Lead Data Analyst, Product & Engagement

Disney Entertainment and ESPN Product & Technology (DEEPT) is seeking a highly skilled and self-driven Lead Data Analyst
- Product Performance & Engagement to join the Product & Tech Analytics team. This role is ideal for a strategic thinker with a deep analytical background who can independently design, execute, and deliver impactful insights that optimize Disney Streaming products (D+, Hulu). This role will be a generalist across all areas of Product, Content, Subscriber, Messaging and Churn spaces. You will be part of a multidisciplinary team of analysts and analytical engineers responsible for assessing and improving browse telemetry data quality and producing high-impact analysis of streaming product performance across Hulu and Disney+.

Working cross-functionally with Product, Engineering, Data Engineering, and Analytics partners, you will help develop scalable solutions, ensure metric consistency, and uncover the “why” behind key product trends and anomalies.

• Own User Behavior Analysis:
  Independently analyze user navigation and pathing data to uncover actionable insights and drive improvements to the Hulu user experience.
• Forensics & Root Cause Analysis:
  Drive rapid-response investigations and anomaly detection efforts to diagnose data or product issues and guide timely remediation.
• Drive Strategic Optimization:
  Develop and present recommendations for optimizing experiences, balancing business goals with user satisfaction.
• Collaborate Cross-Functionally:
  Act as a key partner to Product, Tech, Data Engineering and Data Product, and other teams to align analytics initiatives with overarching business strategies.
• Lead End-to-End Projects:
  Take full ownership of analytics projects, from identifying business needs and formulating hypotheses to delivering polished insights and recommendations.
• Build Data Visualizations:
  Create dashboards and advanced reports using tools like Tableau and Looker to track performance, trends, and experimentation outcomes.

• Bachelor’s degree in Analytics, Mathematics, Statistics, Computer Science, or a related field.
• 7+ years of experience in data analytics, business intelligence, or a related discipline.
• Strong conceptual understanding of statistical theory, including hypothesis testing, probability distributions, sampling error, and confounding variables; ability to ensure that data collection and analytical frameworks adhere to sound statistical principles.
• Advanced SQL skills, with the ability to manipulate, cohort, and transform large datasets effectively.
• Exceptional communication and presentation skills, with experience delivering insights to stakeholders at all levels.
• A demonstrated ability to solve complex, ambiguous business problems with minimal guidance.
• Strong proficiency in data visualization tools (e.g., Tableau, Looker) and the ability to communicate insights through compelling storytelling.
• Expertise with statistical tools (e.g., R, Python) and data warehousing concepts.
• Comfortable leveraging AI in analytics use cases
• Experience with one or more analytics areas in the streaming space, e.g. Product, Content, Subscriber, Messaging and Churn

• Advanced degree in Analytics, Mathematics, Statistics, Computer Science, or a related field.
• Ability to identify and appropriately call out issues to leadership
• Strong motivation and ability to learn from questions and experiences

• #TECHATDISNEY #DISNEY ANALYTICS
• The hiring range for this position in Santa Monica, CA is $141,900 - $190,300 per year and in New York, NY is $148,700 - $199,400 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.
• Job Posting Segment:
  Product Engineering
• Job Posting Primary Business: PE
  - Product and Technology Analytics
• 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: USA - NY - 7 Hudson Square
• Date Posted:
• Learn more about us.