Job Location : New York,NY, USA
The Direct to Consumer Data & Analytics organization is seeking a Decision Analyst who will be an exceptional addition to our Strategic Forecasting & Decision Analytics team. As 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.
WHAT YOU'LL DO
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
WHAT TO BRING
Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, Applied Economics, or a related field.
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.
Demonstrated independence and creativity in solving open-ended problems.
NICE-TO-HAVES
Master of Science degree in Data Science, Mathematics, Statistics, Operations Research, Computer Science, Applied Economics or related field
A passion for media and entertainment
Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere.
About The Walt Disney Company:The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Disney Streaming Services LLC , which is part of a business we call Disney Direct to Consumer .
Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs . We will only respond to those requests that are related to the accessibility of the online application system due to a disability.
Sign up to receive new job alerts and company information based on your preferences.
Specify Locations
Specify Locations Select a job category from the list of options. Select a location from the list of options. Finally, click “Add” to create your job alert.
Job Category
Location
Job Level