Sr Data Analyst at Disney Direct to Consumer
New York, New York, USA -
Full Time


Start Date

Immediate

Expiry Date

15 Jul, 25

Salary

161300.0

Posted On

16 Apr, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, R, Matplotlib, Statistics, Microstrategy, Computer Science, Mathematics, Tableau, Looker, Sql, Economics, Analytical Skills, Finance

Industry

Information Technology/IT

Description

KEY QUALIFICATIONS

  • 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.
  • Experience with A/B testing methodologies for digital products.
  • Highly motivated and capable of working independently.

REQUIRED EDUCATION

  • A Bachelor’s degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or related field
Responsibilities

ABOUT THE ROLE & TEAM

Join Disney’s Platform Analytics team as a Senior Data Analyst. You will be a key player in improving and measuring the performance 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 the quality aspects of our products.

WHAT YOU’LL DO

  • 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 required for analysis.
  • Present insights effectively using data visualization tools or oral presentations.
  • Design and execute A/B testing to evaluate quality performance and enhancements.
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