Product Analyst

• 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.