• Analyze product performance metrics, user behavior, and customer feedback to identify trends and insights.
• Partner with Product Managers to define success metrics (KPIs) and track feature adoption, retention, and engagement.
• Build and maintain dashboards and reports to communicate product health and performance to stakeholders.
• Conduct A/B testing and cohort analysis to evaluate new features, product changes, and experiments.
• Translate complex data findings into actionable recommendations for product improvements.
• Work with data engineering teams to ensure accurate and reliable data pipelines and tracking implementations.
• Support product roadmap decisions by quantifying opportunities and measuring business impact.
• Present findings and insights in clear, visual, and compelling ways to technical and non-technical audiences.

Required Qualifications:

• Write and test simple AI prompts to support product delivery and business workflows.
• Bachelor’s degree in Business, Economics, Statistics, Computer Science, or a related field.
• 2–5 years of experience in product analytics, data analysis, or a similar role.
• Experience with analytics and experimentation tools (e.g., Amplitude, Mixpanel, Google Analytics, Optimizely).
• Proficiency in Excel or Google Sheets for data manipulation and reporting.
• Familiarity with statistical analysis, A/B testing, and data modeling concepts.
• Excellent communication skills and the ability to influence cross-functional teams with data-driven insights.