Product Analyst

Location: Global (Remote) Workplace: Remote Product Analyst Location: Global (Remote) Reports to: VP of Product Employment Type: Full-time MISSION AT RWAZI Rwazi’s AI-powered SaaS platform serves enterprise clients who rely on decision-grade data and actionable intelligence. The Product Analyst owns the quantitative visibility layer of the product. This role analyzes user behavior, product performance metrics, feature adoption, and retention signals to inform product strategy and roadmap decisions. The Product Analyst ensures product decisions are grounded in evidence, not intuition. CORE MANDATE The Product Analyst is accountable for: - Measuring and interpreting user behavior across the SaaS platform - Tracking feature adoption, engagement, and retention metrics - Identifying friction points and drop-offs - Translating behavioral data into actionable product insights - Providing structured recommendations to VP of Product This is a product intelligence role embedded inside product execution. KEY RESPONSIBILITIES USER BEHAVIOR ANALYSIS - Track user journeys across dashboards, workflows, and modules - Identify usage frequency patterns across accounts - Analyze session depth, repeat usage, and expansion signals - Detect behavioral differences across verticals and enterprise segments FEATURE PERFORMANCE & ADOPTION - Monitor new feature launch performance - Track adoption velocity and engagement rates - Identify underutilized features and diagnose causes - Support A/B testing and experiment analysis RETENTION & EXPANSION METRICS - Measure account-level retention and churn indicators - Identify signals predictive of expansion or contraction - Build cohort analyses across industries and client tiers PRODUCT KPI GOVERNANCE - Define and maintain core product metrics - Ensure data accuracy and consistency across dashboards - Maintain product performance reporting cadence (weekly/monthly) INSIGHT GENERATION & STRATEGIC INPUT - Translate data into clear, structured insights - Provide recommendations to VP of Product and cross-functional teams - Surface early warning signals affecting product health ROLE IMPACT Strong performance in this role results in: - Data-driven roadmap decisions - Faster detection of product friction - Improved feature adoption rates - Higher retention and expansion metrics - Reduced reliance on anecdotal product feedback This role strengthens the intelligence behind product evolution. WHAT THIS ROLE IS NOT - This is not a passive reporting role - This is not general business analytics disconnected from product - This is not ad-hoc dashboard building only This role requires structured reasoning, proactive insight generation, and product fluency. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - 3–6+ years in product analytics or SaaS analytics roles - Strong fluency in SQL, data modeling, and analytics tooling - Experience working closely with Product teams - Ability to conduct cohort analysis, funnel analysis, and retention modeling - Strong quantitative reasoning and pattern recognition - Comfort translating data into executive-level insights Candidates may come from high-growth B2B SaaS, marketplace platforms, or data-intensive environments. CULTURAL FIT We value analysts who: - Think in systems and causal relationships - Question assumptions and validate with data - Prefer clarity over complexity - Move quickly and iterate - Are comfortable operating with executive visibility This role is suited for individuals who enjoy turning behavioral data into product advantage. HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to interpret behavioral product data - Clarity and rigor of their analytical reasoning - Experience building actionable product insights - Comfort working with ambiguity and incomplete signals - Their ability to influence product decisions through evidence We prioritize demonstrated analytical capability and product impact over resumes alone. SUMMARY The Product Analyst ensures Rwazi’s product evolves based on measurable user behavior and performance signals. This role strengthens the product intelligence layer and enables disciplined, data-driven product growth.