Data Product Analyst

Remote position within Argentina & Uruguay RYZ Labs is seeking a highly skilled and motivated Product Analyst to join our client’s team, focused on building and scaling a real-time platform for sports card collecting and live commerce experiences. The ideal candidate will partner closely with Product Managers and Engineers to drive data-informed decisions, owning the full experimentation lifecycle and delivering actionable insights that improve user experience and product performance. This role requires a strong analytical mindset, deep experience with product data, and the ability to translate complex findings into clear business recommendations. This is a great opportunity for someone who thrives in a fast-paced, high-growth environment and enjoys working with large-scale event data, experimentation frameworks, and product analytics. Basic Qualifications: 4+ years of experience in product analytics, preferably in high-growth or consumer-facing environments Strong SQL skills, with experience working on large and complex datasets (Snowflake is a plus) Hands-on experience designing and analyzing A/B tests end-to-end, including hypothesis definition, metric design, and statistical analysis Experience working with product event data, including event tracking, instrumentation, and validation Familiarity with analytics tools such as Amplitude, Harness, or similar platforms Strong understanding of product metrics such as funnels, retention, and user engagement Excellent communication skills, with the ability to translate data into clear insights for technical and non-technical stakeholders Strong ownership mindset, with the ability to independently drive analyses from ambiguous questions to actionable conclusions Key Responsibilities: Partner with Product Managers and Engineers during roadmap and sprint planning to identify high-impact experimentation opportunities Own the full experimentation lifecycle, including hypothesis framing, test design, instrumentation validation, analysis, and stakeholder communication Analyze user funnels and retention metrics to identify drop-offs, engagement drivers, and long-term user behavior patterns Build and maintain dashboards and reporting frameworks to provide visibility into product performance Investigate anomalies and unexpected changes in metrics, identifying root causes and communicating findings effectively Conduct ad hoc deep-dive analyses to support product decisions and strategic initiatives Work directly with event-level product data to uncover insights beyond standard dashboards Contribute to improving data quality, tracking, and analytical best practices across the team