The Advanced Measurement and Strategic Analytics Team at Disney is looking to solve complex business problems related to driving the Direct-to-Consumer Marketing strategy and growth by using data, statistical modeling, and experimentation frameworks to inform stakeholders' decisions.
Requirements
- 5+ years of hands-on analytical work experience with R/Python/SAS (or another statistical analysis tool) and SQL
- Extensive, proven work 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
- Expertise 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.
- Causal inference and propensity score matching experience a plus
- Experience in the streaming media industry or other subscription-based service
Responsibilities
- Work closely with stakeholders to define the most pressing business questions on Marketing growth 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 Disney’s Direct-to-Consumer Marketing strategy and growth
- Partner with other Analytics teams to understand and harness all available marketing and subscriber data from disparate sources, uniting insights into a cohesive, actionable story
Other
- Bachelor’s degree in Data Analytics, Mathematics, Statistics, or related degree
- 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
- Experience working with Marketing teams or in the Marketing landscape
