Sr Data Analyst
The Advanced Measurement and Strategic Analytics Team uses data, statistical modeling/techniques, experimentation frameworks, and other tools to help our stakeholders make informed, data-driven decisions to continue driving the Disney's Direct-to-Consumer Marketing strategy and growth. With our work, we aim to investigate end-to-end marketing trends and subscriber behaviors for global strategy, product, and promotional efforts across services including Bundle offerings, lifecycle, and first-party properties. 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 Marketing strategy and 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 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, 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
Basic Qualifications
- Bachelor's degree in Data Analytics, Mathematics, Statistics, or related degree
- 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. Causal inference and propensity score matching experience a plus
- 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.
- 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
#DisneyAnalytics