Product Analyst
hace 2 semanas
Base pay range ARS60,906,721.00/yr - ARS67,672,970.00/yr This range is provided by Lendbuzz. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. 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. Please note - The salary range is listed in Argentine Pesos (ARS). Please apply directly at - The Role 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. Call Center Analytics: Analyze performance metrics (call volumes, handle times, abandonment, NPS/CSAT, agent productivity) to uncover trends and opportunities. Partner with Operations, Product, and CX teams to translate call data into process and product recommendations. Develop dashboards and KPI frameworks to drive decisions around call routing, workforce optimization, and automation. Run root-cause analyses to pinpoint inefficiencies and improve customer journeys. Influence product roadmaps and automation initiatives with thoughtful data insights. Lead A/B tests and other experiments to measure outcomes in call center performance. Ideal Profile 5+ years of experience in data/product analysis, including call center analytics. 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 call center platforms and KPIs; Genesys experience is a plus. Excellent cross-functional collaboration (Product, Engineering, CX, Ops). Strong problem-solving, critical thinking, and business acumen. Creative, proactive, organized, and growth-minded. Fluent in English (written and verbal). What’s on Offer Flexible working options Work alongside & learn from best in class talent Work within a company with a solid track record of success Seniority level Mid-Senior level Employment type Full-time Job function Research, Analyst, and Information Technology Industries Technology, Information and Internet #J-18808-Ljbffr
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