Data Analyst supporting Growth & Retention Analytics across Disney’s streaming services. Focusing on subscriber behaviors and implementing strategies to improve retention.
Responsibilities
Communicate complex analyses and results to a wide array of business stakeholders with varying technical expertise from operational teams to executive audiences, both in oral presentations and via written reports
Work with operational teams in Marketing, Business Operations, Strategy, and Finance to understand the performance of promotions including acquisition, cannibalization, engagement, retention, and conversion to full price
Develop frameworks to measure the long-term value of a DTC subscriber across multiple offerings and lifecycles.
Use these methodologies to help size opportunities and measure the performance of product and feature launches and pricing/promotion strategy.
Work to optimize our free trial offering to optimize for paid subscribers, ad revenue, and OI.
Partner closely with Analytical Engineering, Data Product, Data Solutions, and Product & Tech Analytics to ensure data is properly instrumented and we have access to high quality data used to analyze and understand cancel flow outcomes across our DTC offerings
Create and maintain operational dashboards in Looker and Tableau to understand performance over time, enable efficient exploratory analysis, and equip partners with self-serve tools
Translate complex business questions into SQL including proper cohorting, calculations, filtering criteria and/or aggregations
Understand the systems and business processes that populate critical systems with data
Requirements
Bachelor’s degree in Business Analytics, Data Science, Statistics, Economics, Mathematics, or related field
3+ years of experience conducting strategic analyses and communicating insights to drive decision-making
2+ years of hands-on analytical work experience using SQL
Experience building, scaling, and interpreting complex LTV frameworks including understanding drivers of change over time and connecting them to shifts in customer behavior, product offerings, or strategy
Strong analytical skills with proven ability to translate complex technical outputs into clear, actionable insights
Highly collaborative with excellent written and verbal communication skills and demonstrated experience presenting directly to Executive stakeholders
Familiarity with statistical modeling concepts and predictive analytics
Expertise with data exploration and data visualization tools such as Tableau or Looker
Comfortable working with large, complex datasets in cloud-based environments such as Snowflake
Benefits
A bonus and/or long-term incentive units may be provided as part of the compensation package
full range of medical, financial, and/or other benefits
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