Manager, Commerce Analytics - Subscriber Lifecycle Analytics

Job Posting Title:Manager, Commerce Analytics - Subscriber Lifecycle AnalyticsReq ID:10076552Job Description:About The Role & TeamThe 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 DoProvide leadership and set strategic vision and direction for the Commerce Analytics team focused on billing, payments, and fraudManage relationship with stakeholders across the business, including but not limited to the Commerce Product and Engineering organizationsPartner closely with business stakeholders to develop short and long-term product roadmaps based on rigorous analyticsLead A/B testing and experimentation analysis and support key business-critical product launches ensuring commerce flows and product features are optimized and functioning as expectedSupport in day-to-day business operations through quick analytics and anomalyDevelop 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 toolsDrive team development through coaching, mentoring, training, and leadership growthKey Qualifications8+ years of relevant data analytics experience including domain expertise in the areas of commerce, billing, payments, and fraud3+ years of experience managing teams of analystsProven track record of building and leading teams of analysts, data scientists, and data engineersExtremely skilled at simplifying complex problems, distilling data, and constructing compelling narratives to guide decision makingExcellent relationship building and communication skills with all levels of the organization, from junior analysts to C-suite leadersExpertise working with extremely large, disparate data sets and using SQL for data wrangling, designing ETLs, and analysisExperience manipulating large data sets and interpreting data trends using a multitude of disparate data sources and toolsExperience building and scaling experimentation programsFluent in data exploration and visualization tools such as Looker and TableauFamiliarity with advanced analytics methodologies such as anomaly detection, regression analysis, clustering, statistical inference, hypothesis testing, causal inference, and modeling techniquesVery comfortable translating highly technical analyses into easily understandable insights for non-technical stakeholdersProven ability to rapidly grasp new technical systems and processes and partner effectively with highly technical product and engineering teamsNice To HavesExperience working with scripting languages such as Python or RExperience in the streaming media industry and/or supporting a direct-to-consumer subscription-based productExperience in the technology industry and knowledge of how to build and implement data productsFamiliarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, AirflowExperience operating in an SDLC environment and deploying codeRequired EducationBachelor’s degree in Computer Science, Engineering, Mathematics, Econometrics, Statistics, a related field, and/or relevant work experienceThe 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 Posting Segment:Direct to ConsumerJob Posting Primary Business:DTC Data Analytics & SciencePrimary Job Posting Category:Tech Data AnalyticsEmployment Type:Full timePrimary City, State, Region, Postal Code:Santa Monica, CA, USAAlternate City, State, Region, Postal Code:USA - NY - 1211 Avenue of the AmericasDate Posted:2024-01-18SummaryLocation: Santa Monica, CA, USA; New York, NY, USAType: Full time Apply Job!