Product Analyst – Application Lifecycle

Product Analyst – Application Lifecycle (Argentina) Get AI-powered advice on this job and more exclusive features. At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. While our core operations are based in the United States, we are excited to be setting up our presence in Argentina as we continue to grow globally. From our employees to our dealers, partners, and borrowers, we’ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking - and we’re looking forward to building a strong local team in Argentina to support our mission. We’re seeking a Senior Product Analyst who will inform product strategy across the entire loan application lifecycle. You’ll play a pivotal role in shaping Lendbuzz’s future by ensuring that both what we build and how we optimize the application experience are guided by robust, accurate insights. Collaborating closely with product managers, engineers, and operations teams, you’ll turn product metrics into actionable recommendations that drive growth, enhance efficiency, and elevate user experience. Key Responsibilities Product Analytics: Conduct deep-dive exploratory analyses to understand user pain points, “ah-ah” moments, and product usage insights Collaborate with product teams to build reusable or ad hoc data views, influencing strategy, design, and development Design, develop, and maintain dashboards and reports using SQL (CTEs, window functions, etc.) or scripting languages, offering real-time visibility into product performance Track and evaluate the success of product launches and A/B experiments; monitor system and product performance post-launch Conduct quality checks on analytics events and recommend enhancements to amplify product performance Participate actively in agile processes, from design through implementation and deployment AppLife Analytics: Ability to identify trends and conversion opportunities within the loan origination process Partner with product managers and engineers to design data requirements to ensure proper success measurement of new features Create anomaly detection that identifies shifts in behavior that could indicate a production issue Dive deep into user behavior and find insights that inform product teams on how to influence different personas Analyze verification flows and illuminate opportunities for automation working with product and ML/AI teams Find ways to measure internal team performance within the underwriting, sales, and funding departments Key Requirements 5+ years of experience in data/product analysis SQL expertise; comfortable with complex queries, including CTEs and window functions Proficiency in BI tools like Sigma, Tableau, or Power BI; experience with DBT is a plus Basic knowledge of Python and Git Strong data experimentation and statistical analysis background Expertise in product analytics tools like Heap, Amplitude, or Mixpanel Excellent around cross‑functional collaboration (Product, Engineering, Ops) Strong problem‑solving, critical thinking, and business acumen Creative, proactive, organized, and growth‑minded Fluent in English (written and verbal) We believe: Diversity is a competitive advantage . We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds. Compassion is a strength. We care about our customers and look to build long‑term relationships with them. Simplicity is a key feature . We work hard to make our forms and processes as painless and intuitive as possible. Honesty and transparency are non negotiable . We incorporate these traits in all of our interactions. Financial opportunity belongs to everyone . We work every day to improve lives by extending this opportunity. If you believe in these values too, we would love to hear from you We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Seniority level Associate Employment type Full-time Job function Research, Analyst, and Information Technology Industries: Transportation, Logistics, Supply Chain and Storage Referrals increase your chances of interviewing at Lendbuzz by 2x #J-18808-Ljbffr