Collaborate with Product Managers and Designers to identify opportunities for product improvement and growth
Analyze the end-to-end user lifecycle to identify friction points, drop-off signals, and high-value behaviors
Design, execute, and interpret experiments to validate new features and product pivots
Partner with Data Engineering to ensure accurate, scalable, and meaningful tracking and telemetry
Translate complex datasets into actionable insights for non-technical stakeholders through visualization and storytelling
Define and monitor Key Performance Indicators (KPIs) such as retention, conversion rates, and lifetime value

Requirements

Minimum of 5 years in data analytics
At least 2 years specifically focused on product analytics or similar growth-focused role
Advanced SQL skills
Experience with Python for statistical modeling
Deep familiarity with product analytics platforms like Mixpanel, Amplitude, or Heap
Proven ability to build intuitive dashboards using Looker, Tableau, or Sigma
Experience mentoring junior analysts or leading cross-functional projects

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analyticsproduct analyticsSQLPythonstatistical modelingdashboard buildingdata visualizationKPI monitoringexperiment designdata interpretation

Soft Skills

collaborationcommunicationmentoringstorytellingcross-functional leadership