Product Analyst

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.