Catalog Merchandising Performance Associate

Netflix Netflix · Big Tech · Los Angeles, CA +1 · Marketing

This role focuses on product merchandising analytics at Netflix, involving leading analytics for row activations, A/B testing, performance reporting, and providing ad hoc analytical support to drive merchandising and business decisions. The role requires strong SQL skills, experience with large datasets, and the ability to build and automate reporting frameworks.

What you'd actually do

  1. Lead analytics for row activations, tracking performance at scale and delivering daily, in-depth insights into key drivers of row effectiveness
  2. Partner with the team to design and improve velocity of A/B test hypotheses, conduct deep-dive analyses on test results, and translate complex results into clear, strategic recommendations
  3. Revamp and streamline performance reporting frameworks and workflows, support monthly and quarterly business reviews, and enable executive decision-making with clear, data-driven insights
  4. Provide ad hoc analytical support to the Catalog Merchandising team to unblock mission-critical data needs and time-sensitive decisions
  5. Collaborate closely with cross-functional partners to execute the merchandising performance roadmap, including building new dashboards, analytics tools, and scalable data and measurement frameworks with a bias toward speed

Skills

Required

  • SQL
  • large-scale datasets
  • A/B testing
  • experimentation frameworks
  • causal inference
  • performance reporting
  • dashboarding
  • cross-functional collaboration

Nice to have

  • MBA
  • data-driven consulting
  • experimentation tools
  • BI tools

What the JD emphasized

  • 5+ years of experience in consumer-facing product analytics, data science, or a related function, with a strong track record of driving insights that influence merchandising, promotional, and business decisions.
  • Deep expertise in A/B testing design, experimentation frameworks, and causal inference, with hands-on experience interpreting results and translating them into actionable recommendations.
  • Proven ability to build, refine, and automate performance reporting frameworks and dashboards.