MINIMUM QUALIFICATIONS

• Exceptional curiosity and analytical skills, focusing on insights that drive business outcomes.
• 3+ years of experience as an analyst utilizing advanced SQL skills
• Bachelor’s degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related field
• Skilled in data visualization tools such as Tableau, Looker, Matplotlib, MicroStrategy, or Plotly.
• Strong ability to manage end-to-end analytics projects, from initial requirements to impactful results.
• Excellent written and verbal communication skills and building relationships with teammates, business partners, and technical colleagues.
• Comfortable navigating ambiguity in a fast-paced environment. Highly motivated and capable of working independently.
• Experienced in A/B testing methodologies for digital products.

PREFERRED QUALIFICATIONS

• Background in streaming media or subscription-based products.
• Experience with analytics for application-based products.
• Familiarity with the tech Industry.
• A Master’s degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related field
• Experience with Python or R for complex querying and analysis.

ABOUT THE ROLE & TEAM

Join Disney’s Content Security Fraud and Paid Sharing Analytics team as a Data Analyst. You will be a key player in enhancing the security features of Disney’s streaming services, including Disney+, Hulu, and ESPN+. This role involves serving product, engineering, and business strategy partners through comprehensive data analysis and insight generation. You will collaborate closely with data engineering to tackle data challenges and advance our content security practices and 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 content security features and enhancements.