Analytics Engineer 5 - Demand Science

Overview

Lead end-to-end analytics for Netflix Ads Demand Science, covering media planning and campaign management tools, ML models, and agentic solutions, with a focus on open-ended discovery that shapes what the team builds next.

What you'll do

• 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.

What you'll need

• 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 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.
• Enthusiastic about and compatible with Netflix culture.

Nice to have

• Experience with LLM techniques that accelerate data analysis.

Details

• Location: USA, Remote.
• Compensation is an annual salary range of $330,000.00 - $566,000.00, varying by location.