Data Analyst - Risk Management and Monitoring (Colombia) Bogota, Colombia 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. Position: We are seeking a talented and motivated 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. As a Data Analyst at Sezzle, you will play a crucial role in identifying, defining, and tracking key risk indicators to enhance our solutions' performance and safety. You will collaborate closely with Credit Risk, Fraud Risk, Product, Support, Compliance, and Marketing teams to understand their solutions and contribute to the seamless integration of risk controls. What You'll Do: Collaborative Insight Development: Work closely with cross-functional teams to gain a deep understanding of each solution and its potential impact on Credit and Fraud Risk indicators. Metric Definition and Dashboard Creation: Define critical Key Performance Indicators (KPIs) for monitoring and build comprehensive dashboards to ensure visibility across relevant metrics. Proactive Risk Monitoring: Establish effective alert mechanisms, optimizing them to reduce false negatives and minimize false positives, ensuring rapid and reliable response to emerging risks. Data Visualization and Communication: Design clear, compelling visualizations and interpret analytics results for stakeholders, enabling timely, data-driven decision-making across departments. Continuous Improvement: Regularly evaluate and refine monitoring approaches to adapt to evolving risks, business objectives, and stakeholder needs. Minimum Qualifications: 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, or machine learning. Expert in using SQL to extract data and create actionable data sets - Critical. Experience with Python for data processing and analytics. Ability to complete analyses with minimal guidance. Experience with data visualization tools such as Redash, SAS VA, Tableau, Looker, Power BI or other data analytics and reporting tools. 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 (both verbal and in writing). Fluent in English (C1 or above). Preferred Knowledge and Skills: Experience optimizing operational and financial performance. The Tech You'll Work With: Python Data build tool (dbt) AWS, G Suite, Mac 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. 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. #J-18808-Ljbffr