, Tableau, Looker or Power BI
• Comfortable making impactful decisions in a fast-paced and sometimes ambiguous environment, able to pivot quickly to new priorities
• Attention to detail and ability to multitask
• Excellent problem-solving skills.
• Strong business judgment and communication skills
• Fluent in English
  
  

Preferred Knowledge and Skills:

• Graduate degree in a quantitative discipline
• Experience optimizing operational and financial performance
• Experience in payments, financial services, banking, fintech, BNPL
  
  

The Tech You’ll Work With:

• Python
• Redshift, PostgreSQL
• Data build tool (dbt)
• AWS, G Suite, Mac
  
  

Interview Process:

• Online assessment
• Conversation with our recruiter.
• SQL interview with Coderpad. Share your SQL knowledge.
• Verbal case study interview. Share how you approach new problems. A “How would you…” conversation.
• Verbal behavioral interview. Share your problem-solving experience. A “Tell me about a time when you…” conversation.
  
  

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
  
  

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.