Senior Business Intelligence Engineer

Confirmed live in the last 24 hours

Roku

Hsinchu, Taiwan

Hybrid

Posted January 28, 2026

Job Description

Teamwork 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 team

When you join our Core Analytics Team, you will be part of a centralized analytics team, with all the benefits that entails: a world class peer group to support you, centrally maintained tools, career growth, and more.

About the role

Roku is looking for a Senior Business Intelligence Engineer (Sr. BIE) to play an instrumental role in helping Roku continue its success by providing end-to-end business intelligence solutions that democratize data across the business. You will work closely with analysts, data engineers, and business stakeholders to understand business questions, write robust pipelines to create analytical data assets, and use visualization to create informative reports and dashboards that allow stakeholders to answer questions quickly and with confidence. You will become an expert in our data infrastructure and create/maintain pipelines that are critical to conducting robust analyses. The ideal candidate for this role loves building tools and reports that empower others to make high impact decisions and tell stories with data.

What you will be doing

Work directly with analysts and engineers to understand goals, gather requirements, and guide development of new data assets by producing robust feature guides
Build and support robust data pipelines to support business tools and analytical needs and meet SLAs
Conduct UAT on new tables
Liaise with data engineers to understand and communicate the impacts of underlying changes in the data and update dependent pipelines
Identify and fill gaps among our data assets and key metrics