Data Analyst - Observational Causal Inference
Jetzt bewerben Später bewerben Job ID 10129582 Standort Santa Monica, Kalifornien, USA / Glendale, Kalifornien, USA / San Francisco, Kalifornien, USA / New York City, New York, USA Veröffentlichungsdatum 02/09/2025 Unternehmen Disney Direct to ConsumerJob-Zusammenfassung:
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
The hiring range for this position in New York, NY is $99,900 to $133,900 per year. Santa Monica, CA and Glendale, CA is $95,300 to $127,800 per year, San Francisco, CA is $104,400 to $140,000 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.
Über Disney Direct to Consumer:
Das Direct to Consumer Team von Disney leitet die Streaming-Geschäfte von Hulu und Disney+ innerhalb von Disney Entertainment und trägt dazu bei, die erstklassigen Geschichten von The Walt Disney Company für Fans und Familien weltweit verfügbar zu machen.
Über The Walt Disney Company:
Die Walt Disney Company ist zusammen mit ihren Tochtergesellschaften und verbundenen Unternehmen ein führendes, diversifiziertes internationales Familienunterhaltungs- und Medienunternehmen mit folgenden Geschäftsbereichen: Disney Entertainment, ESPN sowie Disney Experiences. Von seinen bescheidenen Anfängen als Zeichentrickfilmstudio in den 1920er Jahren bis zu seiner aktuellen Vorreiterrolle in der Unterhaltungsindustrie trägt Disney stolz sein Erbe weiter und bietet Geschichten und Erlebnisse von Weltklasse, die alle Familienmitglieder bezaubern. Disneys Geschichten, Figuren und Abenteuer erreichen Verbraucher und Gäste aus allen Teilen der Welt. Gemeinsam schaffen unsere Mitarbeiter und Darsteller aus Niederlassungen in über 40 Ländern der Welt Unterhaltungserlebnisse, die sowohl auf globaler Ebene als auch im heimischen Umfeld begeistern.
Diese Position ist bei Disney Streaming Services LLC, das Teil eines Geschäftssegments ist, das wir Disney Direct to Consumer nennen.
Disney Streaming Services LLC bietet als Arbeitgeber Chancengleichheit. Die Beurteilung der Möglichkeit der Beschäftigung von Bewerbern erfolgt unabhängig von ethnischer Zugehörigkeit, Religion, Hautfarbe, Geschlecht, sexueller Orientierung, Geschlechtsidentität, Geschlechtsausdruck, nationaler Herkunft, Abstammung, Alter, Familienstand, militärischem Status oder Veteranenstatus, Gesundheitszustand, genetischen Informationen oder einer Behinderung, oder anderer gemäß Bundes-, Landes- oder örtlichem Gesetz verbotener Merkmale. Disney fördert eine Unternehmenskultur, in der Ideen und Entscheidungen aller Personen uns dabei helfen, zu wachsen, innovativ zu sein, die besten Geschichten zu schreiben und in einer sich ständig weiterentwickelnden Welt von Bedeutung zu sein.