Growth Data Scientist/Analyst
Crypto.com
PythonSQLTableau
Director, Data Analytics – Commerce & Churn
The Walt Disney Company
full-time
Posted on:
Origin: • 🇺🇸 United States • California
Visit company websiteSalary
💰 $184,300 - $247,100 per year
Job Level
Lead
Tech Stack
PythonSQLTableau
About the role
- 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.
Requirements
- 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.
- Experience in the streaming media industry and/or supporting a direct-to-consumer or subscription-based product (desired).
- Experience working in the global billing, payments, and/or fraud domains. (desired).
- Familiarity with using programming languages such as Python or R for statistical modeling. (desired).
- Experience with ML techniques and proficiency with statistical analysis tools such as Python, R, Weka, or similar platforms. (desired).
