Senior Data Analyst
Jetzt bewerben Später bewerben Job ID 10138902 Standort New York City, New York, USA / Santa Monica, Kalifornien, USA Veröffentlichungsdatum 17/12/2025 Unternehmen Disney Direct to ConsumerJob-Zusammenfassung:
SUMMARY
The Direct to Consumer Data & Analytics organization is seeking a Sr. Data Analyst who will be an exceptional addition to our Strategic Forecasting & Decision Analytics team. As Sr. Data Analyst, you will join our team that applies analytical rigor to optimize strategic decisions based on decision and data science principles. This role would focus on Analytics Engineering, with emphasis on efficiency and query optimization while helping grow products that streamline 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
Use your indepth knowledge of code efficiency, optimization and refinement to help streamline our complex statistical model products that predict future slate content engagement and lifetime value of new and existing subscribers
Apply advanced analytical engineering techniques focusing on QA analysis, efficiency and code optimization and productionalization to large-scale, high-dimensional data models in order to inform global business decisions
Streamline and enhance 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 support the inform global business decisions
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
Effectively communicate actionable results through compelling data storytelling across the organization
Design, build, and maintain scalable data pipelines that transform raw data into reliable, analytics-ready datasets
Automate data workflows and operational processes using Python to improve reliability, reduce manual effort, and enable faster delivery of insights.
WHAT TO BRING
Bachelor’s degree in Data Science, Engineering, Mathematics, Statistics, Operations Research, Computer Science, Applied Economics or related quantitative field
5+ years of analytical and QA experience
5+ years of experience developing and making efficient and productionalized 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 working with modern data pipeline and orchestration tools such as dbt, Airflow, or similar technologies
Experience engineering, deploying, and maintaining data solutions using technologies like Databricks, S3, and Spark
NICE-TO-HAVES
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
The hiring range for this position in Santa Monica, CA is $114,900 to $154,100 per year, and in New York City, NY is $120,300 to $161,300. 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.