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Shared by 
18 days ago
Requirements and responsibilities
About the roleRYZ 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. You will partner closely with Product Managers and Engineers to drive data-informed decisions, own the full experimentation lifecycle, and deliver actionable insights that improve user experience and product performance.This role is ideal 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 environmentsStrong 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 analysisExperience working with product event data, including event tracking, instrumentation, and validationFamiliarity with analytics tools such as Amplitude, Harness, or similar platformsStrong understanding of product metrics such as funnels, retention, and user engagementExcellent communication skills, with the ability to translate data into clear insights for technical and non-technical stakeholdersStrong ownership mindset, with the ability to independently drive analyses from ambiguous questions to actionable conclusionsKey Responsibilities:Partner with Product Managers and Engineers during roadmap and sprint planning to identify high-impact experimentation opportunitiesOwn the full experimentation lifecycle, including hypothesis framing, test design, instrumentation validation, analysis, and stakeholder communicationAnalyze user funnels and retention metrics to identify drop-offs, engagement drivers, and long-term user behavior patternsBuild and maintain dashboards and reporting frameworks to provide visibility into product performanceInvestigate anomalies and unexpected changes in metrics, identifying root causes and communicating findings effectivelyConduct ad hoc deep-dive analyses to support product decisions and strategic initiativesWork directly with event-level product data to uncover insights beyond standard dashboardsContribute to improving data quality, tracking, and analytical best practices across the team
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