Senior Product Analyst - Discovery

August 22

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💰 $58M Private Equity Round on 2019-11

Description

• 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.

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.