Senior Data Analyst - Disney : Job Details

Job ID: 10114525

Location: Santa Monica, California, United States / New York, New York, United States

Business: Disney Direct to Consumer

Date posted: Mar. 06, 2025

ABOUT DIRECT TO CONSUMER

Disney's Direct-to-Consumer Product & Tech Analytics team is seeking a Senior Data Analyst to join the Analytics Experimentation Center of Excellence (COE). The right person for this role thrives in a fast-paced environment, loves problem-solving and is a good communicator. If you are someone who gains personal happiness from transforming data into knowledge for business insights, then this is a phenomenal role for you.

You will design innovative analytic approaches to test hypotheses, extract actionable insights by identifying patterns in structured and unstructured data, and develop recommendations to drive business performance.

Responsibilities

• Support the analysis and recommendations of A/B and multivariate experiments on Disney+ and Hulu by collecting data, analyzing results, and reporting findings.
• Build multi-functional reporting that provides critical support to the operations and decision-making of the organization through experimentation.
• Advance the capabilities of the business with high-impact analysis and data visualizations, collaborate in the design of diagnostic solutions, and deliver outstanding insights and products to drive business strategy across partner teams.
• Use internal and external analytics, data visualization tools, SQL, and scripting languages to access and analyze multivariate data to understand subscriber behaviors/value.
• Provide analytics expertise to key business partners regarding data & analytics questions, communicating insights to domain experts and executives alike.

Basic Qualifications

• Unbridled curiosity, high intellectual and analytical horsepower, and a passionate pursuit of analytics driven insights and business outcomes.
• Thorough understanding of statistical methods and topics, such as hypothesis testing, power functions, type I & II errors, central limit theorem, t-tests, regression analysis.
• A bachelor's degree in Economics, Statistics, Analytics, Computer Science, MIS or related field.
• 5+ years of experience as an analyst in a data and analytics domain with excellent SQL, Python, or R skills.
• Experience working with python computational and visualization libraries like pandas, numpy, scikit-learn, etc.
• Demonstrated data visualization skills with tools like Tableau, Power BI, Looker, Matplotlib, Plotly, etc.
• Experience delivering end-to-end analytics projects.
• Ability to build strong working relationships with teammates, business partners, and technical colleagues.
• Ability to work independently with outstanding written and oral communication skills.
• Strong motivation and a growth mindset.

Preferred Qualifications

• Excited about learning and coaching skill development in others.
• Delivers compelling narratives with strong presentation skills.
• Ability to identify and appropriately call out issues to leadership.
• Consulting background, MBA, or other multi-industry experience.
• Sense of humor.
• Unique passions or areas of interest that influence the way you interact with others and/or do your job.

Compensation: The hiring range for this position in Santa Monica, CA is $114,900 to $154,100, and in New York, NY is $120,300 to $161,300 per year.

Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere.

The Walt Disney Company is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences.

Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law.