Scribd is hiring a
Senior Product Analyst, Remote - United States, Canada

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Scribd

πŸ’΅ $80k-$174k
πŸ“United States, Canada

Summary

The job is for a Senior Product Analyst in the business strategy & analytics team at Scribd. The role involves driving product strategy and innovation within the Discovery Pillar, collaborating with various teams to optimize user experiences, identify growth opportunities, and harness the potential of generative AI.

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

  • Base pay determined within a range based on the local cost of labor benchmarks for each specific role, level, and geographic location
  • Competitive equity ownership
  • Comprehensive and generous benefits package

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