Senior Analyst, Ad Forecasting & Inventory Yield
Roku · New York City, NY · 392 - Ad Rev Ops
About this role
Roku is hiring a senior-level Analytics Engineer in the data engineering function based in New York City, NY. The posting calls out experience with SQL, LLMs, Prompt Engineering, Tableau. Compensation is listed at $140,000–$150,000 per year.
- Role
- Analytics Engineer
- Function
- data engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- New York City, NY
- Department
- 392 - Ad Rev Ops
More roles at Roku
Job description
from Roku careersTeamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Role
We're seeking a Senior Analyst, Ads Forecasting & Inventory Yield to join our team of forecasting and yield specialists working to maximize profitable ad revenue across Roku's AVOD ecosystem. This role combines analytical rigor, strategic thinking, and hands-on execution to improve forecast accuracy, optimize inventory utilization, and support key monetization decisions. The ideal candidate brings strong quantitative skills, experience with large-scale advertising data, cross-functional fluency, and a demonstrated ability to leverage AI and automation to accelerate analytical workflows. This position reports to the Sr. Manager, Ad Forecasting & Inventory Yield, within Revenue Operations.