Senior Product Analyst

Summary

Join our dynamic team as a Senior Product Analyst to drive product strategy and innovation within the Discovery Pillar, leveraging learnings from experimentation and user insights to enhance discovery, engagement, search, and recommendations. As a highly motivated and analytical individual, you will collaborate closely with cross-functional teams to optimize user experiences, identify opportunities to expand our catalog, and drive growth.

Requirements

• Proven experience (3+ years) in product analytics, preferably in a high-velocity product environment, with a track record of delivering impactful insights and driving growth
• Expert knowledge 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 Discovery 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 KPIs and performance metrics
• Work closely with stakeholders to define and track key performance indicators and design Product Analytics roadmap to drive Discovery 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
• Mentor and guide junior analysts, sharing your expertise in statistics, data analysis, and product analytics best practices
• Stay up-to-date with the latest advancements in analytics best practices, analytics tools, and statistical methodologies

Benefits

• Competitive equity ownership
• Comprehensive and generous benefits package