Product Analyst II

Summary

Join our team as a Product Analytics Manager to drive business growth through data-driven insights and strategies.

Requirements

• Proven experience (2+ years) in product analytics, preferably in a high-velocity product environment, with a track record of delivering impactful insights and driving growth
• Understanding of statistical analysis methods, experimental design, and hypothesis testing
• Experience with A/B testing methodologies, funnel analysis, cohort analysis, and other advanced analytics techniques
• Strong proficiency in data visualization tools such as Tableau, Looker, or similar tools to create compelling dashboards and reports
• Expertise in programming languages such as Python or R, as well as proficiency in SQL for data extraction and manipulation
• Self-motivated, proactive, and able to work effectively both independently and collaboratively in a dynamic, fast-paced environment
• Excellent communication and presentation skills, with the ability to convey complex findings and insights to non-technical stakeholders in a clear and actionable manner
• Strong problem-solving skills and the ability to think critically, ensuring accuracy and attention to detail in all analyses
• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. A Master's degree is a plus

Responsibilities

• Collaborate with the product team to develop and execute data-driven experiments and A/B tests, focusing on UGC initiatives
• Conduct in-depth analysis of user behavior, conversion rates, and content performance to identify growth opportunities and inform product and search and recommendation optimization strategies
• Provide actionable insights and recommendations to key stakeholders based on statistical analysis and data interpretation
• Develop and maintain advanced dashboards, reports, and visualizations to track and communicate critical key performance indicators (KPIs) and performance metrics
• Work closely with stakeholders to define and track KPIs and design Product Analytics roadmap to drive UGC strategy
• Work closely with engineering teams to ensure accurate data collection and instrumentation, providing guidance on tracking implementation and data integrity
• Collaborate with the data engineering team to refine and enhance data infrastructure and architecture to support advanced analytics and reporting capabilities

Benefits

• Competitive equity ownership
• Comprehensive and generous benefits package