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Disney’s Direct-to-Consumer Product & Tech Analytics team is seeking a Senior Data Analyst to join the Analytics Experimentation Center of Excellence (COE). Scale the product and technological development of streaming services under the Disney brand by collaborating with Product, Programming, Design, Advertising, Commerce & Growth, and many key organizations to measure performance through experimentation. The COE partners across the business to turn data into information, information into insights and insights into key business decisions that steer the strategic direction of the company. 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. You will be instrumental in leading the use of analytics as a critical value driver across our organization.
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 – including self-service analytics, tracking key initiatives, and measuring program performance
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, and make an impact across the business
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 for complex querying, advanced analysis, performance optimization, and working with data at scale
Experience working with python computational and visualization libraries like pandas, numpy, scikit-learn etc. (or analogous R libraries)
Demonstrated data visualization skills with tools like Tableau, Power BI, Looker, Matplotlib, Plotly, etc.
Experience delivering end-to-end analytics projects: taking them from vague requirements, to an impactful story, accessible across diverse audiences, and ultimately to a clear business outcome
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
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