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
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 recovery, 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
Skills
Data Analytics
Churn Analytics
Commerce Experimentation
Data Science
Experimentation
Data Storytelling
Analytical Frameworks
A/B Testing
Stakeholder Management
Leadership
The Walt Disney Company
Leading producers & providers of entertainment and information