Data Analyst - Observational Causal Inference
応募 後で応募 Job ID 10129582 勤務地－都市 サンタモニカ, カリフォルニア州, アメリカ合衆国 / グレンデール, カリフォルニア州, アメリカ合衆国 / サンフランシスコ, カリフォルニア州, アメリカ合衆国 / ニューヨーク, ニューヨーク州, アメリカ合衆国 勤務地－国 Disney Direct to Consumer 掲載日 2025/09/02仕事内容:
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.
Disney Direct to Consumer について:
Disney’s Direct to Consumerチームは、Disney Entertainment内のHuluとDisney+のストリーミング事業を統括し、The Walt Disney Companyのクラス最高のストーリーテリングを世界中のファンや家族に届けています。
The Walt Disney Company について:
The Walt Disney Companyは、その子会社・関連会社とともに、多様性あふれる国際企業として、Disney Entertainment、ESPN、Disney Experiencesの3事業を柱に、ファミリー向けエンターテインメントとメディアの世界をけん引しています。1920年代に小さなアニメ・スタジオとしてスタートしたDisneyは、今日のエンターテインメント業界において卓越した存在となりました。ディズニーは今後も、子供から大人まで、ご家族のだれもが楽しめる一流の物語や体験を生み出し続けます。Disneyのストーリーやキャラクター、体験は、世界中のあらゆる場所の消費者やお客様に届けられています。当社は40カ国以上で、従業員とキャストメンバーが一丸となり、世界的にも地域的にも歓迎されるエンターテインメント体験を創出しています。
このポジションは Disney Streaming Services LLC という事業部門の一つである Disney Direct to Consumerでのお仕事です。
Disney Streaming Services LLC は機会均等雇用主です。応募者は、人種、宗教、肌の色、性別、性的指向、ジェンダー、性自認、性表現、国籍、家柄、年齢、配偶者の有無、軍役経験の有無やその地位、健康状態、遺伝情報や障がい、または連邦法や州法、地方法で禁止されているその他の法的根拠に関係なく、雇用の検討対象となります。Disneyは、すべての人々のアイデアと決断が、成長、革新、最高のストーリーの創造に役立ち、絶えず進化する世界において、価値ある存在になれるよう支援するビジネス環境を支持します。