Product Data Analyst (Colombia)

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! 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 Product 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 Product team, there may be instances where you support initiatives across various departments such as Engineering, Finance, Sales, Marketing, Support, Legal, or People Operations. Key Responsibilities Include: Work closely with business teams to understand their priorities and analytics needs Create sophisticated analyses and reporting to provide insights at scale that support growth strategies and empower data-informed decision-making 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 Degree in statistics, math, actuarial science, economics, data science, computer science or related quantitative discipline 4+ 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 Experience with 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 Preferred Knowledge and Skills: Experience optimizing operational and financial performance Experience in payments, financial services, banking, fintech, BNPL The Tech You'll Work With: Python 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: A+ character. We are team-first here at Sezzle. A hard-working mentality. There is still a lot to build. A fun attitude. Life is too short. We can have fun while we work hard on cool things. Smarts. We need people that are smart enough to make decisions on their own and also smart enough to know when they need input from others. 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. #Li-remote Apply for this job * indicates a required field First Name * Last Name * Email * Phone * Location (City) * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select... Degree Select... Select... Select... Start date year End date month Select... End date year Do you have an eligible work authorization to work in Latin America? * Select... What is your mailing address? * What is your monthly GROSS salary expectation in USD? * Do you have a degree in statistics, math, actuarial science, economics, data science, computer science or related quantitative discipline? * Select... What was your undergraduate GPA (Promedio Ponderado)? * Select... Please upload a copy of your university transcripts. * Accepted file types: pdf, doc, docx, txt, rtf How many years of professional experience do you have in working with data, which can include: complex dataset creation, reporting, profiling, and machine learning? * How many years of experience do you have using SQL to extract data and create actionable data sets and with Python for data processing and analytics? * How did you hear about this opportunity? * Select... #J-18808-Ljbffr