Lead Data Analyst
$141.9k - $190.3kDisney Entertainment and ESPN Product & Technology Careers
Job Requirements Disney Entertainment and ESPN Product & Technology 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.
- Deep-Dive Research: Lead large-scale analyses of product performance and user behavior. Apply statistical modeling, experimentation, and causal inference to identify opportunities and influence product strategy.
- A/B Testing & Experimentation: Lead the design, analysis, and interpretation of personalization experiments, including power analysis, metric selection, SQL/Python analysis, and stakeholder recommendations.
- Analytics Foundations: Partner with product and data engineering teams to improve data quality, build scalable datasets, and instrument new product features for reliable analysis and reporting.
- AI-Enabled Analytics: Use and help advance AI-assisted tools and workflows to improve the speed, scale, and quality of analysis.
- Ad Hoc Analysis: Investigate product issues, analyze user behavior, and rapidly answer complex business and product questions using large datasets.
- Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Data Analytics, or another technical field
- 7+ years of data analytics experience, including 3+ years in a senior or lead-level capacity.
- Advanced SQL and Python skills, including complex analysis of large datasets, notebook-based workflows, and scheduled analytical jobs.
- Advanced knowledge of experimentation and statistical analysis, including hypothesis testing, power analysis, metric selection, regression, causal inference, test design, and interpretation.
- Product analytics experience, including user behavior, funnels, engagement, and feature performance.
- Experience building analyses, dashboards, and visualizations in Looker, Tableau, or a comparable BI platform.
- Proven ability to lead end-to-end analytical projects, define requirements, manage timelines, partner with data engineering, and deliver strategic outcomes.
- Strategic communication skills, with the ability to translate complex findings into clear recommendations for technical, business, and executive audiences.
- Experience building or applying AI-assisted analytics tools and workflows.
- Background in streaming media or subscription-based products
- Advanced knowledge of Looker
- Proven ability to manage projects that require new datasets, collaborating with data engineering teams to improve data quality and build foundational datasets for scalable analysis
- Master's degree in Statistics, Economics, Mathematics, Computer Science, Data Analytics, or another technical field
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DisclaimerPAY TRANSPARENCY
The hiring range for this position in Santa Monica, CA is $141,900 - $190,300 per year, in New York, NY is $148,700 - $199,400, and in San Francisco, CA is $155,400 - $208,400 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. This position is with Disney Entertainment & Sports LLC, which is part of a business we call Disney Entertainment and ESPN Product & Technology. To learn more about Disney's guidelines on the use of AI for candidates, click here. ( Disney Entertainment & Sports LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. DISABILITY ACCOMMODATION FOR EMPLOYMENT APPLICATIONS The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs ( . We will only respond to those requests that are related to the accessibility of the online application system due to a disability. Having technical issues? View the FAQs for help. ( Disney Entertainment and ESPN Product & Technology Careers$141.9k - $190.3k
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