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Job Posting Title: Director, Data Analytics - Commerce & Churn Req ID: 10131495 Job Description: About The Role The Data Intelligence & Analytics (DnA) team sits at the heart of The Walt Disney Company’s streaming ecosystem—driving business decisions for Disney+, Hulu, and ESPN through analytics, data science, and experimentation. The Direct-to-Consumer (DTC) Streaming Analytics vertical within DnA is seeking a Director to lead our Commerce Experimentation and Churn Analytics teams which help our business understand and identify opportunities to mitigate both voluntary and involuntary subscriber churn. In this role you will lead and inspire a high-performing team and help foster a culture of collaboration, curiosity, and impact. This highly visible position requires the ability to distill complex data into clear, compelling narratives and strategic insights and will partner closely with business teams across the Disney Entertainment and Product & Technology businesses. Responsibilities Become an expert in understanding subscriber churn partnering with business stakeholders from Finance, Business Operations, Strategy, Marketing, and Product to measure, track, and understand drivers and trends of both voluntary and involuntary churn. Work closely with Commerce Product partners to design and run experiments intended to drive subscriber growth and mitigate churn through the launching of new global payment methods, optimizing payment redovery, and identifying and mitigating subscriber fraud. Lead, develop, and inspire a high-performing team of analytics professionals within the DnA organization. Build strong relationships with cross-functional stakeholders and executive leadership to influence decisions through data-driven storytelling. Shape and prioritize team roadmaps ensuring alignment with business goals. Develop analytical frameworks to understand business trends and unlock new insights that will drive business strategy and decision-making. Conduct and oversee deep-dive analyses to understand drivers of key business metrics. Synthesize complex data into actionable insights and communicate findings clearly and effectively to technical and non-technical audiences. Required Qualifications Bachelor’s degree in Business Analytics, Data Science, Statistics, Economics, Mathematics, or related quantitative field. 12+ years of experience in analytics or data science roles, with at least 5 years leading high-performing teams. Proven expertise in SQL and hands-on experience with data visualization and reporting tools such as Tableau or Looker. Strong business acumen and experience applying analytics to support business strategy, user growth, retention, and product performance—preferably in media. Demonstrated experience in designing, implementing, and measuring the impact of A/B tests and a familiarity with statistical modeling concepts and predictive analytics. Exceptional communication skills with a demonstrated ability to present complex analyses and influence senior leadership through compelling storytelling. Collaborative, intellectually curious, and results-oriented, with a strong ability to translate business needs into scalable, data-driven solutions. Proven success operating in dynamic, matrixed organizations with multiple stakeholders and priorities. Desired Qualifications Experience in the streaming media industry and/or supporting a direct-to-consumer or subscription-based product Experience working in the global billing, payments, and/or fraud domains. Familiarity with using programming languages such as Python or R for statistical modeling. Experience with ML techniques and proficiency with statistical analysis tools such as Python, R, Weka, or similar platforms. Additional Information #DISNEYTECH #DISNEYAnalytics The hiring range for this position in Santa Monica and Los Angeles, CA is $184,300-$247,100 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. Job Posting Segment: Direct to Consumer Job Posting Primary Business: DTC Analytics and Data Science Primary Job Posting Category: Tech Data Analytics Employment Type: Full time Primary City, State, Region, Postal Code: Santa Monica, CA, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-09-19 Learn more about us.