About The Role & Team

　　The Subscriber Lifecycle Analytics team is looking for a Manager to lead the Commerce Analytics function supporting a growing ecosystem of Disney’s streaming service offerings (Disney+, Hulu, ESPN+). The broader Subscriber Lifecycle Analytics function partners closely with operational business teams to measure, understand, and take action to mitigate churn at key moments across the subscriber lifecycle with the Commerce Analytics team focused on payment failure-driven churn. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations. This team collaborates cross-functionally across the Direct to Consumer organization as well as with stakeholders from business units across The Walt Disney Company to generate insightful, compelling, and strategic analysis and plans. This role will build strong relationships and partner closely with Product, Business Operations, Engineering, Analytics, and Data Science teams to execute on innovative methods and best-in-class practices that power all of our improvements. The team’s work will drive the development of business and operational plans that are expected to have broad influence at all levels of the organization.

　　What You'll Do

　　Provide leadership and set strategic vision and direction for the Commerce Analytics team focused on billing, payments, and fraud

　　Manage relationship with stakeholders across the business, including but not limited to the Commerce Product and Engineering organizations

　　Partner closely with business stakeholders to develop short and long-term product roadmaps based on rigorous analytics

　　Lead A/B testing and experimentation analysis and support key business-critical product launches ensuring commerce flows and product features are optimized and functioning as expected

　　Support in day-to-day business operations through quick analytics and anomaly

　　Develop and maintain core business logic, data pipelines, and key metrics for measuring health of the billing, payment, and fraud products across Disney+, Hulu, and ESPN+ Oversee the development of operational dashboards in Looker and Tableau to understand performance over time, enable efficient exploratory analysis, and equip partners with self-serve tools

　　Drive team development through coaching, mentoring, training, and leadership growth

　　Key Qualifications

　　8+ years of relevant data analytics experience including domain expertise in the areas of commerce, billing, payments, and fraud

　　3+ years of experience managing teams of analysts

　　Proven track record of building and leading teams of analysts, data scientists, and data engineers

　　Extremely skilled at simplifying complex problems, distilling data, and constructing compelling narratives to guide decision making

　　Excellent relationship building and communication skills with all levels of the organization, from junior analysts to C-suite leaders

　　Expertise working with extremely large, disparate data sets and using SQL for data wrangling, designing ETLs, and analysis

　　Experience manipulating large data sets and interpreting data trends using a multitude of disparate data sources and tools

　　Experience building and scaling experimentation programs

　　Fluent in data exploration and visualization tools such as Looker and Tableau

　　Familiarity with advanced analytics methodologies such as anomaly detection, regression analysis, clustering, statistical inference, hypothesis testing, causal inference, and modeling techniques

　　Very comfortable translating highly technical analyses into easily understandable insights for non-technical stakeholders

　　Proven ability to rapidly grasp new technical systems and processes and partner effectively with highly technical product and engineering teams

　　Nice To Haves

　　Experience working with scripting languages such as Python or R

　　Experience in the streaming media industry and/or supporting a direct-to-consumer subscription-based product

　　Experience in the technology industry and knowledge of how to build and implement data products

　　Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow

　　Experience operating in an SDLC environment and deploying code

　　Required Education

　　Bachelor’s degree in Computer Science, Engineering, Mathematics, Econometrics, Statistic or related degreeThe hiring range for this position in Santa Monica, CA is $136,100 to $182,400, and in New York, NY is $142,600 to $191,100 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.

　　Job ID: 10076552

　　Location: Santa Monica,California

　　Job Posting Company: Disney Direct to Consumer

　　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, email [email protected] with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.