PLG Product Analyst (Mid-Level, Remote)

About Lucidya

Lucidya is on a mission to transform how businesses grow by putting Product-Led Growth (PLG) at the heart of our SaaS strategy. We are building a self-serve product experience that empowers users to onboard seamlessly, discover value faster, and adopt features with minimal friction.

To accelerate this transformation, we’re hiring a PLG Product Analyst to be the data backbone of our PLG initiatives, driving visibility into user behaviour, funnels, activation, and retention.

About the Role

As a PLG Product Analyst, you will:

• Own the funnel health, event tracking, and behavioral insights for Lucidya’s products.
• Build the analytics framework that powers PLG adoption, retention, and experiment validation.
• Partner cross-functionally with Product, Engineering, Marketing, CX, and Leadership to deliver data-driven insights that directly impact growth and strategy.

This role is perfect for someone who thrives on:

• Diving deep into user data to define and track activation, time-to-value, and retention.
• Building dashboards that illuminate user journeys and friction points.
• Running experiments and validating hypotheses with actionable insights.
• Being the go-to expert on PLG analytics.

What You’ll Do

• Build and own Lucidya’s product analytics framework from the ground up.
• Define and maintain event tracking taxonomy across PLG features and funnels.
• Design dashboards and reports to track activation, retention, adoption, churn, and growth metrics.
• Partner with Product Managers to design, run, and validate A/B experiments.
• Conduct deep-dive analyses on user journeys, cohorts, and feature adoption.
• Sync product events with marketing tools to enable lifecycle campaigns.
• Deliver monthly analytics reports to leadership with actionable recommendations.
• Maintain embedded dashboards for key modules (Social Listening, OmniServe).

What Success Looks Like

• Data Coverage: % of key events and flows tracked accurately.
• Time-to-Insight: Faster access to clean, actionable data for PMs and leadership.
• Activation Improvements: Optimizations that improve onboarding and time-to-value.
• Adoption Metrics: Growth in usage of core and new features.
• Experiment Velocity: A/B tests executed, validated, and iterated at scale.
• Retention & Churn: Improved ability to predict and reduce churn.

First 90–120 Days

90 Days:

• Audit current analytics and tracking gaps.
• Deliver the Lucidya Product Analytics Playbook (metrics, events, funnels).
• Launch the first unified PLG + Product dashboard.

120 Days:

• Enable self-serve analytics for PMs, PLG, and Marketing.
• Deploy feature-level adoption dashboards across products.
• Implement an experimentation framework across squads.