Sr Data Analyst at Disney Direct to Consumer

ABOUT THE ROLE

The Direct to Consumer Data & Analytics organization is seeking a Senior Decision Analyst who will be an exceptional addition to our Strategic Forecasting & Decision Analytics team. As Sr. Decision Analyst, you will join our team that applies analytical rigor 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. The right person for this role has exceptional analytical capabilities, thrives in a fast-paced environment, loves problem-solving, is a strong communicator, and is passionate about television and film. We are searching for someone who gains personal satisfaction from utilizing data to drive business decisions and is eager to learn. 

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 

• Support complex projects, workstreams, and new initiatives & capabilities. This includes scoping out the breadth & depth of a project, helping manage the time & resources available, adapting plans to meet evolving needs and operational challenges, and representing the product with business partners and executive leadership 

• Maintain relationships with stakeholders while understanding their needs and providing them with rapid and robust solutions to their requests 

• Provide ad-hoc analysis support for stakeholders to help move the business forward 

• Effectively communicate actionable results through compelling data storytelling across the organization 

Basic Qualifications

• Bachelor’s degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science, Applied Economics or related quantitative field 

• 5+ years of analytical experience  

• 5+ years of experience developing machine learning models and performing data analysis with Python and/or R 

• 5+ years of experience querying cloud-hosted databases with SQL 

• Experience with statistical analysis and machine learning techniques: time-series forecasting, causal inference, regression, decision trees, clustering, etc. 

• Demonstrated ability to work independently and apply creativity in solving open-ended problems 

• Outstanding data storytelling skills through verbal, written, and visual communication 

• Familiarity with data exploration and data visualization tools such as Looker, Tableau, or JupyterLab/Notebook 

• Ability to explain how models are used and how algorithms behave to both technical and non-technical audiences 

• Experience engineering, deploying, and maintaining data solutions using technologies like Databricks, S3, and Spark 

Preferred Qualifications

• Master of Science degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science, Applied Economics or related quantitative field 

• A passion for media and entertainment 

ADDITIONAL INFORMATION

#DISNEYTECH

The hiring range for this position in Santa Monica, CA is $114,900 to $154,100 per year, in New York, NY is $120,300 to $161,300 per year, and in San Francisco, CA is $125,800 to $168,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.