Manager, Retention Analytics

  • The Walt Disney Company
  • New York, NY, USA
  • Jan 24, 2019
Full-time Business Analytics CRM Data Analysis Data Visualization Digital Media Predictive Analytics Project Management Python R SQL

Job Description

The Disney Streaming Services Retention Analytics team is looking for a curious, collaborative, and creative Retention Analytics Manager to lead consumer-focused analyses. We aim to understand the impact of organic messaging campaigns on improving engagement and retention of our current ESPN+ and future Disney+ audience. He/she should have experience with analyzing performance data across e-mail, in-app and push as this position will be heavily focused on messaging and e-mail marketing analytics.


  • Partner closely across the Retention Marketing team to identify campaign opportunities with the goal of reducing churn and growing engagement, contribute to the testing strategy and analyze impact.

  • Create applied advanced analytic solutions/predictive modeling to understand and drive engagement growth.

  • Support the development of customer engagement strategies, programs and digital capabilities through data-driven recommendations.

  • Partner with data scientists to more deeply understand our audience and user behavior, as well as a primary research analyst to understand qualitative signals from our audience and connect these insights to user behavior.

  • Ad hoc table development.

  • Customer segmentation modeling for the purposes of actioning marketing campaigns and meeting engagement KPIs.

  • Collaborate with testing analysts to identifying opportunities, designing user experiments, and providing actionable recommendations based on results. 

Basic Qualifications:

The ideal candidate will have experience working for a digital subscription-based business including e-commerce and streaming media. They should:

  • Have 5+ years of CRM analytics experience analyzing user behavior and engagement drivers, as well as experience using CRM analytics tools like Salesforce.

  • Have a demonstrated history of translating complex data sets into clear and actionable narratives and communicate opportunities and challenges to stakeholders.

  • Have experience with data mining techniques, multi-channel attribution modeling and statistics methodologies.

  • Have a background in data visualization and dashboard development.

  • Knowledge of SQL; Python/R or other statistical programming language preferred.

  • Experience managing projects and teams preferred. 

Required Education:

Bachelor’s degree in quantitative field including Marketing, Economics, Business, Mathematics, Statistics, Data Science, Engineering, Physics, Chemistry or Social Science.

Preferred Education:

Graduate degree preferred.

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