<p>Job Summary:</p> <p>About Direct To Consumer</p> <p>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.</p> <p>What You'll Do</p> <ul> <li> <p>Convert ambiguous stakeholder queries from Product, Engineering, Business Strategy, Marketing, etc., into structured data requirements and analyses.</p> </li><li> <p>Provide actionable, data-driven recommendations to stakeholders through detailed analysis.</p> </li><li> <p>Utilize SQL and scripting languages to analyze both structured and unstructured data.</p> </li><li> <p>Collaborate with data engineers to ensure the accuracy and quality of data required for analysis.</p> </li><li> <p>Present insights effectively using data visualization tools or oral presentations.</p> </li><li> <p>Design and execute A/B testing to evaluate content security features and enhancements.</p> </li></ul> <p>Key Qualifications</p> <ul> <li> <p>Exceptional curiosity and analytical skills, focusing on insights that drive business outcomes.</p> </li><li> <p>3+ years of experience as an data analyst, with advanced proficiency in SQL and Basic proficiency in Python</p> </li><li> <p>Skilled in data visualization tools such as Tableau, Looker or MicroStrategy.</p> </li><li> <p>Experienced in A/B testing methodologies for digital products.</p> </li><li> <p>Strong ability to manage end-to-end analytics projects, from initial requirements to impactful results.</p> </li><li> <p>Excellent at building relationships with teammates, business partners, and technical colleagues.</p> </li><li> <p>Highly motivated and capable of working independently.</p> </li></ul> <p>Required Education</p> <ul> <li>A Bachelor's degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related field </li></ul> <p>Nice To Haves</p> <ul> <li> <p>Background in streaming media or subscription-based products.</p> </li><li> <p>Experience with analytics for application-based products.</p> </li><li> <p>Familiarity with the tech Industry.</p> </li><li> <p>A Master's degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related field</p> </li></ul> <p>Additional Information</p> <p>#DISNEYTECH</p> <p>#DisneyAnalytics</p>