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Roku — New York City, New York
Teamwork makes the stream work. , 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 Lead Analyst, Ads Forecasting Inventory Yield to serve as a strategic individual contributor and functional expert on our team of forecasting and yield specialists working to maximize profitable ad revenue across Roku’s AVOD ecosystem. This role combines deep analytical expertise, cross-functional leadership, and hands-on execution to influence business strategy, drive forecast accuracy, optimize inventory monetization, and mentor team members. The ideal candidate brings top-tier quantitative skills, mastery of large-scale advertising data, the ability to manage upward to senior leadership, and demonstrated experience leveraging AI and automation to accelerate analytical workflows at scale.
This position reports to the Sr. Manager, Ad Forecasting Inventory Yield, within Revenue Operations. Based in our New York office.
This position is a hybrid role, Monday – Thursday in office with the option to work from home on Friday. This position is based in New York, New York. For New York - The estimated annual salary for this position is between $150,000 - $170,000 annually.
Compensation
packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.
Benefits
, parental leave, wellness
, and paid time off.
Requirements
are represented in data models and pipelines; initiate cross-functional projects where gaps exist Independently lead large-scale presentations to senior leadership, connecting analytical insights to broader business strategy and outcomes