Lead Data Analyst

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. 

Here are a few reasons why we think you’d love working here:

• Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
• Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. 
• Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Product Management is responsible for driving the overall user experience, feature strategies and concepts, and engagement paradigms for Disney Entertainment & ESPN's global portfolio of consumer-facing streaming and digital products – including Disney+, Hulu, ESPN, ABC, ABC News, Nat Geo, Marvel, and Star Wars.

Job Summary

The Disney Entertainment & ESPN Product & Technology team is seeking a Lead Product Data Analyst who excels in experimentation, advanced analytics, and data-driven strategy for digital news and entertainment products. In this pivotal role, you will partner with cross-functional teams—including Product, Engineering, Design, and Data Science—to enable robust experimentation (A/B and multivariate testing), develop actionable insights, and influence product direction. The ideal candidate is detail-oriented, communicates complex findings clearly, thrives in collaborative environments, and is passionate about advancing user experience and business outcomes through rigorous analysis and innovation.

Responsibilities

• Partner with Product Managers and cross-functional leaders to define strategic product goals, set measurable success metrics, and architect sophisticated experimentation strategies throughout the product lifecycle.
• Scope, design, and lead A/B and multivariate experiments, formulating robust hypotheses, employing advanced statistical methodologies, determining optimal sample sizes and segmentation, and establishing comprehensive measurement frameworks (including north stars, OKRs, and diagnostic metrics).
• Lead the development and documentation of test plans, data collection requirements, and experiment tracking processes; ensure integrity by cleaning and validating experimental and behavioral data for high analytical accuracy upon test completion.
• Forecast and quantify the business impact of new features and personalization initiatives—such as incremental revenue, engagement, and retention—while conducting deep-dive analyses to uncover actionable opportunities and shape product direction.
• Effectively communicate complex data and experiment results through advanced statistical techniques, compelling visualizations, and executive presentations, adapting insights for both technical and senior non-technical audiences.
• Design and maintain automated dashboards, scalable self-serve tools, and reports to monitor experiment outcomes and core business KPIs; proactively identify and resolve data gaps in partnership with Data and Engineering to improve data reliability and accessibility.
• Champion best practices in experimentation, data governance, and measurement, mentor junior analysts, and foster a culture of evidence-based decision making and continuous innovation across the organization.

Basic Qualifications

• Minimum 7 years of experience in product analytics, data science, business intelligence, or a related role, with a strong focus on experimentation and analytics for digital content, news, entertainment, or streaming products.
• Advanced proficiency with SQL and experience working with large, complex datasets.
• Strong skills in experimentation (A/B and multivariate testing), statistical inference, and experiment design.
• Proficiency with Python or R for analysis and modeling.
• Experience with data visualization tools (e.g., Tableau, Looker, Power BI) and analytics platforms (e.g., Optimizely, Amplitude, Google Optimize, Adobe Target).
• Proven ability to clean, manipulate, and analyze data; to translate technical findings into clear, actionable insights for diverse audiences; and to influence product decisions.
• Excellent communication, collaboration, and organizational skills.
• Passion for news, entertainment, or media, and a drive to enhance user experiences through data-driven experimentation and personalization.

Required Education  

• Bachelor's degree in Statistics, Data Science, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field from a four-year accredited college or university and/or equivalent work experience.

The hiring range for this position in New York, NY is $148,700 to $199,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.