The Walt Disney Company · 3 days ago

Manager, Churn Analytics

Santa Monica, CA

Full-time

Onsite

Senior Level

$136K/yr - $182K/yr

8+ years exp

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Amusement Park and ArcadeAnimation

Actively Hiring

Insider Connection @The Walt Disney Company

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Provide leadership and set the strategic vision and direction for the Churn Analytics function

Lead development and sharing of monthly churn reporting to leadership, exploring global trends and drivers and uncovering opportunities to improve subscriber retention

Build and maintain relationships with collaborators and partners across the Direct to Consumer business

Support day-to-day business operations through the creation of self-service data tools and ad hoc analyses

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

Qualification

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Data AnalyticsData InterpretationSQLData VisualizationAdvanced AnalyticsProblem-SolvingLeadershipCommunicationRelationship BuildingTeam ManagementStreaming Media IndustryDirect-to-Consumer ProductsSubscription-Based ProductsTechnology Industry KnowledgeData Product ImplementationData Platforms FamiliarityDatabricksSnowflakeAirflow

Required

Bachelors in Computer Science, Mathematics, Economics, Statistics or related degree

8+ years of relevant data analytics experience including domain expertise in the areas of subscription businesses and/or retention

Consistent track record of building and leading teams of analysts

Very skilled at simplifying sophisticated problems, distilling data, and constructing compelling narratives to guide decision making

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

Strong relationship building and communicating with all levels of the organization, from junior analysts to C-suite leaders

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

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

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

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