Analyst, BI Engineering at The Walt Disney Company in Burbank, CA
- Company: The Walt Disney Company
- Location: Burbank, CA, USA
- Salary: $90K – $121K
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-12
All open roles at The Walt Disney Company
Job description
Job Posting Title: Analyst, BI Engineering Req ID: 10159854 Job Description: Are you curious, creative, and love data? Do you enjoy collaborating with colleagues and using data to drive actionable insights? Do you want to be on the cutting edge of breakthroughs in data and analytics, encouraged to discover, challenged to think bigger, and supported to learn new things personally and professionally? Disney seeks an Analyst, BI Engineering specializing in YouTube data and analytics to join the Enterprise Research & Analytics team. The Brand Analytics team is a highly visible department that is charged with finding the best methods to understand consumer thoughts, feelings, and behaviors across digital and social channels. They play an integral part in aiding key business decisions for the Walt Disney Company, encompassing Corporate, Disney Entertainment and Disney Experiences through our core brands; Disney+, Hulu, Marvel, Lucasfilm, 20th Century Studios, Pixar, Disney Live Action, Walt Disney Animation, Disney Parks & Disney Cruise Line, and many more. You will join a dynamic group who are passionate about bringing the consumer voice into decision-making every day. You will play a crucial role in advancing the team's YouTube data and Business Intelligence capabilities by engineering data pipelines, analytical tools, software solutions, and scalable BI products that drive informed business decisions. You will contribute to YouTube analytics architecture, data integration and governance, vendor relationships, and UX/UI standards. This role requires hands-on technical fluency with YouTube’s APIs and reporting systems, as well as a passion for developing innovative solutions and optimizing data workflows. The role reports to the Manager, BI Engineering and is based in Burbank, CA. This role requires in-person collaboration from Monday to Thursday and remote work on Friday. You Will / Responsibilities: Design, build, and maintain analytical tools, data solutions, and software that enable existing analytics & marketing teams at The Walt Disney Company to scale their work, accelerate delivery, and create capacity for continued innovation Integrate and analyze YouTube-native data and reports from the YouTube API, YouTube Studio Analytics, Content Manager, and internal data lakes, alongside broader digital and social intelligence sources, to identify trends and understand consumer behaviors, expressed preferences, and responses to marketing efforts Develop YouTube analytics frameworks and BI products that translate evolving business questions into standardized data models, metrics, dashboards, and insights products; partnering closely with other Data Analytics and Business Intelligence team members Establish and maintain YouTube data governance, technical documentation, validation, and quality control assurance practices to ensure data accuracy, consistency and reliability Develop and maintain data visualization and UX/UI standards across dashboards and reports to ensure consistency and clarity across analytical products Maintain relationships with internal and external data, platform, and engineering partners, ensuring clear prioritization, resource alignment, and on‑time execution Deliver high‑quality and production-ready BI reporting and analytical products consistently and on time, while managing stakeholder expectations Deliver executive‑level data storytelling by translating complex YouTube datasets, performance metrics, and analytics outputs into clear, concise, and actionable insights for senior leadership Serve as the YouTube analytics expert and thought leader for Disney digital marketing team, bringing the voice of the consumer into decision-making through timely, relevant, and actionable quantitative and qualitative insights You Will Have / Required Qualifications: 3+ years of experience in business intelligence, analytics, or data engineering–adjacent roles, including research, social media, consumer data, and digital marke
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