Catalog Merchandising Performance Associate

Netflix•Los Angeles, CA

About The Position

The Product Merchandising team at Netflix is responsible for the positioning, presentation, and promotion of our evolving content catalog. This role offers an opportunity to join a start-up team within Netflix, where you will have the chance to define the team’s business impact and set the bar for what a merchandising team can deliver. The ideal candidate should be comfortable working in a fast-paced environment and interfacing daily with cross-functional experts.

Requirements

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.
Experience development measurement frameworks for new content types.
Proficiency in SQL and experience with large-scale datasets; familiarity with experimentation or BI tools is a plus.
Proven ability to build, refine, and automate performance reporting frameworks and dashboards.
Experience partnering cross-functionally to deliver analytics roadmaps and tooling solutions.
Excellent communication skills, with the ability to clearly articulate complex analytical findings to senior leadership and non-technical stakeholders.
Self-starter mindset with the ability to manage multiple priorities, provide ad hoc analytical support, and operate effectively in a fast-paced environment.

Nice To Haves

MBA and/or data-driven consulting background is a plus.

Responsibilities

Lead analytics for row activations, tracking performance at scale and delivering daily, in-depth insights into key drivers of row effectiveness.
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.
Revamp and streamline performance reporting frameworks and workflows, support monthly and quarterly business reviews, and enable executive decision-making with clear, data-driven insights.
Provide ad hoc analytical support to the Catalog Merchandising team to unblock mission-critical data needs and time-sensitive decisions.
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.