Associate Data Analyst

About The Role

The Bundle and Lifecycle Analytics, Data & Experimentation Team uses data, statistical modeling/techniques, experimentation frameworks, and other tools to help our stakeholders make informed, data-driven decisions to continue driving the US Disney Bundle and Lifecycle marketing growth. With our work, we aim to give an understanding of Bundle and Lifecycle marketing trends, subscribers, and user behavior end-to-end by providing support across analytics and experimentation. In this role, the senior analyst within the Advanced Analytics sub-team will work closely with Marketing, Product, Data Science, Data Solutions, and other teams to not only provide high-visibility, in-depth insights on Bundle and Lifecycle marketing growth, but will become a true thought partner to our stakeholders, helping to craft strategy. The ideal candidate has a passion for using advanced analytics, including modeling, to solve complex business problems. 

Responsibilities 

• Work closely with stakeholders to define the most pressing business questions on Bundle and Lifecycle marketing trends and drivers and build analytical frameworks to answer these questions 

• Help to craft an ongoing experimentation program, including hypothesis formulation, experimental design, significance-setting, and post-experiment analysis 

• Perform holistic campaign lift analyses with causal-inference techniques and by developing novel approaches; identify and measure drivers of growth-tactic success; present findings to stakeholders and senior management 

• Define and analyze audience segments to continue driving Bundle and Lifecycle marketing growth 

• Partner with other Analytics teams to understand and harness all available Bundle and Lifecycle marketing data from disparate sources, uniting insights into a cohesive, actionable story 

Basic Qualifications 

• Bachelor’s degree in Data Analytics, Mathematics, Statistics, or related degree 

• Hands-on analytical work experience with SQL/Python/R (or another statistical analysis tool) 

• Experience with statistical modeling, machine learning, and other quantitative approaches, including but not limited to in-depth knowledge of linear and logistic regression, significance testing, data preparation for modeling, and segmentation techniques. Causal inference and propensity score matching experience is a plus 

• Experience manipulating large data sets, interpreting data trends, and using a multitude of disparate data sources and tools 

• Experience with creating, executing, and analyzing complex AB/MVT test constructs to test stakeholder hypotheses 

• Experience with data visualization tools such as Tableau, Looker, etc. 

• Strong analytical skills with the ability to apply business strategy to data analysis and recommendations 

• Strong presentation skills, including the abilities to tell a story with data and to synthesize findings into actionable recommendations 

• Ability to think strategically, analyze and interpret market and consumer information 

Preferred Qualifications 

• Experience in the streaming media industry or other subscription-based service 

• Experience working with Marketing teams or in the Marketing landscape 

Additional Information

#DISNEYTECH