Sr Data Analyst

The Walt Disney Company • Santa Monica, CA

4h • $117,500 - $165,000

About The Position

Join Disney’s Platform Analytics team as a Senior Data Analyst focusing on Identity Analytics. You will be a key player in improving and building foundational datasets of Disney’s streaming services, including Disney+, Hulu, and ESPN+. This role involves working with product, engineering, and business strategy partners through comprehensive data analysis and insight generation. You will collaborate closely with data engineering and product management to tackle data challenges and improve insights into servi ces all across the WDC.

Requirements

• Exceptional curiosity, analytical skills, and a drive for insights that impact business outcomes.
• 5+ years of experience as an analyst with proficiency in SQL, Python or R for complex querying and analysis.
• Proficiency with tools such as Matplotlib, Tableau, Looker, MicroStrategy, Plotly or Databricks.
• Proven ability to manage end-to-end analytical projects from documenting requirements to delivering meaningful impact.
• Strong ability to build relationships with teammates, business partners, and technical colleagues.
• Highly motivated and capable of working independently.
• A Bachelor’s or Master’s degree in Engineering , Computer Science, Statistics, Economics, Mathematics, Finance, or related field

Nice To Haves

• Background in streaming media or subscription-based products.
• Experience with analytics for user funnel and user behaviors.
• Familiarity with identity services and streaming technology.

Responsibilities

• Convert ambiguous stakeholder queries from Product, Engineering, Business Strategy, Marketing, etc., into structured data requirements and analyses.
• Provide actionable, data-driven recommendations to stakeholders through detailed analysis.
• Utilize SQL and scripting languages to analyze both structured and unstructured data.
• Collaborate with data engineers to ensure the accuracy and quality of data for analysis.
• Present insights effectively using data visualization tools or oral presentations.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level