The Direct to Consumer Data & Analytics organization is seeking a Decision Analyst to optimize strategic decisions based on decision and data science principles. Projects include strategic decision support, content portfolio management, merchandising, acquisition & licensing, release strategy optimization, and churn & subscriber health.
Requirements
- 3+ years of experience in analytics, machine learning model development, and data analysis using Python and/or R.
- Proficient in querying cloud-hosted databases with SQL and engineering data solutions using technologies like Databricks, S3, and Spark.
- Applied expertise in observational causal inference methods (e.g., difference-in-difference, propensity score matching) for non-experimental settings.
- Skilled in statistical and machine learning techniques including time-series forecasting, regression, decision trees, and clustering.
- Strong data storytelling abilities across verbal, written, and visual formats.
- Effective communicator with both technical and non-technical audiences, capable of explaining model behavior and algorithmic decisions.
- Familiar with data exploration and visualization tools such as Looker, Tableau, and JupyterLab/Notebook.
Responsibilities
- Apply advanced analytics techniques (data mining, data visualization, statistical analysis, causal inference, regression, machine learning, time-series forecasting) to large-scale, high-dimensional data in order to inform global business decisions
- Analyze customer behavior (e.g., genre preferences, viewing patterns) to identify unmet customer needs and untapped content opportunities
- Use advanced causal inference methodologies to quantify engagement and overall impact of sharing title licenses with internal and external platforms
- Predict content engagement to help guide acquisition decisions
- Optimize our content launch and episode release strategy
- Test merchandising strategies to optimize engagement and retention
- Ideate and develop new metrics and KPIs, measuring content performance, engagement and churn for strategic decision-making
Other
- Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Applied Economics, or a related field.
- Demonstrated independence and creativity in solving open-ended problems.
- A passion for media and entertainment
- Master of Science degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science, Applied Economics or related field
