Disney's Direct-to-Consumer (DTC) Product & Tech Analytics team is seeking a Lead Data Analyst to optimize user behavior across commerce and identity initiatives by designing and delivering insights on conversion and activation journeys.
Requirements
- Proven expertise in independently designing, executing, and interpreting A/B tests.
- Advanced SQL skills, with the ability to manipulate, cohort, and transform large datasets effectively.
- Strong proficiency in data visualization tools (e.g., Tableau, Looker) and the ability to communicate insights through compelling storytelling.
- Familiarity with statistical tools (e.g., R, Python) and data warehousing concepts.
- 7+ years of experience in data analytics, business intelligence, or a related discipline.
- A demonstrated ability to solve complex, ambiguous business problems with minimal guidance.
- Exceptional communication and presentation skills, with experience delivering insights to stakeholders at all levels.
Responsibilities
- Independently analyze user journey data to uncover actionable insights and drive improvements to the Disney+, Hulu and ESPN commerce and identity flows.
- Design, implement, and analyze A/B tests focused on sign-up, add-ons, and activation configurations, feature implementations, and engagement strategies, ensuring data integrity and actionable outcomes.
- Create dashboards and advanced reports using tools like Looker and Tableau to track performance, trends, and experimentation outcomes.
- Provide guidance and best practices to junior analysts on topics such as data and pipeline enablement, experimentation and dashboard development.
- Champion the creation and maintenance of clear analytics documentation and further establish stakeholder communication standards and practices.
- Take full ownership of analytics projects, from identifying business needs and formulating hypotheses to delivering polished insights and recommendations.
- Act as a key partner to Product, Tech, Marketing, and other teams to align analytics initiatives with overarching business strategies.
Other
- Bachelor’s degree in Analytics, Mathematics, Statistics, Computer Science, or a related field.
- Close collaboration with partners in product, operations, and data engineering teams.
- Consistent leadership in driving complex projects from start to finish.
- Presentation of actionable commerce insights while balancing business goals.
- Ability to identify and appropriately call out issues to leadership
