Analytics Engineer
- Company
- Netflix
- Location
- Remote, United States
- Salary
- 330 000–566 000 $/yr
- Posted
- 2026-10-08
Skills: SQL, Python, Hadoop, Spark
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
The Demand Science team within Ads Data Science & Engineering plays a crucial role in Netflix Ads growth by equipping the business to efficiently attract, activate, and scale advertiser demand. As the dedicated analytics engineer in this space, you would lead analytics across our media planning and campaign management tools, ML models, and agentic solutions end-to-end. You will be responsible for leading the space; finding the patterns, risks, and opportunities before anyone asks for them, and turning that into a point of view that changes what the team builds next.
In this role, you will:
• 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…
Full text and application on the employer's site.