Product Analyst

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🕒 February 28

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Rwazi

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

💰 $12M Series A - Rwazi on 2025-07

Artificial Intelligence • SaaS • B2B

Rwazi is a B2B SaaS company that provides real-time consumer data and AI-driven insights to help global brands grow revenue, protect market share, and enter new markets. Its Lumora platform automates data collection, predictive modeling, and goal-driven recommendations, while Sena is a conversational AI copilot that gives instant, role-specific answers and execution guidance. Rwazi turns consumer behavior signals into actionable strategies for targeting, pricing, product and go-to-market decisions.

📋 Description

• 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 • Provides recommendations to VP of Product and cross-functional teams • Surfaces early warning signals affecting product health • Define and maintain core product metrics • Ensure data accuracy and consistency across dashboards

🎯 Requirements

• 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.

🏖️ Benefits

• This is a product intelligence role embedded inside product execution. • 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 • Candidates may come from high-growth B2B SaaS, marketplace platforms, or data-intensive environments. • 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.