Tech Stack

Description

You will use Roku's first-party data and business intelligence tools to answer high-impact questions about content performance and strategy for The Roku Channel and Howdy. You'll work cross-functionally to analyze viewership, engagement, and monetization trends, translating complex data into clear narratives that inform content decisions. This role offers the opportunity to influence how millions of people discover and watch TV while gaining meaningful experience in a fast-growing company.

Requirements

• Currently pursuing an MBA or quantitatively oriented graduate degree with an expected graduation date in 2026 or 2027
• Prior professional experience in management consulting, investment banking, corporate strategy, media/entertainment, or another highly analytical role
• Strong proficiency in Excel, including comfort with pivot tables, lookups, and building clean, structured analyses
• Experience using business intelligence tools such as Tableau, Looker, or similar to pull, filter, and visualize data
• A genuine passion for TV, film, and streaming content, with curiosity about AVOD, FAST, and SVOD business models
• Ability to structure ambiguous problems, frame clear hypotheses, and connect data to business decisions and trade-offs
• Strong written and verbal communication skills, including experience building executive-ready PowerPoint decks and concise written summaries
• High attention to detail, strong organization skills, and the ability to manage multiple projects and stakeholders in a fast-paced environment
• A collaborative, low-ego working style and comfort operating in a test-and-learn environment

Responsibilities

• Pull and synthesize content performance, audience, and engagement data from Tableau, Looker, and internal dashboards
• Analyze viewership, engagement, and monetization trends to identify what types of content, formats, and windowing strategies are working
• Build clear, executive-ready narratives that translate complex data into simple, persuasive stories and recommendations
• Partner with Licensed and Original Content teams to scope project-based work, align on hypotheses, and pressure-test findings
• Proactively surface new questions and opportunities where data-driven insights can improve slate planning, scheduling, and monetization