Product Analyst

• Atlanta
• Hybrid

Job Description

Job Summary

Were hiring a data-driven Product Analyst to be the source of truth for product usage and outcomes. Youll own our Pendo instrumentation (pages events funnels segments) and the analytics stack that turns product data into actionable KPIs for roadmap decisions. Youll partner with Product Managers before during and after launches to define success measure adoption and recommend next actions that drive customer value and business impact.

Essential Functions & Responsibilities

Instrumentation & Data Quality

• Build and maintain a Pendo tracking plan: taxonomy naming conventions page/feature tagging event specs versioning.
• Configure funnels paths cohorts and segments (e.g. role tier region account size) to answer who is adopting and why.
• Implement data quality guardrails: monitoring alerts for broken tags change logs documentation and deprecation workflow.
• Ensure performance privacy-safe event capture (PII minimization consent retention).

KPI Definition & Outcome Measurement

• Facilitate pre-launch success criteria with PMs (baseline target measurement plan) and document in a launch brief.
• Produce 30/60/90-day post-launch readouts with adoption activation depth of use retention time-to-value and insights.
• Tie product metrics to business outcomes (account coverage expansion churn risk NPS/CSAT correlations).

Dashboards & Decision Enablement

• Build source-of-truth dashboards (Pendo BI tool) for initiative health portfolio views and executive rollups.
• Create self-serve reporting (saved reports curated charts how to read this notes) for PMs and leadership.
• Translate insights into clear recommendations: double down iterate holdback or deprecate.

Experimentation

• Support A/B tests staged rollouts and holdbacks; analyze impact and statistical confidence.
• Partner on in-app guides/tooltips/nudges (if applicable) and measure lift.

Cross-Functional Collaboration

• With PMM/Marketing: surface usage insights to inform positioning release notes and campaigns.
• With Customer Success: provide adoption heatmaps risk alerts and feature-education opportunities.
• With Data/BI: join product usage to account/financial data; improve semantic layers and definitions.

Stardate: ASAP
Compensation: Negotiable.