Director, Analytics

Roku
San Jose, California$248k – $331kPosted 7 April 2026

Tech Stack

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 Role Roku is committed to providing the best-in-class streaming hardware and software to consumers, enabling them to cut the cord and stream right from their TVs. To help enable this vision, the Director of Analytics is responsible for setting and delivering an analytics agenda that helps inform decision making, enables effective roadmaps, and guides strategy. The Director of Analytics will have a wide scope and be the senior strategic analytics partner for product management, marketing, ecommerce, retail sales, and engineering. We are looking for a strong operator with deep expertise in analytics that drives retail strategy, merchandising, promotions, and product strategy. For California Only - The estimated annual salary for this position is between $248,000 - $331,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. What You'll Be Doing Work with the Devices leadership team to plan and drive an analytics strategy and roadmap that equips the business to make optimal decisions and roadmaps for our hardware products Find novel data-based approaches to optimizing sales, pricing, merchandising, and promotions strategies through our retail and distribution channels Leverage analytical and statistical skills to proactively generate insights that helps us build an excellent streamer experience Partner with other data science, data engineering and analytics teams to execute on an overall data strategy that drives Roku forward Hire and develop a team of exceptional analytics professionals who will generate actionable insights, balancing the tradeoff between precision and practical outcomes Be a champion for an objective, data-driven culture that strives to do what’s right for Roku Manage the design, execution, and analysis of experiments Deliver presentations to clearly and effectively communicate findings to stakeholders and executive leadership We're Excited If You Have 10+ years of relevant experience in tech, retail, or consumer electronic sectors 5+ years of experience building and leading analytics teams including formal supervisory duties Proven experience in driving projects from start to finish, while driving impact Proven track record of thriving with ambiguity Experience with statistical analysis and modeling, e.g. causal inference, significance testing, regression analysis, etc. Experience with SQL Some coding ability in R or Python is a plus Communication and presentation experience with proven track record of using insights to influence executives and colleagues #LI-KR3 Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offer ... (truncated, view full listing at source)
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