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Disney Entertainment & ESPN Technology Logo

Sr Data Analyst

Disney Entertainment & ESPN Technology

$114,900 - $161,300
Aug 19, 2025
Santa Monica, CA, US
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Disney's Direct to Consumer Data team is seeking a Senior Data Analyst to partner with product teams, turning data into actionable insights to drive strategic business decisions and product development.

Requirements

  • excellent SQL, Python, or R skills for complex querying, advanced analysis, performance optimization, and working with data at scale
  • Demonstrated data visualization skills with tools like Tableau, Looker, QlikView, MicroStrategy, Plotly, etc.
  • Experience delivering end-to-end analytics projects: taking them from vague requirements, to an impactful story, accessible across diverse audiences, and ultimately to a clear business outcome

Responsibilities

  • Design, execute, and analyze A/B tests and other experiments to evaluate product changes, validate hypotheses, and provide clear, data-backed recommendations.
  • Explore user behavior and cohort trends to uncover actionable insights, identify friction points, and support personalization and engagement strategies.
  • Support both product and advertising initiatives by analyzing how users interact with features and ad experiences, helping to balance business goals with a seamless, user-first experience.
  • Build and maintain dashboards and self-serve tools that empower teams to monitor key metrics, track feature performance, and make data-informed decisions at scale.
  • Use SQL, Python or R, and tools like Tableau or Looker to work with large, complex datasets, cleaning, transforming, and analyzing data to uncover meaningful patterns.
  • Translate complex data into clear, compelling stories that resonate with a wide range of audiences, from technical stakeholders to executive leadership, helping to drive alignment and action.

Other

  • Partner with product teams to shape meaningful questions, define success metrics, and guide decision-making throughout the product development lifecycle, from early ideation to post-launch evaluation.
  • Take an iterative, insight-driven approach: starting with a hypothesis, refining it through data exploration, and using findings to inform future product decisions and opportunities.
  • Work closely with cross-functional partners in product, engineering, and design to ensure insights are aligned with team goals and integrated into the decision-making process.
  • Unbridled curiosity, high intellectual and analytical horsepower, and a passionate pursuit of analytics driven insights and business outcomes
  • Ability to build strong working relationships with teammates, business partners, and technical colleagues