Analytics Engineer 5 - Demand Science

Netflix is an entertainment company focused on storytelling, global fandom, and technology. The Analytics Engineer 5 will lead end-to-end analytics for media planning and campaign management tools, machine learning models, and agentic solutions within Ads Demand. The role involves discovering risks and opportunities, developing metrics and tools, partnering with cross-functional stakeholders, and translating data into recommendations that influence product and campaign decisions.

Responsibilities:

• Partner directly with stakeholders (e.g., Scientists, Product Managers, Engineers) on media planning and campaign management analytics initiatives
• Lead open-ended discovery, surfacing risks and opportunities before they're asked for
• Own end-to-end development of the analysis, metrics, and tools used across Ads Demand
• Turn data into insights and recommendations that shape campaign and planning outcomes
• Define and evolve the metrics that describe campaign and planning health
• Partner with data engineering to keep analytics data reliable and available
• Communicate findings and recommendations clearly to technical and non-technical audiences

Requirements:

• 5+ years in a data analytics or data science function, with a track record of independent, open-ended analysis, in addition to dashboard delivery
• 5+ years of experience in leveraging technical skills in manipulating large data sets with complex SQL and Python (or similar languages), big data technologies (e.g., Hadoop, Spark), and visualization tools
• Comfort with ambiguity; able to take ownership, and thrive with minimal oversight and process
• Track record of turning analysis into a point of view that changes roadmap or product decisions
• Experience managing stakeholders' asks, expectations, and relationships across a variety of stakeholders
• Exceptional communication and collaboration skills coupled with strong business curiosity and acumen
• Experience with LLM techniques that accelerate data analysis